/mlcode

Praciticing machine learning Techniques. Handling missing/no values, performing EDA, Feature Engineering and various algorithms on different datasets.

Primary LanguageJupyter Notebook

mlcode

Praciticing machine learning Techniques.

Handling missing/no values, performing EDA, Feature Engineering and various algorithms on different datasets.

Prerequisites

I would highly recommend that before the hack night you have some kind of toolchain and development environment already installed and ready. If you have no idea where to start with this, try a combination like:

  • Python
  • scikit-learn / sklearn
  • Pandas
  • NumPy
  • matplotlib
  • seaborn
  • jupyter notebook

Datasets

Here are some datasets which i work during this ml practicing.

Resources