aikho / awesome-feature-engineeringLinks
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
☆600Updated 7 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
Sorting:
- Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features…☆761Updated 6 months ago
- Methods with examples for Feature Selection during Pre-processing in Machine Learning.☆363Updated 5 years ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆424Updated last year
- Python Feature Engineering Cookbook, published by Packt☆486Updated last month
- Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).☆813Updated 5 years ago
- Data Science Questions and Answers (General) for beginner☆222Updated 8 years ago
- ☆136Updated 7 years ago
- Project work for Udacity's AB Testing Course☆83Updated 8 years ago
- Automated feature engineering in Python with Featuretools☆519Updated 6 years ago
- Getting start with PySpark and MLlib☆300Updated 7 years ago
- This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machin…☆273Updated 3 years ago
- A compiled list of kaggle competitions and their winning solutions for classification problems.☆273Updated 9 years ago
- Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course☆659Updated 5 years ago
- How to Win a Data Science Competition: Learn from Top Kagglers☆175Updated 7 years ago
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆324Updated 5 years ago
- ☆85Updated 8 years ago
- My Answer to 120 Data Science Interview Questions☆503Updated 5 years ago
- Notes for machine learning☆219Updated 3 years ago
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆150Updated 9 years ago
- A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API☆227Updated 4 years ago
- Codes for Kaggle Competitions☆517Updated 8 years ago
- Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms☆637Updated 2 years ago
- ☆131Updated 3 years ago
- Machine Learning Experiments and Work☆652Updated 2 years ago
- ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xg…☆290Updated 5 years ago
- Applying Data Science and Machine Learning to Solve Real World Business Problems☆404Updated 5 years ago
- A list of resources for our society members who have upcoming interviews!☆95Updated 11 months ago
- Created the contents of this repo originally for a workshop I gave at UCLA☆111Updated 6 years ago
- L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya☆55Updated 6 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆303Updated 6 years ago