Ahmet904-beep/computer-vision-parking-lot

This project leverages computer vision techniques to analyze parking lot occupancy. The goal is to detect available parking spaces in real-time using image and video input.

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jeopetto/linearsvc_spam-classification

E-mail classification using LinearSVC algorithm

Language: Python - Size: 1.85 MB - Last synced at: about 14 hours ago - Pushed at: about 15 hours ago - Stars: 0 - Forks: 0

tasninanika/Australian-Credit-Approval-Analysis-SVM

This project uses a Support Vector Machine (SVM) Classifier to predict whether a credit application is approved (1) or denied (0) based on applicant features.

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chawthinn/campus-placement-prediction

This project uses the Kaggle competition dataset from the "ML with Python Course Project" to predict campus recruitment outcomes. It includes preprocessing, EDA, feature engineering, and model training using classification algorithms such as Logistic Regression, Decision Tree, and K-Nearest Neighbors.

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tasninanika/Iris-Species-Prediction-SVM

Support Vector Machine (SVM) is a supervised machine learning algorithm used for classification and regression tasks.

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devsignedbyshreya/SDG_New_article_categorization

Categorization of News Articles Based on the 17 United Nations Sustainable Development Goals (SDGs)

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HvKLeon/text-classification-sentiment-analysis

Text classification of Amazon product reviews as positive or negative

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soheb120/Breast-Cancer-Classification

This repository contains a notebook for classifying breast cancer tumors using neural networks. It covers dataset exploration, model training with TensorFlow and Keras, and performance evaluation. 🩺💻

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jaydenth/Churn-Prediction

This is a School assignment, on churn prediction using scikit learn and traditional ML models

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Twistedfrost/best-of-ml-python

Explore the best machine learning libraries in Python. Stay updated with weekly rankings and contributions. Join the community! 🐙🌟

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SamTseng/Chinese_Humor_MultiLabeled

Human labeled Chinese jokes and their verification codes in Python

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LENGKH/Voice_Classifier

A Python app for classifying voice recordings using KNN and SVM models. Includes a graphical interface for training, evaluating, and classifying audio data with acoustic descriptors. Designed for audio analysis and machine learning experimentation.

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zach10w/IA-Classification-Analysis

This GitHub repository hosts my AI evaluation work, featuring a Kaggle dataset analysis, experiments with three ML algorithms (including hyperparameter tuning), and a detailed exploration of wine quality data through outlier detection, correlation, and normalization techniques.

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neelanshu7/Breast_Cancer_Prediction

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acelyavul/HIGGS_ml_project

HIGGS Boson Classification: Model Comparison Using ROC-AUC

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Okh2891996/speech-emotion-cnn-pca-nmf

Reproducible EE8104 project – cross-corpus speech-emotion recognition on TESS + RAVDESS using MFCC extraction, PCA/NMF compression, and CNN / SVM baselines (91–92 % top accuracy).

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Soumilgit/Datathon_Team-DataP1ac3X.c0m

A redeveloped hackathon bank customer churn prediction Core ML project.

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dmazilkin/ML-SVM

SVM from scratch.

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DeshwalX/diabetes-prediction-svm

My first ML project using SVM to predict diabetes

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JoyM268/sdmcet-aiml

Repository of all the programs taught in AIML Lab at SDMCET, 2025

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heozaeseok/prediction_of_employee_departures

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CrispenGari/ml-2023

💹📉📊📈This repository contains some machine leaning task that I did from the year 2023.

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bongssss/ML-

This project implements and evaluates multiple supervised machine learning models to classify heartbeat signals from ECG (Electrocardiogram) data into arrhythmia types using the MIT-BIH Arrhythmia Dataset.

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NushratJabenAurnima/Autism_Detection_Using_ML

Machine learning project to classify Autism Spectrum Disorder using behavioral and demographic data.

