287 Open source projects that are alternatives of or similar to coursera-ml-py-sj

Hand Written course notes of Deep Learning Specialization by Andrew NG on Coursera

Machine Learning Course @ Santa Clara University

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

سورس کد وب سایت یادگیری ماشین دانشگاه استنفورد به فارسی برای مشارکت

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

Python code for common Machine Learning Algorithms

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

Python toolbox for transfer learning.

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

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

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…

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

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

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Main component extraction for outlier detection

A Survey and Experiments on Annotated Corpora for Emotion Classification in Text

Code for reproducing f-AnoGAN in Pytorch

🎓 Tidy tools for academics

A Python library for anomaly detection

Credit card fraud detection through logistic regression, k-means, and deep learning.

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.

Learning to create Machine Learning Algorithms

The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks

✌️ 👌 ✊ 📷 Sign Language Recognition using Python

Text Classification Algorithms: A Survey

This is the code for the paper nemed 'Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation'

A scikit-learn compatible library for anomaly detection

A repository for recording the machine learning code

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。

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

🔥🌟《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!

Heart Disease prediction using 5 algorithms

Collection of stats, modeling, and data science tools in Python and R.

A fun study of some heuristics for the Travelling Salesman Problem.

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

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

A Ground Mobile Robot Perception Dataset, IEEE RA-L & IEEE T-CYB

A New, Interactive Approach to Learning Python

Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)

machine learning algorithm

A sentiment classifier on mixed language (and mixed script) reviews in Tamil, Malayalam and English

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

Multiple Regression Package for PHP

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

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TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

The Kubervisor allow you to control which pods should receive traffic or not based on anomaly detection.It is a new kind of health check system.

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

Python implementation of Andrew Ng's ML course projects

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

Andrew Ng's ML course

Gender recognition by voice and speech analysis

Deep Learning From Scratch

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

some anomaly detection models and experiments.

[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).

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

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

Fake News Detection in Python