6921 Open source projects that are alternatives of or similar to Isl Python

Python code for common Machine Learning Algorithms

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

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

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

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

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

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。

Heart Disease prediction using 5 algorithms

经典机器学习算法的极简实现

A New, Interactive Approach to Learning Python

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

Plain python implementations of basic machine learning algorithms

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

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

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.

Machine Learning Course @ Santa Clara University

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

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

Deep Learning From Scratch

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

Quick-Data-Science-Experiments

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

Interactive Visual Machine Learning Demos.

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…

A Python package to build predictive linear and logistic regression models focused on performance and interpretation

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

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

zAnalysis是基于Pascal语言编写的大型统计学开源库

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

Sentiment Analysis & Topic Modeling with Amazon Reviews

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]

Variational Bayes linear and logistic regression

机器学习-Coursera-吴恩达- python+Matlab代码实现

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

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

Six snippets of code that made deep learning what it is today.

Regression, Scrapers, and Visualization

simple tutorial on Machine Learning with Scikitlearn

A python library for decision tree visualization and model interpretation.

100-Days-Of-ML-Code中文版

Collection of notebooks about quantitative finance, with interactive python code.

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

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

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

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Code for Tensorflow Machine Learning Cookbook

Stock Price Prediction using Machine Learning Techniques

gesture recognition toolkit

🏭 JavaScript Machine Learning Toolkit

文本分类基准测试

Tracking, notes and programming snippets while learning predictive analytics

100 Days of ML Coding

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

A set of machine learning experiments in Clojure

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).

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

A curated list of data mining papers about fraud detection.

📈 Regression and Classification with UC Davis student quiz data and exam data