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26 search results found

100 Days Of Ml Code ⭐ 42,417

100 Days of ML Coding

Text_classification ⭐ 1,621

Text Classification Algorithms: A Survey

Machine Learning Is All You Need ⭐ 337

🔥🌟《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!

Machine_learning_a Z ⭐ 130

Learning to create Machine Learning Algorithms

Ds_and_ml_projects ⭐ 110

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Mlwithpytorch ⭐ 107

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

Machine Learning Models ⭐ 81

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

Top 10 Machine Learning Methods With R ⭐ 61

Includes top ten must know machine learning methods with R.

Airline Passenger Satisfaction ⭐ 21

Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.

Ml Notebook ⭐ 19

Karma of Humans is AI

Fudanuniversity Datamining ⭐ 18

2020 Spring Fudan University Data Mining Course HW by prof. Zhu Xuening. 复旦大学大数据学院2020年春季课程-数据挖掘（DATA620007）包含数据挖掘算法模型：Line Regression Model、Logistic Regression Model、Linear Discriminant Analysis、K-Nearest Neighbour、Naive Bayes Classifier、Decision Tree Model、AdaBoost、Gradient Boosting Decision Tree(GBDT)、XGBoost、Random Forest Model、Support Vector Machine、Principal Component Analysis(PCA)

Machine_learning_from_scratch ⭐ 15

Machine Learning models from scratch with a better visualisation

Ml Cliff Notes ⭐ 13

Machine Learning Cliff Notes

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

Classicml ⭐ 10

简单易用的经典机器学习框架

Ml Advanced Classifiers ⭐ 9

👾 𝗠𝗟 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗲𝗿𝘀 𝗮𝗻𝗱 𝘀𝗼𝘂𝗿𝗰𝗲 𝗰𝗼𝗱𝗲 𝗳𝗿𝗼𝗺 𝗺𝘆 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝘁 𝗦𝘁𝗼𝗻𝘆 𝗕𝗿𝗼𝗼𝗸

Application that predicts the number of stars that of a Yelp Review in realtime as a reviewer types it. Runs as a microservice-based application using Node.js, Python, and Docker. Displays results from Google Natural Language API and a custom trained classification models.

Iris Classifiers ⭐ 8

Iris classification project with @Neelesh7544

Iris_classification ⭐ 8

Iris classification with Python Scikit-learn 🌼

Machine Learning ⭐ 7

Assignments of Machine Learning Graduate Course - Spring 2021

Machine Learning And Deep Learning ⭐ 6

A repository comprising the algorithms of Machine Learning implemented on tensorflow 2 with keras and many other special machine learning libraries.

Enron_fraud ⭐ 6

Build a model to predict employees involved in Enron fraud case based on email & financial data set. Use feature selection & engineering, algorithm selection, & model selection based on F1 score, precision, & recall.

Data Analysis On Hospital Readmission Data ⭐ 5

Analysis on hospital readmission data for diabetic patients using R and Tableau

Understand and Run Naive Bayes Algorithm on Dry Beans dataset

Telecom Churn Prediction ⭐ 5

Telecom Churn Prediction using Machine Learning models

Stat333_project_2 ⭐ 5

Madison restaurant Yelp rating prediction based on review text

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