Directory contains folders with runnable sample python programs for machine learning algorithms such as projects in classification, regression, natural language processing, unsupervised learning, recommender system, deep learning, flask api, software deployment, spark and python basics.
- First install python3 and libraries. Install the requirements for your project using
pip install -r requirements.txt. - Clone this repository to your computer
- Access files .py inside folders
- Make sure to check the correct path to access the data for each program.
- From the command line, execute:
python example.py, replacing "example.py" with the name of a program.