There are 35 repositories under logistic-regression topic.
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.
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.
Plain python implementations of basic machine learning algorithms
Python code for common Machine Learning Algorithms
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Text Classification Algorithms: A Survey
General Assembly's 2015 Data Science course in Washington, DC
A curated list of data mining papers about fraud detection.
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
Source code for my blog post "Getting started with TensorFlow on iOS"
Fast Best-Subset Selection Library
🔥🌟《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!
Tool that predicts the outcome of a Dota 2 game using Machine Learning
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)
Learning to create 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。
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).
Gender recognition by voice and speech analysis
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
[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).
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
A New, Interactive Approach to Learning Python
Implementation of basic ML algorithms from scratch in python...
Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html
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。
A Survey and Experiments on Annotated Corpora for Emotion Classification in Text
2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Collection of stats, modeling, and data science tools in Python and R.
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20