Predicting Sales From The Language Of Product Descriptions Github

This is the time to determine which of the 3 sales team structures is best suited for you. Complete with the industry's first C/C++/OpenCL full-system optimizing compiler, SDSoC delivers system. The SDSoC™ development environment provides a familiar embedded C/C++/OpenCL application development experience including an easy to use Eclipse IDE and a comprehensive design environment for heterogeneous Zynq ® SoC and MPSoC deployment. With this extension you can add product brands to your WooCommerce site. Each NSN is listed with the vendors description of the item. They predict demand, identify markets, set prices, and develop ways to promote products and services. For the purpose of this discussion, let’s classify the wines into good, bad, and normal based on their quality. Price Industries - Who We Are The founding principles of Price have never changed – business integrity, first-class service, innovation and a commitment to people. from Apple. 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Product marketing, as a job function within a firm, also differs from other marketing jobs such as social media marketing, marketing communications ("marcom"), online marketing, advertising, marketing strategy, and public relations, although product marketers may use channels such as online for outbound marketing for their product. iSixSigma is your go-to Lean and Six Sigma resource for essential information and how-to knowledge. A sales strategy is an approach to selling that allows an organization’s sales force to position the company and its product(s) to target customers in a meaningful, differentiated way. A marketing manager is in charge of an organization's entire marketing team. Sep 14, 2019 Learn about the education and preparation needed to become a retail sales merchandiser. The data has strong seasonality and a standard regression model would works fine, the problem is that the historic data will not be updated, meaning that the observed data points will not be incorporated. You can use any similarity measure (like dot product, cosine product, Euclidean distance, and so on) to get a similarity metric for any set of rules. Each NSN is listed with the vendors description of the item. nlp prediction example. Other Languages: D, C++ CUDA. But this time, we will do all of the above in R. We don’t serve ads—we serve you, the curious reader. Working with GitHub Pages You can create a website directly from a GitHub repository. The company used SAML (Security Assertion Markup Language), an industry standard data format for exchanging authentication and authorization data between identity and service providers, which can support a variety of federated identity. R is open source and allows integration with other applications and systems. Over time, as natural language processing and machine learning techniques have evolved, an increasing number of companies offer products that rely exclusively on machine learning. The job description is a list of the qualifications, qualities and background the employer is looking for in an ideal candidate. They discuss language translation services for enterprises and governments, the rigor required to deliver enterprise software, and the internationalization of products. Our sole purpose is to help you find compelling ideas, knowledge, and perspectives. Spike-and-slab method. Machine learning platform. You can transform unstructured text into structured information by identifying entity types, languages, detect sentiments with individual topics in texts, and more. Discover how to develop deep learning models for text classification, translation, photo captioning and more in my new book , with 30 step-by-step tutorials and full source code. Flexible Data Ingestion. Java Platform, Enterprise Edition 6 Web Profile SDK Update 3 (with JDK 6u29). By predicting actual sales, you're forecasting what you think will be sold. Forecasting refers to the process of using statistical procedures to predict future values of a time series based on historical trends. National Stock Number extract includes the current listing of National Stock Numbers (NSNs) , NSN item name and descriptions, and current selling price of each product listed in GSA Advantage and managed by GSA. When we see a new subject, we want to forget the gender of the old subject. Introduces CLV and two modeling techniques for predicting CLV. In general, statistical softwares have different ways to show a model output. Bing helps you turn information into action, making it faster and easier to go from searching to doing. Example Domain. You will recall that a sale is defined by the Uniform Commercial Code (UCC) as a “transfer of title from seller to buyer for a price. ExcelR offers Data Science course in Nagpur, the most comprehensive Data Science course in the market, covering the complete Data Science lifecycle concepts from Data Collection, Data Extraction, Data Cleansing, Data Exploration, Data Transformation, Feature Engineering, Data Integration, Data Mining, building Prediction models, Data Visualization and deploying. 