Implementation of GWO and i-GWO with Python 3.9

A collection of the state-of-the-art MEta-heuristics ALgorithms in PYthon (mealpy)

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

GPT-3: Language Models are Few-Shot Learners

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

Feature selection with deep neural networks

To implement Feature selection, Dimensionality Reduction and use these features in Principal Component Analysis, Independent Component Analysis and Random Component Analysis for K Means, Expected M…

Embedded L1 Numerical FS with One Hot Encoding

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

A library implementing different string similarity and distance measures using Python.

Data sets and scripts for Coursera Big Data Specialization.

Ipython notebooks for math and finance tutorials

Deep neural network classifier that uses auto-encoders for feature selection. The primary objective is to evaluate the performance difference between regular classification models with topic modeli…

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

ML Online Course Repository. Course videos on online.codingblocks.com

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...

Deep Learning Illustrated (2019)

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

xverse (XuniVerse) is collection of transformers for feature engineering and feature selection

clustering, regression, classification, deep learning, neural networks, exploratory data analysis, feature selection

Coding an End-To-End Demonstration [Feature Selection Techniques]

📚 A practical approach to machine learning to enable everyone to learn, explore and build.

Data science and Big Data with Python

Using machine learning algorithms to detect and identify malicious URLs