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Pytorch_classification ⭐ 1,055

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Machinelearnjs ⭐ 532

Machine Learning library for the web and Node.

Handson Ml ⭐ 277

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Ml Projects ⭐ 243

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Handwritten Digit Recognition Using Deep Learning ⭐ 158

Handwritten Digit Recognition using Machine Learning and Deep Learning

Compendium Of Free Ml Reading Resources ⭐ 106

Compendium of free ML reading resources

Oasw Concept Drift Detection And Adaptation ⭐ 42

An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.

Cnn Svm Classifier ⭐ 29

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

Ml_segmentation ⭐ 29

Machine learning semantic segmentation - Random Forest, SVM, GBC

Breast Cancer Scikitlearn ⭐ 27

simple tutorial on Machine Learning with Scikitlearn

Machine Learning Models ⭐ 26

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Ml Spam Sms Classification ⭐ 23

Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification

Sentimentanalysis ⭐ 21

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Fault Detection For Predictive Maintenance In Industry 4.0 ⭐ 19

This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.

🏭 JavaScript Machine Learning Toolkit

Speech_emotion_detection ⭐ 18

Speech_Emotion_detection-SVM,RF,DT,MLP

Introduction To Machine Learning ⭐ 17

A document covering machine learning basics. 🤖📊

Wind Power Forecasting ⭐ 16

Wind Power Forecasting using Machine Learning techniques.

Amazon Fine Food Review ⭐ 16

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

Text Classification Benchmark ⭐ 16

文本分类基准测试

Forecast Of Time Series With Stock Data ⭐ 16

Comparative Analysis of Techniques for Forecasting Time Series in Financial Markets

Machine Learning From Scratch ⭐ 12

🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.

Flower Recognition ⭐ 12

Image recognition tool for flower clasification.

Email Spam Detection ⭐ 11

This project focuses on detecting Persian spam emails using machine learning algorithms. The goal is to develop an effective spam detection system using various word embedding techniques and classification algorithms. The project utilizes three word embedding algorithms: TF-IDF, Frequency of Words, and Bag of Words. Additionally, six classification

Mobile Price Prediction Classification Analysis ⭐ 10

Supervised Machine Learning Analysis Using Classification Models

Sentimentanalysis Python Demo ⭐ 10

Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

BioMM: Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data

Sklearn_pytorch ⭐ 8

Transposition in PyTorch to Sklearn models such as Random Forest or SVM

Machinelearning_exercises_python_scikit Learn ⭐ 8

Python＆機械学習ライブラリ scikit-learn の使い方の練習コード集。機械学習の理論解説付き

Machinelearningalgos ⭐ 7

Personal reimplementation of some ML algorithms for learning purposes

Twitter_sentiment_bert_scikit ⭐ 7

Twitter US Airline数据集情感分析（sentiment Analysis），使用Bert Sentence encoding作为特征，实现了SVM、XGBoost、RandomForest（随机森林）若干分类

Machine Learning Rare Event Classification ⭐ 7

With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?

Data Science ⭐ 7

EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost)

Gender Voice Recognition_machine Learning ⭐ 6

Supervised Machine Learning Classification Algorithms using Python and R (Logistic Regression, Decision Tree, Random Forest, SVM)

Onestep Electron Content ⭐ 6

Content for onestep-electron.github.io

Census Income Data Set ⭐ 6

Applying machine learning techniques with R to Census Income data set, a.k.a Adult data set.

This Data Science-like project is aimed on analyzing a bunch of techniques for False Negatives (Frauds classified as Non-Frauds) in a extreme imbalanced dataset - Financial Fraud and improving the predictors performance.

Live Facial Recognition ⭐ 5

Live Facial Recognition

Machine Learning Bootcamp ⭐ 5

A beginner friendly ML course designed by us at Hermes AI Center for everyone with no prior knowledge in computer science concepts.

Machine Learning Practice ⭐ 5

Repository containing introduction to scikit-learn to provide hands-on problem solving experience for all the methods and models learnt in MLT.

Machine_learning_basics ⭐ 5

This is repository about the MachineLaering Basics including all the Machine learning Algorithms

Machine Learning In Python ⭐ 5

My learnings on different algorithms of Machine Learning with Python .

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