2019-09-30 — Apache Subversion 1. I 116th CONGRESS 1st Session H. In this blog post I’ll explain how we’re making our sales process at Xeneta more effective by training a machine learning algorithm to predict the quality of our leads based upon their company…. Regression trainers. AWS Lambda lets you run code without provisioning or managing servers. Auth0 is the solution you need for web, mobile, IoT, and internal applications. For more details, check an article I’ve written on Simple Linear Regression - An example using R. Die = became disinterested with your product) Predicting the lifetime value of your customers; Specific Application: Customer Lifetime Value. To request more information visit Blackboard’s website transition resource center. The job description is a list of the qualifications, qualities and background the employer is looking for in an ideal candidate. According to Thomas Davenport in the HBR, analytical technology has changed dramatically over the last decade, with more powerful and less expensive distributed computing across commodity servers, streaming analytics, and improved machine learning technologies, enabling companies to store and analyze both far more data and many different. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Electron Forge unifies the existing (and well maintained) build tools for Electron development into a simple, easy to use package so that anyone can jump right in to Electron development. Solving large complex optimization problems can be the difference between success and failure in today's marketplace. The aim is to build a predictive model and find out the sales of each product at a particular store. Industrial augmented reality companies are helping revolutionize how you train and empower your workers. Working on a Project of your own is the best thing you can do to enhance & implement your R Programming skills. Fluency in a foreign language, as well as cultural knowledge, is required when marketing products and services abroad. Windows and Mac users most likely want to download the precompiled binaries listed in the upper box, not the source code. They may also used for weather forecasting, to predict stock market prices, or to predict sales, incorporating time series or spatial models. This is a regression problem. Tech-enabled translation company. Similarity is not defined by user or item attributes but by users' previous actions. and qualitative descriptions of the. itemscope is used to set the scope of where in the data structure the vocabulary set by itemtype will be active. This field is an calculatd field and should contain phonenumber of a contact. Our software predicts the movements of everything around us based on their speed and trajectory. Your product’s taking off. Declarative templates with data-binding, MVW, MVVM, MVC, dependency injection and great testability story all implemented with pure client-side JavaScript!. Start learning today with flashcards, games and learning tools — all for free. Product Description Everything you need to teach and reinforce all 6 decoding reading strategies in a fun, exciting way, using Beanie Baby animal characters to represent each strategy!! Comprehensive, and easy-to-follow teacher guides. The most comprehensive pre-K–12 interim and formative assessment. User can view the product video in product details page at the b. Need access to an account? If your company has an existing Red Hat account, your organization administrator can grant you access. The SDSoC™ development environment provides a familiar embedded C/C++/OpenCL application development experience including an easy to use Eclipse IDE and a comprehensive design environment for heterogeneous Zynq ® SoC and MPSoC deployment. Coauthored by the designer of the Scala language, this authoritative book will teach you, one step at a time, the Scala language and the ideas behind it. Accurate Sales Forecast for Data Analysts: Building a Random Forest model with Just SQL and Hivemall. let us move and create a model to which would predict the price of the house. Start using most reviewed, highest rated inventory control software today with a free 15 day trial! Learn more about EZOfficeInventory. Flexible Data Ingestion. See LICENSE. Take control of your R code. One product could sell out, while another might not move at all. The association of detections to the same object is based solely on motion. A good sales presentation will summon all of these feelings and more at the right times. There is also a paper on caret in the Journal of Statistical Software. Others work directly for employers as part of a marketing team at consumer and product firms. Your students will work on predicting, character traits, story sequence, problem and solution and more. Business Process Design Templates – MS Word, Excel + Visio. The marketing campaigns were based on phone calls. Set in a vast array of Disney and Pixar worlds, KINGDOM HEARTS follows the journey of Sora, a young boy and unknowing heir to a spectacular power. An employee walks through the lobby of Google's Washington headquarters, Jan. You can check on Github and yahoo. Windows and Mac users most likely want to download the precompiled binaries listed in the upper box, not the source code. 09/30/2019; 13 minutes to read +5; In this article. The InsideView targeting intelligence platform powers the world’s business conversations, helping the sales and marketing teams of more than 20,000 companies redefine their go-to-market strategies from a volume-based to more targeted approach. Machine learning platform. It only takes one line! We multiply the vectorized input images x by the weight matrix W, add the bias b, and compute the softmax probabilities that are assigned to each class. More precisely in business context Sales - Sales Document. For example, one may need to predict sales, given information about stores and products or just stores or just products. Over time, as natural language processing and machine learning techniques have evolved, an increasing number of companies offer products that rely exclusively on machine learning. You’ve got traction in your market, and you’re looking to go even further. It