logistic-regression

100 Days of ML Coding

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

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

Plain python implementations of basic machine learning algorithms

Python code for common Machine Learning Algorithms

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

Text Classification Algorithms: A Survey

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

A curated list of data mining papers about fraud detection.

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

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

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

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

Java version of LIBLINEAR

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

[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).

Gender recognition by voice and speech analysis

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。

Fake News Detection in Python

🔥🌟《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!

A New, Interactive Approach to Learning Python

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

several methods for text classification

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

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

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

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

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

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

🎓 Tidy tools for academics