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100 Days of ML Coding
Created
2018-07-05
109 commits to master branch, last one 4 years ago
The "Python Machine Learning (1st edition)" book code repository and info resource
Created
2015-08-07
534 commits to master branch, last one 2 years ago
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...
Created
2021-09-30
70 commits to main branch, last one 2 years ago
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Created
2016-03-06
110 commits to master branch, last one 4 years ago
Python code for common Machine Learning Algorithms
Created
2017-05-26
211 commits to master branch, last one 2 years ago
Plain python implementations of basic machine learning algorithms
Created
2018-02-19
137 commits to master branch, last one 4 months ago
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
mooc
python
coursera
andrew-ng
solutions
tensorflow
deep-learning
decision-trees
neural-network
machine-learning
linear-regression
coursera-assignment
logistic-regression
recommendation-system
unsupervised-learning
coursera-specialization
andrew-ng-machine-learning
supervised-machine-learning
unsupervised-machine-learning
Created
2022-06-16
145 commits to main branch, last one about a month ago
Text Classification Algorithms: A Survey
deep-learning
random-forest
decision-trees
text-processing
rocchio-algorithm
boosting-algorithms
deep-belief-network
deep-neural-network
logistic-regression
text-classification
k-nearest-neighbours
nlp-machine-learning
naive-bayes-classifier
document-classification
support-vector-machines
dimensionality-reduction
conditional-random-fields
recurrent-neural-networks
convolutional-neural-networks
hierarchical-attention-networks
Created
2018-07-06
230 commits to master branch, last one about a month ago
A curated list of data mining papers about fraud detection.
churn
classifier
data-mining
data-science
deep-learning
fraud-checker
random-forest
classification
credit-scoring
fraud-explorer
fraud-detection
link-prediction
fraud-management
fraud-prevention
credit-card-fraud
gradient-boosting
logistic-regression
graph-classification
credit-card-validation
credit-card-fraud-detection
Created
2019-05-27
175 commits to master branch, last one 8 months ago
General Assembly's 2015 Data Science course in Washington, DC
Created
2015-08-07
119 commits to master branch, last one 8 years ago
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
Created
2017-03-21
13 commits to master branch, last one 4 years ago
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...
Created
2020-06-17
131 commits to master branch, last one 3 years ago
Fake News Detection in Python
Created
2017-11-18
158 commits to master branch, last one 2 years ago
Fast Best-Subset Selection Library
r
python
scikit-learn
cox-regression
machine-learning
feature-selection
linear-regression
multitask-learning
ordinal-regression
poisson-regression
logistic-regression
polynomial-algorithm
best-subset-selection
high-dimensional-data
classification-algorithm
sure-independence-screening
principal-component-analysis
robust-principal-component-analysis
sparse-principal-component-analysis
Created
2020-12-20
2,762 commits to master branch, last one 2 months ago
🔥🌟《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!
Created
2020-04-02
130 commits to master branch, last one about a year ago
Learning to create Machine Learning Algorithms
kernel-svm
datascience
dataprocessing
k-means-clustering
k-nearest-neighbors
logistic-regression
machine-learning-az
multiple-regression
polynomial-regression
naive-bayes-classifier
support-vector-machine
random-forest-regressor
decision-tree-classifier
decision-tree-regression
random-forest-classifier
simple-linear-regression
support-vector-regression
classification-algorithims
machine-learning-algorithms
k-means-implementation-in-python
Created
2017-08-22
32 commits to master branch, last one 3 years ago
Tool that predicts the outcome of a Dota 2 game using Machine Learning
Created
2017-06-19
96 commits to master branch, last one 5 years ago
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。
Created
2020-07-01
69 commits to master branch, last one 3 years ago
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 Mac...
Created
2017-05-17
102 commits to master branch, last one 5 years ago
Gender recognition by voice and speech analysis
Created
2016-06-09
88 commits to master branch, last one about a year ago
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Created
2018-10-31
56 commits to master branch, last one 4 months ago
Java version of LIBLINEAR
Created
2008-10-20
336 commits to main branch, last one 2 years ago
[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).
Created
2019-01-30
23 commits to master branch, last one 2 years ago
Implementation of basic ML algorithms from scratch in python...
Created
2019-03-11
36 commits to master branch, last one 3 years ago
Simple machine learning library / 簡單易用的機器學習套件
Created
2016-01-15
235 commits to master branch, last one 6 years ago
A New, Interactive Approach to Learning Python
Created
2019-10-08
205 commits to master branch, last one about a year ago
The full collection of Jupyter Notebook labs from Andrew Ng's new Machine Learning Specialization.
Created
2022-08-11
5 commits to master branch, last one 2 years ago
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。
Created
2019-03-24
18 commits to master branch, last one 2 years ago
2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
Created
2021-12-24
127 commits to main branch, last one about a year ago
A Survey and Experiments on Annotated Corpora for Emotion Classification in Text
Created
2018-06-26
49 commits to master branch, last one 2 years ago