690 Open source projects that are alternatives of or similar to Statistical-Learning-using-R

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

Plain python implementations of basic machine learning algorithms

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

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

Matlab library for gradient descent algorithms: Version 1.0.1

🏆 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.

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

Learning to create Machine Learning Algorithms

Machine Learning models from scratch with a better visualisation

Python code for common Machine Learning Algorithms

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

A repository of resources for understanding the concepts of machine learning/deep learning.

机器学习-Coursera-吴恩达- python+Matlab代码实现

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

Heart Disease prediction using 5 algorithms

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!

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

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

Python Library for Model Interpretation/Explanations

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

Implementations of machine learning algorithm by Python 3

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

My GitHub blog: things you might be interested, and probably not...

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Python Clustering Algorithms

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

simple tutorial on Machine Learning with Scikitlearn

Statistical Models with Regularization in Pure Julia

An Interactive Approach to Understanding Deep Learning with Keras

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

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…

This repository contains notes and projects of Data scientist track from dataquest course work.

Building Decision Trees From Scratch In Python

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Python implementation of Andrew Ng's ML course projects

Age classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum

bitcoin prediction algorithms

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

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

An intuitive implementation of spectral clustering on matlab

Examples of using Neptune to keep track of your experiments (maintenance only).

基于机器学习和OCR的车牌识别系统 @fujunhao

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

anomaly detection with anomalize and Google Trends data

A Data science challenge - "Mekktronix Sales Forecasting" organised by ZS through Hackerearth platform. Rank: 223 out of 4743.

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

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

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

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

A high performance implementation of HDBSCAN clustering.

A day to day plan for this challenge. Covers both theoritical and practical aspects

Machine Learning University: Decision Trees and Ensemble Methods

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

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

100 Days of ML Coding

A fast xgboost feature selection algorithm