Scipts for basic python course
Aim of the Following code is
- Basics of Python Language
- Installation steps for Conda and configuring the proxy
- Working with Spyder
- Installing further packges
- Data loading, cleaning, visualizing (Pandas)
- Touch upon Jupyter [If possible]
- Basic of EDA [If possible]
- Other packages | Scikit-learn, Matplotlib, Seaborn [If possible]
For my reference
- Material on TensorFlow, Keras etc
- Notebooks for basic regression, K-Means etc [i.e. Supervised and Unsupervised]
- Notebooks on Feature extraction | Feature preparation
- Notebooks on Model Selection