logistic-regression
There are 10520 repositories under logistic-regression topic.
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
rasbt/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
greyhatguy007/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
BoltzmannEntropy/interviews.ai
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.
susanli2016/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
BinRoot/TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
zotroneneis/machine_learning_basics
Plain python implementations of basic machine learning algorithms
kk7nc/Text_Classification
Text Classification Algorithms: A Survey
benedekrozemberczki/awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
justmarkham/DAT8
General Assembly's 2015 Data Science course in Washington, DC
nsoojin/coursera-ml-py
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
rust0258/Deeplearning.ai-Natural-Language-Processing-Specialization
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
nishitpatel01/Fake_News_Detection
Fake News Detection in Python
abess-team/abess
Fast Best-Subset Selection Library
hollance/TensorFlow-iOS-Example
Source code for my blog post "Getting started with TensorFlow on iOS"
zhengyima/mnist-classification
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）
Skylark0924/Machine-Learning-is-ALL-You-Need
🔥🌟《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!
srafay/Machine_Learning_A-Z
Learning to create Machine Learning Algorithms
andreiapostoae/dota2-predictor
Tool that predicts the outcome of a Dota 2 game using Machine Learning
primaryobjects/voice-gender
Gender recognition by voice and speech analysis
tsuirak/deeplearning.ai
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。
jayshah19949596/Machine-Learning-Models
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
jxareas/Machine-Learning-Notebooks
The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.
kanyun-inc/ytk-learn
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).
a-martyn/ISL-python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Suji04/ML_from_Scratch
Implementation of basic ML algorithms from scratch in python...
bwaldvogel/liblinear-java
Java version of LIBLINEAR
GavinHacker/recsys_core
[推荐系统] Based on the scoring data set, the recommendation system is built with FM and LR as the core(基于评分数据集，构建以FM和LR为核心的推荐系统).
fukuball/fuku-ml
Simple machine learning library / 簡單易用的機器學習套件
PacktWorkshops/The-Python-Workshop
A New, Interactive Approach to Learning Python
georgymh/ml-fraud-detection
Credit card fraud detection through logistic regression, k-means, and deep learning.
mandeep147/Amazon-Product-Recommender-System
Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html
luopeixiang/textclf
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。
sarnthil/unify-emotion-datasets
A Survey and Experiments on Annotated Corpora for Emotion Classification in Text
arnaldog12/Machine_Learning
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
hiroyuki-kasai/SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20