Plan: To predict prices of stocks based sentiment and previous prices
5 models:
- Linear Regression
- Decision Trees (bagging and boosting)
- Random Forrests
- Support Vector Regressor
- Time Series
Large dataframe with each row being a stock and model. Once you add the information, there will be a column telling you which model agrees and which models don’t agree.
[x] Linear Regression
[x] DT
[] Random Forests
[] Time Series
[] Support Vector Regressor
[] Complete DataFrame