ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
1. Include More Features
Added the calculation of new features like Moving Averages (MA7, MA14, MA21), RSI, MACD, percentage changes, and volatility measures.
2. Feature Engineering
Added calculations for percentage changes and volatility measures, and forward-filled NaN values.
4. Update LSTM Model Input Shape
Updated the LSTM model input shape to match the new number of features.
5. Fix DataFrame Concatenation
Replaced append with pd.concat to concatenate DataFrames.
Hi @Niketkumardheeryan , Please assign labels GSSOC and level 2 to this PR else it wont update in Leader board as mentioned in latest GSSOC guidelines.
The changes made to the code:
1. Include More Features Added the calculation of new features like Moving Averages (MA7, MA14, MA21), RSI, MACD, percentage changes, and volatility measures.
2. Feature Engineering Added calculations for percentage changes and volatility measures, and forward-filled NaN values.
4. Update LSTM Model Input Shape Updated the LSTM model input shape to match the new number of features.
5. Fix DataFrame Concatenation Replaced append with pd.concat to concatenate DataFrames.