understands that a vehicle will move differently than a cyclist or pedestrian. Alt text (alternative text), also known as "alt attributes", “alt descriptions", or technically incorrectly as "alt tags,” are used within an HTML code to describe the appearance and function of an image on a page. Unlike niche solutions that simply can’t. Below is a sample of a report built in just a couple of minutes using the Blank Canvas app. EssayZoo: Cheap pre written essays for sale as well as custom essay writing services. SELECT column_1_name, column_2_name, FROM first_table_name RIGHT JOIN second_table_name ON first_table_name. sales The Government Publishing Office (GPO) processes all sales and distribution of the CFR. Most strategies involve a detailed plan of best practices and processes set out by management. Download the GPS traffic app, powered by community. NET ecosystem. Here at TOPO. With this extension you can add product brands to your WooCommerce site. Using real world online shop data to model and predict treatment effects on continuous variables, aiming for profit optimization One sentence description of your. Programming languages are not simply the tool developers use to create programs or express algorithms but also instruments to code and decode creativity. A few of the essential concepts within the C++ programming language include polymorphism, virtual and friend functions, templates, namespaces and pointers. The model is designed to work with time series data. You may use this domain in literature without prior coordination or asking for permission. Learn online and earn credentials from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. It is on sale at Amazon or the the publisher’s website. No matter where you are in the world or what surfaces you're painting or coating, Sherwin-Williams provides innovative paint solutions that ensure your success. This project has adopted the Microsoft Open Source Code of Conduct. NET Core MVC web application by using. Description Using Intel® TBB you can leverage multi-core performance and heterogeneous computing without being a threading or parallel programming expert. For the past year, we've compared nearly 8,800 open source Machine Learning projects to pick Top 30 (0. Make predictions based on the hypothesis. Predicting house prices based on house attributes such as number of bedrooms, location, or size. ap_bookmark. NET to create a GitHub issue classifier to train a model that classifies and predicts the Area label for a GitHub issue via a. Our mission is to create a language-learning platform that transforms the way organizations conduct their language learning programs. You can read unbiased product reviews and compare prices online. More control flow tools in Python 3 Python is a programming language that lets you work quickly and integrate systems more effectively. Just edit, push, and your changes are live. This article is the second part of a four-part series that discusses how you can predict customer lifetime value (CLV) by using AI Platform (AI Platform) on Google Cloud Platform (GCP). Learn more about Box's full range of products. This content is also available on GitHub as a Jupyter notebook. This field is an calculatd field and should contain phonenumber of a contact. More control flow tools in Python 3 Python is a programming language that lets you work quickly and integrate systems more effectively. Predicting fluid flow rates, pressure drops, and turbulence are just a few items that are challenging to measure during design. From service excellence and overall operational efficiency, to reduced downtime and training costs, discover why AR is the best way to supercharge your workforce. With our flexible licensing or subscription models, you choose. Profit Margin. This test uses a skill-based model of emotional intelligence that is intuitive and easy to apply in the real world, with a self-scoring, self-directed, user-friendly 28-question assessment. Software Overview. An analytic database is specifically designed to support business intelligence and analytic applications, typically as part of a data warehouse or data mart. This approach is useful for visualizing and understanding how different observations (rules, in this case) are related to one another. It'll help increase your sales by offering your loyal customers discount on products and incentive to spend. There are 10 different groups of cards-Asking Questions, Determining Importance, Inferring, Making Connections, Predicting, Summarizing, Synthesizing, Visualizing, and Non-Fiction. Let's discuss some of the good R project ideas- 1. The TurboTax home page shows basic product choices arrayed side by side for easy comparison. Gives leaders a complete understanding of their performance capabilities, challenges, and underlying motivators along with a five-step development planning worksheet and career development primer. Small business. As emphasized by P. For more information on using KML files in maps, read the guide to KML Layers. Qualcomm products referenced on this page are products of Qualcomm Technologies, Inc. csv - the training set. Display numbers, currency, dates and times for different locales. This 21st-century solution is built in industry-specific editions to address unique industry challenges. Bing helps you turn information into action, making it faster and easier to go from searching to doing. I would ditch the cumulative approach and instead construct a scatterplot of sales vs time (days or months). One product could sell out, while another might not move at all. NET platform and designed for improving productivity in the development of Web applications. Overview Gallery Connect to Data Home. Creating a robust model that can handle such situations is part of the challenge. These 998 transactions are easily summarized and filtered by transaction date, payment type, country, city, and geography. io Find an R package R language docs Run R in your browser R Notebooks R Package Documentation A comprehensive index of R packages and documentation from CRAN, Bioconductor, GitHub and R-Forge. I am attaching the github(Now Gitlab :P) links to the code and the dataset. from Apple. 