287 Open source projects that are alternatives of or similar to ML-Coursera

machine learning algorithm

Code for Tensorflow Machine Learning Cookbook

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。

Python code for common Machine Learning Algorithms

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。

100 Days of ML Coding

吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

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

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

Regression, Scrapers, and Visualization

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

Matlab library for gradient descent algorithms: Version 1.0.1

NLP Specialization (Natural Language Processing) made by deeplearning.ai

Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles

www.coursera.org/professional-certificates/ibm-data-science

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。

simple tutorial on Machine Learning with Scikitlearn

My learning notes on Coursera deep learning Specialization.

Fast Best-Subset Selection Library

Solve many kinds of least-squares and matrix-recovery problems

A learned index structure

Coursera clone

Keith Devlin's Introduction to Mathematical Thinking course on Coursera (2017 Spring)

MATLAB assignments in Coursera's Machine Learning course

The missing SVM-based text classification module implementing HanLP's interface

quizzes/assignments for mathematics for machine learning specialization on coursera

Demo of basic machine learning models in python with Jupter Notebook

Hyperspectral image Target Detection based on Sparse Representation

Basics of Musical Instruments Classification using Machine Learning

📈 Useful notes and personal collections on statistics.

Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.

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

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

My solution to Data Structures and Algorithms Specialization (Algorithmic Toolbox; Data Structures; Algorithms on Graphs; Algorithms on Strings; Advanced Algorithms and Complexity; Genome Assembly Programming Challenge)

Implementation of the paper "No Reference Image Quality Assessment in the Spatial Domain" by A Mittal et al. in OpenCV (using both C++ and Python)

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

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

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

ICDSS Machine Learning Workshop Series: Linear Models

Padestrian Detection in images using HOG Vector

MATLAB implementation of a basic HOG + SVM pedestrian detector.

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

Predict housing prices in Portland, Oregon for selling or buying house

Applied Data Science with Python Specialization: Course 4 (University of Michigan)

经典机器学习算法的极简实现

Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching

Courses by University of Pennsylvania via Coursera

Repository for the Big Data Specialization from University of California San Diego on Coursera

Machine Learning Course @ Santa Clara University

Android application which uses feature extraction algorithms and machine learning (SVM) to recognise and translate static sign language gestures.

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Variational Bayes linear and logistic regression

🏆 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.

Is This a Joke? Humor Detection in Spanish Tweets

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

practice on CIFAR10 with Keras

Problem Set and Programming Assignment Solutions to Stanford University's Algorithms Specialization on Coursera & edX

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

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

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales