Practice and tutorial-style notebooks covering wide variety of machine learning techniques
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Updated
May 22, 2023 - Jupyter Notebook
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Plain python implementations of basic machine learning algorithms
Text Classification Algorithms: A Survey
🎨 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.
🔥🌟《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!
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.
Heart Disease prediction using 5 algorithms
Absolute balanced kdtree for fast kNN search.
This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.
This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques and Multi-Layer Perceptron.
Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018
A brief summary of various algorithms. Each algorithm provides examples written in Python, Ruby and GoLang.
Classification is the process of predicting the class of given data points. Classes are sometimes called as targets/ labels or categories.
Exploring the connections between artworks with deep "Visual Analogies"
🏆 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.
A repository for a machine learning project about developing a hybrid movie recommender system.
Data Science Massive Open Online Course: All the code, notes and supplementary materials generated during the course of my data scientific learning.
A simply budget app that predicts where the expenses are being made
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