38%, which is not bad for start and for a naive classifier. Predicting the success of literary works is a curious question among publishers and aspiring writers alike. So, I've been trying to implement my first algorithm to predict the (sales/month) of a single product, I've been using linear regression since that was what were recommended to me. Use data analysis to take your business to a whole new level. Qt supports multiple platform using the same code base for all and can be deployed on multiple type of devices. Predicting future stock prices based on historical data and current market trends. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Similarly, if the program is predicting that some image is a bird, it will have high values in the activation maps that represent high level features like wings or a beak, etc. Intuit's mission is powering prosperity around the world. To help you get going with deploying MarkLogic on Amazon Web Services (AWS), MarkLogic provides prebuilt Amazon Machine Images and CloudFormation Templates. Besides Crypto Currencies, there are multiple important areas where time series forecasting is used for example : forecasting Sales, Call Volume in a Call Center, Solar activity, Ocean tides, Stock market behaviour, and many others. The technique for time series decomposition. The objective is to predict the Purchase field given all the other features. Microsoft Azure Machine Learning simplifies data analysis and empowers you to find the answers your business needs. The interesting point on using YQL is that you can personalize your response format (json or xml) and properties. In this post you will go on a tour of real world machine learning problems. In episode 16 of EnterpriseReady, Grant speaks with Spence Green, Founder and CEO of Lilt. So, what makes GitHub so special? Git is a command-line tool, but the center around which all things involving Git revolve is the hub—GitHub. The current release version can be found on CRAN and the project is hosted on github. 000 shoppers (the train set). Most of the features are self explanatory. Description: There are various types of market share. Search through over 50 000 unique APA, MLA style essay samples! 100% CONFIDENTIALITY GUARANTEE! 100% MONEY BACK GUARANTEE! 100% PAYMENT SECURITY – PAYPAL 24/7 CUSTOMER SUPPORT!. A better description of that same filter propagation uses the concept of expanded tables. * Presented product roadmap to executives from strategic customers to drive sales motion and get high-level feedback on business alignment * Leading product management efforts for GitHub security. On 800K samples with a batch size of 256, we achieve an overall f1 score of ~0. The motion of each track is estimated by a Kalman filter. Our sales team, is in m. While the VN1610/VN1611 with 2 channels focuses on minimum size and weight, the VN1630A/VN1630 log/VN1640A with 4 channels are designed for flexibility and IO support. The marketing campaigns were based on phone calls. Being able to identify that the combination of store and products can lead to very different sales is key for predicting the target variable, as a big store or a popular product will have higher sales than a small store and. 2 Using Azure AD B2C, the user authenticates. Each row represents. Scala began life in 2003, created by Martin Odersky and his research group at EPFL, next to Lake Geneva and the Alps, in Lausanne, Switzerland. FpML is used between participating companies for. There are typically two phases in machine learning with real-time data: Data Discovery: The first phase involves analysis on historical data to build the machine learning model. Traditionally the analysis tools are mainly SPSS and SAS, however, the open source R language is catching […]. Optical character recognition (OCR) is used to digitize written or typed documents, i. Tasks like product placement, inventory management, customized offers, product bundling, etc. Tableau can help anyone see and understand their data. Description. MATLAB ® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. You can switch from one language to the other without having to save your work in-between. The objective is to predict the Purchase field given all the other features. The filter applied on Product[Product] follows the relationship between Product and Sales, thus filtering the Sales table too. Description: There are various types of market share. and qualitative descriptions of the. Let's discuss some of the good R project ideas- 1. The TransferWise API supports this product in version two of the quotes API. Learning to Predict Without Looking Ahead: World. Coming back to the lower sales figures for grocery stores, from the description of the data it is not immediately clear why that is so. If you do not know what this means, you probably do not want to do it! The latest release (2018-07-02, Feather Spray) R-3. Aggregations on top of the graph provide additional insights, some of which can contribute back to further complete the graph. This video animation provides an overview of Intel® software contributions to big data and analytics. Working through this tutorial will provide you with a framework for the steps and the tools. Sales Representative Job Description Template. As soon as a new initiative is finalized on our roadmap, we use Mixpanel to measure user behavior and the product’s impact on our business goals. The TwiML element replies to incoming text messages. This is for the privilege of selling your app in their store. FICO ® Xpress Optimization is composed of four core components: FICO ® Xpress Insight, FICO ® Xpress Executor, FICO ® Xpress Solver and FICO ® Xpress Workbench. