Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/vaibhavs10/learn-ml
Modified notebooks (single) from kaggle.com/learn with added nuances
https://github.com/vaibhavs10/learn-ml
decision-trees machine-learning pandas random-forest scikit-learn
Last synced: 17 days ago
JSON representation
Modified notebooks (single) from kaggle.com/learn with added nuances
- Host: GitHub
- URL: https://github.com/vaibhavs10/learn-ml
- Owner: Vaibhavs10
- Created: 2018-02-03T16:04:08.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2018-02-04T12:24:30.000Z (almost 7 years ago)
- Last Synced: 2023-08-26T05:22:32.539Z (over 1 year ago)
- Topics: decision-trees, machine-learning, pandas, random-forest, scikit-learn
- Language: Jupyter Notebook
- Size: 190 KB
- Stars: 1
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Learn Machine Learning (Under Development)
## Notebooks
* **learn-ml-1:** Loading data, selecting and filtering, DecisionTreeRegressor, RandomForestRegressor, validation
* **learn-ml-2:** get_dummies (categorical variables), missing value (fillna, dropna, Imputer)## Commit History
* Commit 1: Added End-End pipeline for building a RandomForestRegressor model and testing it
* Commit 2: Added Categorical and Missing value handling to existing pipeline