Modeling & Music Classification

Topic Modeling and Music Classification. Feature Engineering. Building Data Science Teams. Extracting Historical Data using Python. Forecasting stock return.  [DataCamp](  ISSUE #52 — JUNE 26, 2018  [DataCamp Weekly]( Hi there - this week’s newsletter covers topic modeling and music classification, feature engineering, sentiment analysis trading strategy, a visual introduction to machine learning and much more. But first, here are a couple of announcements. Join us on Thursday, June 28th at 10 AM EDT for our webinar [Inside the Data Science Workflow]( by Hugo Bowne-Anderson, data scientist at DataCamp. Hugo will demystify the data science workflow by taking you through all the nuts and bolts of data science. He will cover the steps from data cleaning and exploration to machine learning, statistical modeling and the state-of-the-art in artificial intelligence. [Register today](. What are best practices for organizing data science teams? What are the most important skills for data scientists? Find out in episode 28 of DataFramed, where Hugo chats with Jonathan Nolis. [Podcast Episode](  Community Top Posts  [1]( [Machine Learning and NLP using R: Topic Modeling and Music Classification](  NLP  |  Posted by debbieliske  [Upvotes]( 15 In this tutorial, you will build four models using Latent Dirichlet Allocation (LDA) and K-Means clustering machine learning algorithms.  [2]( [Want to add/drop input features? Here's how to.](  DATA ENGINEERING  |  Posted by rizwankhan19  [Upvotes]( 8 This article covers different approaches to implement feature engineering i.e. how to select your input features.  [3]( [A Visual Introduction to the Bias-Variance Tradeoff](  MACHINE LEARNING  |  Posted by eliekawerk  [Upvotes]( 7 Extremely interesting visual explanations of the bias-variance tradeoff in supervised machine learning.  [4]( [Extracting Historical Earnings Data Using Python](  KERAS  |  Posted by nitint  [Upvotes]( 6 Learn how to build an artificial neural network in Python using the Keras library. This neural network will be used to predict stock price movement for the next trading day.  [5]( [Decision Tree Classifier For Trading Part-1](  MACHINE LEARNING  |  Posted by nitint  [Upvotes]( 6 This strategy to use decision tree classifier for trading will cover no normal technical indicators, but some of the author's own creation.  [6]( [Crowdsourced Sentiment Analysis Trading Strategy](  SENTIMENT ANALYSIS  |  Posted by nitint  [Upvotes]( 6 This article explores a simple Crowdsourced sentiment analysis trading strategy based on a sentiment indicator bar provided by a financial news portal.  [7]( [Forecasting Stock Returns Using ARIMA Model](  nan  |  Posted by nitint  [Upvotes]( 6 In this post, we will cover the popular ARIMA forecasting model to predict returns on a stock and demonstrate a step-by-step process of ARIMA modeling using R programming.  [8]( [Data Security, Data Privacy and the GDPR (with Katharine Jarmul)](  DATAFRAMED  |  Posted by hugobowne  [Upvotes]( 5 What are the biggest challenges currently facing data security and privacy? What does the GDPR mean for civilians, working data scientists and businesses around the world? Is data anonymization actually possible or a pipe dream?  [9]( [A visual introduction to machine learning](  ML  |  Posted by jaedukseo  [Upvotes]( 5 A cool visual explanation and introduction to machine learning.  [10]( [Organizations Striving To Close The Data Science Skills Gap](  CAREERS  |  Posted by adam  [Upvotes]( 5 How are organizations closing the data science skill gap? What is the current status of data teams in these organizations?   [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