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. By predicting actual sales, you're forecasting what you think will be sold. I tried in Standard App "Custom Field Logic" to. From tracking quotas to pipeline, Tableau helps sales teams transcend report building and perform trustworthy analysis from a single source of truth that decision makers can rely on. I need to build a model using climate variables (temperature, rainfall) to predict monthly sales (horizon of 6 months) for certain product. This is an extremely competitive list and it carefully picks the best open source Machine Learning libraries, datasets and apps published between January and December 2017. predict(twenty_test. For apps, the variable cost is the iTunes store commission. Create Let cross-functional teams work without barriers as they design, develop, and deliver content of all kinds: code, images, artifacts, and more. Aku pikir aku ini lemah, sebab menangis adalah hal terakhir yang bisa aku lakukan. Create an HTTP API for predicting cat or dog Consume the HTTP API from a web page This is a sample application that you can use to follow along with the tutorial at Make machine learning predictions with TensorFlow and Azure Functions. Easily interact with the WooCommerce REST API using this library. Find out what languages are supported by Office on your device/OS. The Russian economy is commodity-driven. jQuery before 3. Choosing the right forecasting technique can make a huge difference in your ability to accurately predict future revenue. Description. txt) or read online for free. Synonyms for predict at Thesaurus. There are four datasets:. TACTICAL MOMENTUM algorithms are the best at predicting stock prices. Rather than tell students that water changes state at 0°C, let them see it for themselves! You can also investigate magnetic fields, gravity, and force. Unlike niche solutions that simply can’t. 2019-09-30 — Apache Subversion 1. Hardie, understanding and acting on customer lifetime value (CLV) is the most important part of your business's sales efforts. To be available for viewing, a product needs to be active, and its app needs to be published. This simple shopping cart plugin lets you sell products and services directly from your own wordpress site and turns your WP blog into an ecommerce site. Potential loss scenarios should be identified during a risk assessment. People are constantly throwing off a storm of signals. co/MjO8e4NcsA https://t. Can I predict sale of soft drinks for next week based on weekly weather forecast? l already have historical data having min-max temperature and sales of soft drink for last 10 years. For more information on using KML files in maps, read the guide to KML Layers. As emphasized by P. Can be used not only in React. Snip2Code is a web service for software developers to share, collect and organize code snippets. Description As we constantly are predicting likely futures, we create expectations about future events. To request data, schedule an interview with an analyst/expert or fact check a scheduled story, please review the list of regional, functional and industry areas below and contact the appropriate person. There is a companion website too. It may be worthwhile to investigate what localized issues could be creating the high turnover among these groups within the organization. No matter where you are in the world or what surfaces you're painting or coating, Sherwin-Williams provides innovative paint solutions that ensure your success. This book starts with an introduction to machine learning and the Python language and shows you how to complete the setup. JSON — short for JavaScript Object Notation — is a format for sharing data. If you know the slope and the y-intercept of that regression line, then you can plug in a value for X and predict the. highly uncertain with only the ECMWF predicting an amplified RMM2 state. If you do not know what this means, you probably do not want to do it! The latest release (2018-07-02, Feather Spray) R-3. Web developers work closely with project managers and designers to ensure that final products adhere to predetermined budgets, scope, and designs. react-intl-universal is a React internationalization package developed by Alibaba Group. Matthew Dixon is the chief product and research officer at Tethr, which uses artificial intelligence to mine customer voice data in order to help companies improve service, sales, marketing. Toward that goal, AXA's R&D team in Japan has been researching the use of machine learning to predict if a driver may cause a large-loss case during the insurance period. Can I predict sale of soft drinks for next week based on weekly weather forecast? l already have historical data having min-max temperature and sales of soft drink for last 10 years. For apps, the variable cost is the iTunes store commission. Product Marketing Manager, Microsoft Dynamics 365 The CDP Institute's latest research indicates that 34 percent of B2B companies plan to start deploying a customer data platform (CDP) in the next year, compared with just 19 percent of B2C companies. Dynamic Scoping When a function is de ned in the