Stock_Market_Prediction

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Stock_Market_Prediction

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This is the code for "Stock Market Prediction" by Siraj Raval on Youtube

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최종 버전 다운로드 (.zip)

- DJIA indices data.csv
- Pickled ten year filtered data (Articles + DJIA).pkl
Collecting NYTimes Data.py
Generating Different Models.ipynb
LICENSE
Preparing data (Analysing & filteration).py
README.md

// repository documentation

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# Stock Market Prediction

# Coding Challenge - Due Date, Thursday Sept 14 12 PM PST

Train a machine learning model of your choice on a company stock's historical data as well as 3 other data points. They can be the sentiment from twitter, news headlines, google trends, etc. Be creative, good luck!

## Overview

This is the code for [this](https://youtu.be/JuLCL3wCEAk) video on Youtube by Siraj Raval. This takes the past 10 years of historical price data from the Dow Jones and the news headlines from New York times articles (sentiment analysis) to predict future prices.

## Dependencies

* numpy
* pandas
* nltk
* scikit-learn

Install missing dependencies using [pip](https://pip.pypa.io/en/stable/)

## Usage

Run the jupyter notebook by typing `jupyter notebook` in terminal

Install jupyter [here](http://jupyter.readthedocs.io/en/latest/install.html)

## Credits

Credits for this code go to [dineshdaultani](https://github.com/dineshdaultani). I've merely created a wrapper to get people started.

Stock_Market_Prediction

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