From a9cd2aad99d990a304da9f5ff06840d9da476fc8 Mon Sep 17 00:00:00 2001 From: Ashish Sapra Date: Wed, 23 Oct 2019 15:52:42 +0530 Subject: [PATCH] README.md has some changes for github --- README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index fdde527..d5b3394 100755 --- a/README.md +++ b/README.md @@ -1,13 +1,13 @@ -#predicting_stock_prices +# Predicting Stock Prices Stock Prediction Challenge by @Sirajology on [Youtube](https://youtu.be/SSu00IRRraY). -##Overview +## Overview This is the code for the Stock Price Prediction challenge for 'Learn Python for Data Science #3' by @Sirajology on [YouTube](https://youtu.be/SSu00IRRraY). The code uses the [scikit-learn](https://github.com/scikit-learn/scikit-learn) machine learning library to train a [support vector regression](https://en.wikipedia.org/wiki/Support_vector_machine) on a stock price dataset from [Google Finance](https://en.wikipedia.org/wiki/Support_vector_machine) to predict a future price. In the video, I use scikit-learn to build an ML model, but for the challenge you'll use the [Keras](https://keras.io) library. There are two scripts. `demo.py` is the code in the video and `challenge.py` is a template for the coding challenge you will complete. -##Dependencies +## Dependencies * numpy (http://www.numpy.org/) * tweepy (http://www.tweepy.org) @@ -17,7 +17,7 @@ There are two scripts. `demo.py` is the code in the video and `challenge.py` is Install missing dependencies using [pip](https://pip.pypa.io/en/stable/installing/) -##Demo Usage +## Demo Usage Once you have your dependencies installed via pip, run the demo script in terminal via @@ -25,7 +25,7 @@ Once you have your dependencies installed via pip, run the demo script in termin python demo.py ``` -##Challenge +## Challenge You'll find the challenge template in this repo labeled `challenge.py`. The instructions are @@ -36,6 +36,6 @@ You'll find the challenge template in this repo labeled `challenge.py`. The inst If you want to use your own template, that's fine too. Submit your code in the comments section and I'll announce the winner in the next video. Good luck! -##Credits +## Credits This code is 100% Siraj