global environment and is subsequently called from the global environment, then the de ning. Save time & money by riding together with Waze Carpool. for each dollar amount spent in advertisement, sales increase by $1. PWS Historical Observations - Daily summaries for the past 7 days - Archived data from 200,000+ Weather Underground crowd-sourced sensors from 2000. Get to know FDA’s drug development and approval process -- ensuring that drugs work and that the benefits outweigh their known risks. Description Credit card fraud is a growing problem worldwide and costs upwards of billions of dollars per year. Vocabulary of Graphs and Charts. The WooCommerce Order Status Manager allows you to create, edit, and delete custom order statuses and integrate them seamlessly into your WooCommerce order management flow. Run ContraxSuite on your own servers or let us host and support it in the cloud. Logger Lite makes collecting science and math data easier than ever. Similar to human languages, programming languages have a set of words (a. In this example we are bothered to predict a numeric value. Atlassian | Software Development and Collaboration Tools. To tackle this challenge, we use machine learning techniques to estimate historical lost sales and predict future demand of new products. You use TwiML to tell Twilio how to respond to incoming text messages and phone calls. "From project planning and source code management to CI/CD and monitoring, GitLab is a complete DevOps platform, delivered as a single application. ” Call center best practices include using more positive language and finding ways to give more information to the caller. For information on which languages are supported by the Natural Language API, see Language Support. A supervised machine learning task that is used to predict which of two classes (categories) an instance of data belongs to. For example, you want to sell a house and you don’t know the price which you can take — it can’t be too low or too high. Development of new student projects, Contribution to the research community in terms of sharing archive of resources/datasets, code contribution: Progress in programming publicly available code in Github, Making new mobile apps or products useful to the society, innovations and startups. Create a model to predict house prices using Python be found on my github link. Experienced Retail Sales Merchandiser who oversees the planning of product ranges sales and stock plans with vendors and buyers. Given sales data for 1559 products across 10 stores of the Big Mart chain in various cities the task is to build a model to predict sales for each particular product in different stores. spatialkey datasets. Frequently confused with advertising and sales, marketing is far broader. keyfield = second_table_name. If you know the slope and the y-intercept of that regression line, then you can plug in a value for X and predict the. Tableau can help anyone see and understand their data. This article is the second part of a four-part series that discusses how you can predict customer lifetime value (CLV) by using AI Platform (AI Platform) on Google Cloud Platform (GCP). Time series models is one way to predict them. However, you also have a variable cost A cost that business incurs on each sale. Besides Crypto Currencies, there are multiple important areas where time series forecasting is used for example : forecasting Sales, Call Volume in a Call Center, Solar activity, Ocean tides, Stock market behaviour, and many others. Our consultants first understand your business challenges and then custom-build a scalable solution by selecting the best models, enabled by our community of over 20,000 data scientists. Recommended Coverage: 100 square feet at 2 inches deep. or fax your order to 202-512-2104, 24 hours a day. lm produces a vector of predictions or a matrix of predictions and bounds with column names fit, lwr, and upr if interval is set. Machine learning platform. GitHub, the open source code-sharing platform supporting 52 million projects, has upgraded its code-hosting services with single sign-on (SSO) authentication. In today’s blog post, we shall look into time series analysis using R package – forecast. This section demonstrates a few ways to detect sentiment in a document. unit price, delivery time etc. Your session is about to expire. Kaggle Challenge: Predict Future Sales. CREAM https://t. If you’re using a test account, active items are available in unpublished apps. Take control of your R code. First, a sale cannot occur without a shift in title. Declarative templates with data-binding, MVW, MVVM, MVC, dependency injection and great testability story all implemented with pure client-side JavaScript!. Product list. But as we just explained, both approaches have major drawbacks. For payment by credit card, call toll-free, 866-512-1800, or DC area, 202-512-1800, M-F 8 a. We even started working on decision trees and applying machine learning tools to try and predict certain attributes based on the provided variables. The fact-checkers, whose work is more and more important for those who prefer facts over lies, police the line between fact and falsehood on a day-to-day basis, and do a great job. Today, my small contribution is to pass along a very good overview that reflects on one of Trump’s favorite overarching falsehoods. Namely: Trump describes an America in which everything was going down the tubes under  Obama, which is why we needed Trump to make America great again. And he claims that this project has come to fruition, with America setting records for prosperity under his leadership and guidance. “Obama bad; Trump good” is pretty