ashishpatel26 / Amazing-Feature-EngineeringLinks
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
☆731Updated 2 weeks ago
Alternatives and similar repositories for Amazing-Feature-Engineering
Users that are interested in Amazing-Feature-Engineering are comparing it to the libraries listed below
Sorting:
- Python Feature Engineering Cookbook, published by Packt☆481Updated 2 years ago
- A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning☆592Updated 6 years ago
- Data Science Feature Engineering and Selection Tutorials☆285Updated 3 weeks ago
- Code repository for the online course Feature Engineering for Machine Learning☆395Updated last year
- Code repository for the online course Feature Selection for Machine Learning☆323Updated 8 months ago
- Code repository for the online course Machine Learning with Imbalanced Data☆179Updated 7 months 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
- Complete-Life-Cycle-of-a-Data-Science-Project☆617Updated last year
- Interpretable Machine Learning with Python, published by Packt☆466Updated 2 years ago
- Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng☆364Updated 2 years ago
- This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…☆264Updated 2 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆247Updated last year
- Cracking the Data Science Interview☆354Updated 5 years ago
- Code repository for the online course Hyperparameter Optimization for Machine Learning☆124Updated 9 months ago
- This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machin…☆270Updated 2 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆209Updated 2 months ago
- 💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab…☆1,016Updated last year
- Methods with examples for Feature Selection during Pre-processing in Machine Learning.☆364Updated 5 years ago
- I am sharing my Journey of 66DaysofData in Natural Language Processing.☆188Updated last year
- A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.☆1,571Updated 2 years ago
- English translation of the sample code to "Data Analysis Techniques to Win Kaggle" book☆32Updated 4 years ago
- ☆131Updated 3 years ago
- 🔴 1704 Machine Learning, Data Science & Python Interview Questions (ANSWERED) To Kill Your Next ML & DS Interview. Get All Answers + PDF…☆109Updated 2 years ago
- Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook☆599Updated last year
- ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xg…☆276Updated 4 years ago
- Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"☆146Updated 5 years ago
- A list of working examples of Data Science Use Cases and Applications by Industry☆63Updated 5 years ago
- Probably the best curated list of data science books in Python☆412Updated 2 years ago
- Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…☆183Updated 3 years ago
- Code repository for the online course "Feature Engineering for Time Series Forecasting".☆186Updated last year