Data Science at McKinsey

Training a neural network to predict stock price, how to practice advanced Python, machine learning at Github, presenting survey data and more!  [DataCamp](  ISSUE #54 — JULY 10, 2018  Hi there - happy Tuesday! This week’s top community posts include training a neural network to predict stock price, how to practice advanced Python, machine learning at Github, presenting survey data and more! But first, we have a couple of announcements. For the second year in a row, Metis, a data science bootcamp, is hosting [Demystifying Data Science: A FREE, 2-day, Live Online Conference]( on July 24 & 25 from 10am-5pm ET. Day 1: 14 speakers will demystify data science, and discuss the training, tools, and career path to the best job in the United States. Day 2: 14 speakers will explain how data science applies to you, what needs to be done to integrate data science into an organization, and how to achieve this integration. Register [here](. New DataFramed episode! Hugo speaks with Taras Gorishnyy, a Senior Analytics Manager at McKinsey and Head of Data Science at QuantumBlack, a McKinsey company, about what it takes to change organizations through data science. Check it out! [Podcast Episode](  Community Top Posts  [1]( [Training Neural Networks For Stock Price Prediction](  FINANCE  |  Posted by nitint  [Upvotes]( 6 In this article, you will learn how to train Neural Network to make stock price predictions. The Gradient Descent method will help you to execute this strategy. Ultimately you should be able to understand the process of building a Neural Network using the Backpropagation algorithms.  [2]( [How to Practice & Learn Advanced Python Topics?](  PYTHON  |  Posted by rizwankhan19  [Upvotes]( 5 A convenient way of practicing and learning some advanced concepts of python using DataCamp Light.  [3]( [Artificial Neural Network In Python - Predicting Stock Price Movement](  NEURAL NETWORKS  |  Posted by nitint  [Upvotes]( 5 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. The strategy will take both long and short positions at the end of each trading day.  [4]( [Machine Learning & Data Science at GitHub (with Omoju Miller)](  DATAFRAMED  |  Posted by hugobowne  [Upvotes]( 5 What is the role of data science in product development at GitHub, what does it means to 'use computation to build products to solve real-life decision making, practical challenges' and what does building data products at github actually looks like?  [5]( [K-Means Clustering For Pair Selection In Python](  PYTHON  |  Posted by nitint  [Upvotes]( 5 Learn about K-Means clustering, its advantages, and its implementation for Pair Selection in Python. Create a Statistical Arbitrage strategy using K-Means for pair selection and implementing the elbow technique to determine the value of K.  [6]( [Top Courses after MBA Finance](  FINANCE  |  Posted by nitint  [Upvotes]( 5 Here is an extensive list of certifications or courses after MBA finance that can be taken up by students and professionals to enhance their finance career.  [7]( [Presenting Survey Data](  DATA  |  Posted by mikerspencer  [Upvotes]( 4 Use R to present findings from Likert questions in surveys  [8]( [7 Best Services Provided by AWS in 2018](  CLOUD  |  Posted by gnanasekar6914  [Upvotes]( 4 Here’s the latest update on the best services provided by AWS.  [9]( [Turtle Trading In Python](  nan  |  Posted by nitint  [Upvotes]( 4 The core of the turtle trading strategy is to take a position on futures on a 55-day breakout. This blog explains the crux of the strategy in Python.   [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