logistic-regression

100 Days of ML Coding

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

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

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

Python code for common Machine Learning Algorithms

Plain python implementations of basic machine learning algorithms

Text Classification Algorithms: A Survey

A curated list of data mining papers about fraud detection.

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

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

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

Fake News Detection in Python

Fast Best-Subset Selection Library

Source code for my blog post "Getting started with TensorFlow on iOS"

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）

🔥🌟《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!

Learning to create Machine Learning Algorithms

Tool that predicts the outcome of a Dota 2 game using Machine Learning

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。