Detecting True & Deceptive Hotel Reviews using Machine Learning

Data Science at Doctors without Borders. Data Visualization with Seaborn. Python for R Users. Algorithmic Trading Career.  [DataCamp](  ISSUE #56 — JULY 24, 2018  Hello - this week’s top community posts cover various topics including the data visualization package Seaborn, the preferred tools for data scientists in 2018, Python for R users and more! And like every week, we have a new DataFramed podcast episode. In this week’s episode of DataFramed, Hugo speaks with Derek Johnson, an epidemiologist with Doctors without Borders. Derek leverages statistical methods, experimental design and data science techniques to investigate the barriers impeding people from accessing health care in Lahe Township, Myanmar. [Listen Now](  Community Top Posts  [1]( [How Seaborn Can Help You Visualize Your Data](  SEABORN  |  Posted by rizwankhan19  [Upvotes]( 8 This module 'Introduction to Seaborn' covers the most commonly used Seaborn plots and technique.  [2]( [2018 SAS, R, or Python Survey: Which do Data Scientists Prefer?](  CAREER  |  Posted by lindaburtch  [Upvotes]( 6 This annual SAS, R or Python survey examines tool preferences and how they vary by demographic factors, as well as how they've shifted over the past few years.  [3]( [Detecting True and Deceptive Hotel Reviews using Machine Learning](  PYTHON  |  Posted by adityasharma101993  [Upvotes]( 6 In this tutorial, you'll use a machine learning algorithm to implement a real-life problem in Python. You will learn how to read multiple text files in python, extract labels, use dataframes and a lot more!  [4]( [Making A Career In Algorithmic Trading](  FINANCE  |  Posted by nitint  [Upvotes]( 6 The last couple of decades have seen an exponential growth in the algorithmic trading market. This post gives an overview of how to make a career in this relatively new field.  [5]( [New Course: Python for R Users](  DATA SCIENCE  |  Posted by sudarshanpal1996  [Upvotes]( 4 Learn about our new course that will help you cross the R-Python language barrier.  [6]( [Residual Networks](  DEEP LEARNING  |  Posted by sleebapaul  [Upvotes]( 4 Here is a tutorial on the paper "Deep Residual Learning for Image Recognition" by Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun at Microsoft Research.  [7]( [Chatbots, Conversational Software & Data Science (with Alan Nichol)](  DATAFRAMED  |  Posted by hugobowne  [Upvotes]( 4 What is the current state-of-the-art in chatbots & conversational software? Where is the field heading?  [8]( [How To Become A Data Scientist in 12 Months](  RESOURCES  |  Posted by jbyrne6datascience  [Upvotes]( 4 A collection of resources on how to become a data scientist in 12 months.   [DataCamp Community]( BY THE COMMUNITY, FOR THE COMMUNITY [Discover](  [Seaborn Heatmap](  Plot generated using Python package Seaborn in the 1st chapter of our newest course “Data Visualization with Seaborn”   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