aikho / awesome-feature-engineeringLinks
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
☆601Updated 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…☆770Updated 7 months ago
- Methods with examples for Feature Selection during Pre-processing in Machine Learning.☆364Updated 5 years ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆423Updated last year
- Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).☆812Updated 6 years ago
- Data Science Questions and Answers (General) for beginner☆222Updated 8 years ago
- Python Feature Engineering Cookbook, published by Packt☆487Updated last week
- COMS W4995 Applied Machine Learning - Spring 19☆303Updated 6 years ago
- ☆132Updated 3 years ago
- A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API☆227Updated 5 years ago
- Automated feature engineering in Python with Featuretools☆518Updated 7 years ago
- How to Win a Data Science Competition: Learn from Top Kagglers☆175Updated 7 years ago
- Getting start with PySpark and MLlib☆300Updated 7 years ago
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆324Updated 5 years ago
- Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course☆658Updated 5 years ago
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆149Updated 9 years ago
- ☆85Updated 8 years ago
- Notes for machine learning☆219Updated 3 years ago
- ☆136Updated 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…☆276Updated 3 years ago
- Codes for Kaggle Competitions☆518Updated 8 years ago
- Machine Learning and Data Analysis Case Studies using Spark.☆72Updated 4 years ago
- Codes related to various ML Hackathons☆211Updated 6 years ago
- A list of resources for our society members who have upcoming interviews!☆95Updated last year
- ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xg…☆291Updated 5 years ago
- testing scikit-learn Isolation Forest☆77Updated 7 years ago
- Project work for Udacity's AB Testing Course☆83Updated 8 years ago
- Data Science Notebook on a Classification Task, using sklearn and Tensorflow.☆697Updated 4 years ago
- Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)☆695Updated 3 weeks ago
- Machine Learning Experiments and Work☆653Updated 2 years ago
- Last Minute Note of Machine learning and Deep learning by Jason Brownlee☆92Updated 6 years ago