aikho / awesome-feature-engineering
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
☆589Updated 6 years ago
Alternatives and similar repositories for awesome-feature-engineering:
Users that are interested in awesome-feature-engineering are comparing it to the libraries listed below
- Methods with examples for Feature Selection during Pre-processing in Machine Learning.☆364Updated 4 years ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆412Updated 10 months ago
- Automated feature engineering in Python with Featuretools☆517Updated 6 years ago
- ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xg…☆273Updated 4 years ago
- Codes related to various ML Hackathons☆214Updated 5 years ago
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆327Updated 4 years ago
- Python Feature Engineering Cookbook, published by Packt☆476Updated 2 years ago
- Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course☆657Updated 4 years ago
- My Answer to 120 Data Science Interview Questions☆504Updated 4 years ago
- A compiled list of kaggle competitions and their winning solutions for classification problems.☆270Updated 8 years ago
- A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API☆228Updated 4 years ago
- ☆136Updated 6 years ago
- This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machin…☆267Updated 2 years ago
- Feature Engineering Made Easy, published by Packt☆215Updated 2 years ago
- A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.☆1,538Updated 2 years ago
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆147Updated 8 years ago
- Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).☆805Updated 5 years ago
- Data Science Questions and Answers (General) for beginner☆212Updated 7 years ago
- Notes for machine learning☆219Updated 2 years ago
- Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018☆1,453Updated 4 years ago
- Code repository for the online course Feature Selection for Machine Learning☆318Updated 5 months ago
- Data Science Resources (Mostly Free)☆57Updated 6 years ago
- Codes for Kaggle Competitions☆513Updated 7 years ago
- ☆131Updated 3 years ago
- L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya☆54Updated 5 years ago
- Implementing machine learning algorithms from scratch.☆383Updated 3 years ago
- Demand Forecasting Models for Kaggle competition☆81Updated 6 years ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆676Updated 10 months ago
- Exploratory data analysis 📊using python 🐍of used car 🚘 database taken from ⓚ𝖆𝖌𝖌𝖑𝖊