Skip to content

Superb machine learning framework, models, explanation.

Notifications You must be signed in to change notification settings

InstructorZhang/SuperbML

Repository files navigation

SuperbML

An easy-to-understand explanation and demonstration of machine learning (ML) task life-cycle.

Well known models covered:

  • LightGBM
  • XGBoost
  • Sklearn SGD
  • to be added ...

Required packages to install:

  • pip3 install --user numpy pandas wheel joblib
  • pip3 install -U --user sklearn
  • pip3 install --user lightgbm
  • pip3 install --user xgboost

How to run:

  • Prepare your own dataset in csv form.
  • Identify the target column and task type.
  • Read the comments in file runner.py
  • In command line, navigate to this repository's directory, type python3 runner.py

About

Superb machine learning framework, models, explanation.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages