/Predicting-Daily-Stock-Returns-with-Machine-Learning-models

My first Machine Learning project

Primary LanguageJupyter Notebook

Predicting-Daily-Stock-Returns-with-Different-Machine-Learning-Models

My first Machine Learning project

I will timely update my progress

I use Jupyter notebook as a tool for the project

Language - Python

Libraries: numpy, pandas, matplotlib, sklearn (for the ML algorithms)

Process:

  1. Start with reading the data. You can check out the file (Code for downloading stock prices data.ipynb) in this repository where I have the code for extracting the data from Yahoo to csv.
  2. Data cleaning - I will need to check my data for some problems before I proceed with the main task in the project - check for null values. Check for missing values. Check for values type and so on.
  3. Visualizing data

to be continued... :)