532 Open source projects that are alternatives of or similar to Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM

100 Days of ML Coding

Matlab library for gradient descent algorithms: Version 1.0.1

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

simple tutorial on Machine Learning with Scikitlearn

Heart Disease prediction using 5 algorithms

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Plain python implementations of basic machine learning algorithms

经典机器学习算法的极简实现

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Predicting the winner of 2019 cricket world cup using random forest algorithm

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

Python Clustering Algorithms

Loan Application Data Analysis

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

This is the page for the book Digital Signal Processing with Kernel Methods.

The "Python Machine Learning (1st edition)" book code repository and info resource

Tutorial: Support Vector Machine from scratch using Python3

Implementations of machine learning algorithm by Python 3

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Java Statistical Analysis Tool, a Java library for Machine Learning

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

🏭 JavaScript Machine Learning Toolkit

文本分类基准测试

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

machine learning algorithm

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Python code for common Machine Learning Algorithms

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Learning to create Machine Learning Algorithms

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Information Retrieval in High Dimensional Data (class deliverables)

I will update this repository to learn Machine learning with python with statistics content and materials

Simple machine learning library / 簡單易用的機器學習套件

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

A comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.

Interactive Visual Machine Learning Demos.

Java version of LIBLINEAR

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

A document covering machine learning basics. 🤖📊

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

基于新浪微博数据的情感极性分析

A rehost of the python version of SPArse Modeling Software (SPAMS)

Heart Disease Analysis repository

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Exploring sklearn 🌟

Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

ProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

ugtm: a Python package for Generative Topographic Mapping

a frame of amd-v svm nest