There are 31 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
Text Classification Algorithms: A Survey
General Assembly's 2015 Data Science course in Washington, DC
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"
Tool that predicts the outcome of a Dota 2 game using Machine Learning
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).
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。
[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).
Fake News Detection in Python
Gender recognition by voice and speech analysis
🔥🌟《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
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)
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
Learning to create Machine Learning Algorithms
A Survey and Experiments on Annotated Corpora for Emotion Classification in Text
텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
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。
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
several methods for text classification
Collection of stats, modeling, and data science tools in Python and R.
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
🎓 Tidy tools for academics