Newsletter Subject

Who is the 'Worst' Bachelor?

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datacamp.com

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team@datacamp.com

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Tue, Sep 11, 2018 01:12 PM

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The worst TV Bachelor. Credit Card Fraud Detection Tutorial. Popular Python Trading Platform. Workin

The worst TV Bachelor. Credit Card Fraud Detection Tutorial. Popular Python Trading Platform. Working with Datetime Date in Python. Analyzing Cricket Performance in R and much more!  [DataCamp](  ISSUE #62 — SEPTEMBER 11, 2018  Hi there - happy Tuesday! This week's newsletter starts off with an analysis of the worst bachelor on tv, followed by a credit card fraud detection tutorial, popular Python trading platforms, working with datetime data in Python, analyzing cricket performance in R and much more! We also are launching a new podcast episode! Hugo speaks with Eric Colson, Chief Algorithms Officer at Stitch Fix, about how data science touches every aspect of their business! [Listen Now](  Community Top Posts  [1]( [Scraping & Plotting: Who Is the 'Worst' Bachelor?](  SCRAPING  |  Posted by jakedaniels  [Upvotes]( 10 Collaborative article on scraping imdb & using ggplot2 visuals to find out who was the worst bachelor!  [2]( [Credit Card Fraud Detection Using Machine Learning](  MACHINE LEARNING  |  Posted by rizwankhan19  [Upvotes]( 10 Credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. This article covers how to implement machine learning based credit card fraud detection.  [3]( [Popular Python Trading Platforms For Algorithmic Trading](  FINANCE  |  Posted by virajb  [Upvotes]( 9 Learn about the most popular python trading platforms and the most widely used python-based libraries for quantitative trading.  [4]( [How to Implement Neural Network Model Using TensorFlow?](  TENSORFLOW  |  Posted by rizwankhan19  [Upvotes]( 9 TensorFlow makes it simple to implement a neural network model. Here, you will implement a neural network application using TensorFlow on an E-commerce dataset. You will learn how to predict the yearly amount spent by each customer based on their browsing behavior.  [5]( [Time Series Analysis: Working With datetime Data In Python](  TIME SERIES  |  Posted by virajb  [Upvotes]( 9 This article discusses some important tools that are really helpful for traders to analyse time series data as well as design and backtest trading strategies. This blog focuses on how to deal with dates, frequency of the time series and more!  [6]( [Option Chain Extraction For NSE Stocks Using Python](  PYTHON  |  Posted by virajb  [Upvotes]( 7 This article explains how to scrape web data using Python and how to extract Option chain data for the stocks listed on the National Stock Exchange of India.  [7]( [The Most Important Machine Learning Algorithms](  MACHINE LEARNING  |  Posted by lohobas  [Upvotes]( 6 Pros and cons of the top 11 algorithms every machine learning engineer should know.  [8]( [Analyzing a Cricket Team's Performance](  R PROGRAMMING  |  Posted by tvganesh85  [Upvotes]( 6 This is a tutorial on using the yorkr package to analyze cricket performance.   [DataCamp Community]( BY THE COMMUNITY, FOR THE COMMUNITY [Discover](  That's all for now. Have a great week!   [DataCamp](  DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118  [Facebook]( [Twitter]( [LinkedIn]( [Instagram]( [YouTube](  [Download on the App Store]( [Get it on Google Play](  [Unsubscribe]( Â

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