Predicting Stock Price Movement With Random Forests | Data Preprocessing

With a high-level overview of the Random Forests model and some of its components we can begin the process of collecting and aggregating our data. In this video, we will use the TD API to collect historical price data to feed into our model. Once we have our data, we will use Pandas to transform it so we can begin to calculate our indicators. Video Resources: -------------------------------------------------- Resource: GitHub File Link: https://github.com/areed1192/sigma_coding_youtube/tree/master/python/python-data-science/machine-learning/random-forest/random_forest_price_prediction.ipynb Resource: Sigma Coding Random Forest Folder Link: https://github.com/areed1192/sigma_coding_youtube/tree/master/python/python-data-science/machine-learning/random-forest/ Resources: -------------------------------------------------- Facebook Page: https://www.facebook.com/codingsigma Facebook Group: https://www.facebook.com/groups/sigmacoding GitHub Sigma Coding: https://github.com/areed1192/sigma_coding_youtube Support Sigma Coding: -------------------------------------------------- Patreon: https://patreon.com/sigmacoding Amazon Associates: https://amzn.to/3bsTI5P ** Related Topics: -------------------------------------------------- Title: Predicting Stock Price Movement With Random Forests | Building the Model Link: https://youtu.be/E2LX_hUHMn0 Title: Predicting Stock Price Movement With Random Forests | Data Preprocessing Link: https://youtu.be/W2hXbqnrUyY Title: Predicting Stock Price Movement With Random Forests | Indicators Link: https://youtu.be/bdEQwJ6SPnA Title: Predicting Stock Price Movement With Random Forests | Introduction Link: https://youtu.be/V8jZuOtckn8 Title: Predicting Stock Price Movement With Random Forests | Model Evaluation Link: https://youtu.be/iJmteST6fP8 Title: Predicting Stock Price Movement With Random Forests | Model Improvement Link: https://youtu.be/ioUtR92tDAA **Amazon Associates Disclosure: -------------------------------------------------- I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com. One of the ways I support the channel is by using Amazon Associates to earn fees on purchases you make. That means when you use the link above, it will track any purchases made from that link and give a small portion of it to the Sigma Coding. I love this approach because it allows you to do what you're already doing (shopping) but also helps support the channels you care about. Also, it makes it where I can invest that revenue to help improve and grow the channel. Tags: -------------------------------------------------- #MachineLearning #Python #RandomForest