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Machine Learning Specialization Coursera ⭐ 2,082

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Text_classification ⭐ 1,621

Text Classification Algorithms: A Survey

General Assembly's 2015 Data Science course in Washington, DC

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!

Fuku Ml ⭐ 278

Simple machine learning library / 簡單易用的機器學習套件

Machine_learning ⭐ 183

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

经典机器学习算法的极简实现

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

Coursera Machine Learning Specialization ⭐ 120

2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments

Mlwithpytorch ⭐ 107

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

A repository for recording the machine learning code

Stock Return Prediction Using Knn Svm Guassian Process Adaboost Tree Regression And Qda ⭐ 85

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

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.

Click Through Rate Prediction ⭐ 60

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

25daysinmachinelearning ⭐ 48

I will update this repository to learn Machine learning with python with statistics content and materials

The Deep Learning With Keras Workshop ⭐ 40

An Interactive Approach to Understanding Deep Learning with Keras

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.

Machine_learing_algo_python ⭐ 21

implement the machine learning algorithms by python for studying

Machine Learning library for python

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)

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

Statistical Learning Using R ⭐ 16

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Machine_learning_from_scratch ⭐ 15

Machine Learning models from scratch with a better visualisation

Supervised Machine Learning ⭐ 15

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using Lasso and Ridge regressions.

Machine Learning Using Python ⭐ 15

Regression, Classification and Clustering

Signal Processing Toolkit, including ML models with visualization

Predicting Baseball Statistics ⭐ 14

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Ibm Final Project Machine Learning ⭐ 14

Final project of IBM's course https://www.coursera.org/learn/machine-learning-wi on coursera

Quick Data Science Experiments 2017 ⭐ 14

Quick-Data-Science-Experiments

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

Forecasting Weather Using Machine Learning ⭐ 11

Forcasting Weather Using Multinomial Logistic Regression, Decision Tree, Naïve Bayes Multinomial, and Support Vector Machine

Deep Learning Algorithms Implementation ⭐ 11

Implementations of (Deep Learning + Machine Learning) Algorithms

Classicml ⭐ 10

简单易用的经典机器学习框架

Projects ⭐ 10

This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.

Default Of Credit Card Clients Dataset Analisys ⭐ 9

Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.

Nhanes R Programming ⭐ 9

This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc

In Depth Ml ⭐ 9

In depth machine learning resources

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

Iris_classification ⭐ 8

Iris classification with Python Scikit-learn 🌼

Machine_learning ⭐ 8

Best collection of machine learning & deep learning algorithms implemented from scratch using python.

Artificial Intelligence Course Projects S2023 ⭐ 7

AI course projects for problems like searching such as BFS, IDS and A*, genetic algorithms, Minimax tree, Naive bayes for classification, Machine Learning algorithms for anticipating price of houses and a Neural Networks by different approaches(from scratch, pytorch, keras)

Coursera Ml ⭐ 7

💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.

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)

Machine Learning Rare Event Classification ⭐ 7

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

high performance statistic machine learning libraries in C++ [based on Armadillo-9.300]

Coursera Uw Machine Learning Classification ⭐ 6

Notebook for quick search

Clarusway_machine_learning_course ⭐ 6

This repository contains the Machine Learning lessons I took from the Clarusway Bootcamp between 10 Aug - 14 Sep 2022 and includes 17 sessions, 5 labs, 4 case studies, 5 weekly agendas, and 3 projects.

Onestep Electron Content ⭐ 6

Content for onestep-electron.github.io

🐍 algorithm for machine learning

Gender Voice Recognition_machine Learning ⭐ 6

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

Creditanalytics Loan Prediction ⭐ 6

A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors

Data Analysis On Hospital Readmission Data ⭐ 5

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

Ml_from_scratch ⭐ 5

ML Algorithms from Scratch

Mobile Phones Price Prediction ⭐ 5

A set of different models, that can be used to predict price range of a mobile phone.

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