6348 Open source projects that are alternatives of or similar to Machine Learning With Python

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

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Machine Learning Lectures at the European Space Agency (ESA) in 2018

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

General Assembly's 2015 Data Science course in Washington, DC

Code for Tensorflow Machine Learning Cookbook

simple tutorial on Machine Learning with Scikitlearn

经典机器学习算法的极简实现

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

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

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]

100 Days of ML Coding

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

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

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

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.

Quick-Data-Science-Experiments

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

🔥🌟《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!

Matlab library for gradient descent algorithms: Version 1.0.1

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

machine learning algorithm

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

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

Plain python implementations of basic machine learning algorithms

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

Interactive Visual Machine Learning Demos.

Machine Learning models from scratch with a better visualisation

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

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Text Classification Algorithms: A Survey

machine learning algorithms in Swift

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

Deep Learning From Scratch

Machine Learning Course @ Santa Clara University

🏭 JavaScript Machine Learning Toolkit

文本分类基准测试

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

A New, Interactive Approach to Learning Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

For extensive instructor led learning

An Interactive Approach to Understanding Deep Learning with Keras

A python library for decision tree visualization and model interpretation.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Regression, Scrapers, and Visualization

Heart Disease prediction using 5 algorithms

The R package for SVM with GPU architecture based on the GTSVM software

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…

Misc Statistics and Machine Learning codes in R

No description or website provided.

An introductory statistics course for social scientists, using Stata

Go Scoring API for PMML

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。

A MATLAB toolbox for classifier: Version 1.0.7