433 Open source projects that are alternatives of or similar to models-by-example

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

A repository for recording the machine learning code

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

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

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

Python code for common Machine Learning Algorithms

Matlab library for gradient descent algorithms: Version 1.0.1

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

A workshop on using generalized additive models and the mgcv package.

经典机器学习算法的极简实现

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

GPstuff - Gaussian process models for Bayesian analysis

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]

Machine Learning Course @ Santa Clara University

A PureScript, browser-based implementation of simple linear regression.

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

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

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

R Package: Regularized Principal Component Analysis for Spatial Data

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

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

⭐️ Univariate Linear Regression with Gradient Descent in JavaScript (Vectorized)

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

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

A New, Interactive Approach to Learning Python

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

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

Lesson material on data science and machine learning topics/concepts

Variational Bayes linear and logistic regression

机器学习-Coursera-吴恩达- python+Matlab代码实现

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

Fast and Easy Infinite Neural Networks in Python

Plain python implementations of basic machine learning algorithms

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

Tracking, notes and programming snippets while learning predictive analytics

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

A set of machine learning experiments in Clojure

100 Days of ML Coding

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。

Multiple Regression Package for PHP

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

machine learning algorithm

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

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

Python implementation of Andrew Ng's ML course projects

Interactive Visual Machine Learning Demos.

A MATLAB toolbox for classifier: Version 1.0.7

David Mackay's book review and problem solvings and own python codes, mathematica files

An introductory statistics course for social scientists, using Stata

Quick-Data-Science-Experiments

Animated Visualizations of Popular Machine Learning Algorithms

Deep Learning From Scratch

The sample question for Interview a job in Binary options

Slides and notebooks for my tutorial at PyData London 2018

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…

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

Migrated to: https://gitlab.com/Oslandia/osm-data-classification

zAnalysis是基于Pascal语言编写的大型统计学开源库