PacktPublishing / Feature-Engineering-Made-Easy
Feature Engineering Made Easy, published by Packt
☆214Updated 2 years ago
Alternatives and similar repositories for Feature-Engineering-Made-Easy:
Users that are interested in Feature-Engineering-Made-Easy are comparing it to the libraries listed below
- Ensemble Machine Learning Cookbook, published by Packt☆60Updated 2 years ago
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆327Updated 4 years ago
- Mastering Machine Learning with scikit learn Second Edition, published by Packt☆81Updated 4 years ago
- Automated feature engineering in Python with Featuretools☆517Updated 6 years ago
- Machine learning, Deep Learning, CNN with PyTorch☆80Updated 5 years ago
- ☆136Updated 6 years ago
- Address imbalance classes in machine learning projects.☆65Updated 7 years ago
- PyParis tutorial on machine learning using scikit-learn☆74Updated last year
- COMS W4995 Applied Machine Learning - Spring 19☆301Updated 5 years ago
- Notes for machine learning☆219Updated 2 years ago
- Project work for Udacity's AB Testing Course☆82Updated 7 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- Hands-On Automated Machine Learning, published by Packt☆70Updated 2 years ago
- Python Deep Learning Cookbook, published by Packt☆139Updated 2 years ago
- Tools for WoE Transformation mostly used in ScoreCard Model for credit rating☆255Updated 5 years ago
- Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition☆31Updated 6 years ago
- A practical feature engineering handbook☆323Updated 4 years ago
- 2nd Place Solution 💰🥈☆163Updated 2 years ago
- Getting start with PySpark and MLlib☆297Updated 6 years ago
- Materials for an online-course - "Practical XGBoost in Python"☆220Updated 8 years ago
- Super-Machine-Learning-Revision-Notes☆75Updated 5 years ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated 2 years ago
- This repo has moved to https://github.com/INRIA/scikit-learn-mooc/☆42Updated 4 years ago
- Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma☆123Updated 7 years ago
- Features selector based on the self selected-algorithm, loss function and validation method☆679Updated 5 years ago
- ☆11Updated 5 years ago
- My solution to Web Traffic Predictions competition on Kaggle.☆153Updated 6 years ago
- ☆23Updated 4 years ago
- Elo Merchant Category Recommendation 21th solution☆21Updated 6 years ago