much his analysis in all areas and measurement of U.S. activity, especially economically. Even if this were true, it would reflect poorly on Trump’s character, but it has the added problem of being false, a big lie made up of many small ones. Personally, I don’t assume that all economic measurements directly reflect the leadership of whoever occupies the Oval Office, nor am I smart enough to figure out what causes what in the economy. But the idea that presidents get the credit or the blame for the economy during their tenure is a political fact of life. Trump, in his adorable, immodest mendacity, not only claims credit for everything good that happens in the economy, but tells people, literally and specifically, that they have to vote for him even if they hate him, because without his guidance, their 401(k) accounts “will go down the tubes.” That would be offensive even if it were true, but it is utterly false. The stock market has been on a 10-year run of steady gains that began in 2009, the year Barack Obama was inaugurated. But why would anyone care about that? It’s only an unarguable, stubborn fact. Still, speaking of facts, there are so many measurements and indicators of how the economy is doing, that those not committed to an honest investigation can find evidence for whatever they want to believe. Trump and his most committed followers want to believe that everything was terrible under Barack Obama and great under Trump. That’s baloney. Anyone who believes that believes something false. And a series of charts and graphs published Monday in the Washington Post and explained by Economics Correspondent Heather Long provides the data that tells the tale. The details are complicated. Click through to the link above and you’ll learn much. But the overview is pretty simply this: The U.S. economy had a major meltdown in the last year of the George W. Bush presidency. Again, I’m not smart enough to know how much of this was Bush’s “fault.” But he had been in office for six years when the trouble started. So, if it’s ever reasonable to hold a president accountable for the performance of the economy, the timeline is bad for Bush. GDP growth went negative. Job growth fell sharply and then went negative. Median household income shrank. The Dow Jones Industrial Average dropped by more than 5,000 points! U.S. manufacturing output plunged, as did average home values, as did average hourly wages, as did measures of consumer confidence and most other indicators of economic health. (Backup for that is contained in the Post piece I linked to above.) Barack Obama inherited that mess of falling numbers, which continued during his first year in office, 2009, as he put in place policies designed to turn it around. By 2010, Obama’s second year, pretty much all of the negative numbers had turned positive. By the time Obama was up for reelection in 2012, all of them were headed in the right direction, which is certainly among the reasons voters gave him a second term by a solid (not landslide) margin. Basically, all of those good numbers continued throughout the second Obama term. The U.S. GDP, probably the single best measure of how the economy is doing, grew by 2.9 percent in 2015, which was Obama’s seventh year in office and was the best GDP growth number since before the crash of the late Bush years. GDP growth slowed to 1.6 percent in 2016, which may have been among the indicators that supported Trump’s campaign-year argument that everything was going to hell and only he could fix it. During the first year of Trump, GDP growth grew to 2.4 percent, which is decent but not great and anyway, a reasonable person would acknowledge that — to the degree that economic performance is to the credit or blame of the president — the performance in the first year of a new president is a mixture of the old and new policies. In Trump’s second year, 2018, the GDP grew 2.9 percent, equaling Obama’s best year, and so far in 2019, the growth rate has fallen to 2.1 percent, a mediocre number and a decline for which Trump presumably accepts no responsibility and blames either Nancy Pelosi, Ilhan Omar or, if he can swing it, Barack Obama. I suppose it’s natural for a president to want to take credit for everything good that happens on his (or someday her) watch, but not the blame for anything bad. Trump is more blatant about this than most. If we judge by his bad but remarkably steady approval ratings (today, according to the average maintained by 538.com, it’s 41.9 approval/ 53.7 disapproval) the pretty-good economy is not winning him new supporters, nor is his constant exaggeration of his accomplishments costing him many old ones). I already offered it above, but the full Washington Post workup of these numbers, and commentary/explanation by economics correspondent Heather Long, are here. On a related matter, if you care about what used to be called fiscal conservatism, which is the belief that federal debt and deficit matter, here’s a New York Times analysis, based on Congressional Budget Office data, suggesting that the annual budget deficit (that’s the amount the government borrows every year reflecting that amount by which federal spending exceeds revenues) which fell steadily during the Obama years, from a peak of $1.4 trillion at the beginning of the Obama administration, to $585 billion in 2016 (Obama’s last year in office), will be back up to $960 billion this fiscal year, and back over $1 trillion in 2020. (Here’s the New York Times piece detailing those numbers.) Trump is currently floating various tax cuts for the rich and the poor that will presumably worsen those projections, if passed. As the Times piece reported: