Plain python implementations of basic machine learning algorithms
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Updated
Jun 27, 2024 - Jupyter Notebook
Plain python implementations of basic machine learning algorithms
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Text Classification Algorithms: A Survey
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Absolute balanced kdtree for fast kNN search.
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
A simply budget app that predicts where the expenses are being made
Heart Disease prediction using 5 algorithms
Exploring the connections between artworks with deep "Visual Analogies"
Interactive K-Nearest Neighbors machine learning algorithm in JavaScript.
🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.
TiMBL implements several memory-based learning algorithms.
A brief summary of various algorithms. Each algorithm provides examples written in Python, Ruby and GoLang.
A repository for a machine learning project about developing a hybrid movie recommender system.
Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.
Data Science Massive Open Online Course: All the code, notes and supplementary materials generated during the course of my data scientific learning.
Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018
Classification is the process of predicting the class of given data points. Classes are sometimes called as targets/ labels or categories.
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