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gaeldatascience/apple-stock-prediction

Predicting whether Apple’s closing price will go up or down on the next trading day by enriching classical time-series features with investor sentiment extracted from StockTwits.

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otuemre/EmailPhishingDetection

A real-time phishing email detection system using Machine Learning (SVM, Logistic Regression, Naive Bayes) with FastAPI backend and custom domain deployment.

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gharib-uk/Predictive-Maintenance-on-NASA-Turbofan-JetEngine

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Doctorado-ML/STree

Oblique Tree classifier based on SVM nodes

Language: Python - Size: 10.6 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 9 - Forks: 1

halacoded/Chess-Opening-Classifier

Train classification models to predict the chess opening based on the first few moves.

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tdattm/wisconsin-breast-cancer-classification

Dự án này sử dụng các thuật toán machine learning bao gồm học có giám sát (KNN, hồi quy Logistic, SVM,...), học không giám sát (PCA, K-means) và các kỹ thuật giảm chiều để phân loại ung thư vú dựa trên bộ dữ liệu Wisconsin. Phù hợp để học tập về khoa học dữ liệu và ứng dụng thực tế trong phân tích dữ liệu y tế..

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Ashbyt/Python

Ashley Bythell - Python

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dshirya/Supervised-ML-tool

Supervised machine learning classification of the binaries compounds

Language: Python - Size: 18.7 MB - Last synced at: 26 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0

Awais-Asghar/Skin-Cancer-Binary-Classifier

A machine learning project for binary classification of skin cancer as malignant or benign, utilizing models like XGBoost, LGBM Classifier, Adaboost, SVM, and Logistic Regression. Features comprehensive data preprocessing, model training, and evaluation for accurate diagnosis.

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sagarprajapat2004/Spam_Ham_Classification

A Data Science&Machine Learning&NLP-powered Flask Web Application that classifies Email/SMS messages as either Spam or Ham (Not Spam).

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mraselm/case-study-estimate-mobile-price

Builds a classification model to predict mobile phone price tiers based on specifications like RAM, screen size, camera quality, and battery power. Ideal for guiding pricing strategy in the mobile market.

Language: R - Size: 448 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

thieu1995/mafese

Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

Language: Python - Size: 4.52 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 77 - Forks: 24

Mahtab-Shabani/Neural-Network-SVM

Language: MATLAB - Size: 17.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

vivekkdagar/fake-news-detector

A Streamlit app for classifying news as Real or Fake using ML models, with metrics and PDF reports.

Language: Python - Size: 161 KB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

prasannaghimiree/Comparision-of-Algorithms-In-Driver-Drowsiness-Detection

Comparision of algorithms in between CNN and SVM for realtime Drowsiness Detection

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samira-yousefzadeh/Python

This repository offers a comprehensive tutorial to help learners grasp the fundamentals of Machine Learning and Pandas. It includes step-by-step guides, practical examples, and code implementations, designed for those looking to build a strong foundation in data analysis and machine learning techniques.

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auralius/AEK3LBB3

SISTEM BIOMEDIKA CERDAS (Intelligent Biomedical Systems / AEK3LBB3)

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KashifMoin1410/Computer-Vision-Traditional-vs.-Deep-Learning-Approaches

This project compares traditional Bag-of-Words with SVM and a custom ResNet-style CNN for image classification on the CIFAR-10 dataset. It covers the full workflow: feature extraction, model building, training, evaluation, and visualization. Results demonstrate the superior accuracy and robustness of deep learning models over classic ML pipelines.

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Hitanshu-Varia/Diabetes_Prediction_using_SVM

Diabetes Prediction

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SherineTarek224/Credit_Score

This repo is for credit score classification based on financial and demographic data. using supervised machine learning algorithms

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DeepraMazumder/Cyberbullying-Detection-and-Analysis-in-Social-Media

ML and DL project to identify and analyze different forms of cyberbullying across social media platforms for automated abuse detection

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raj1603chdry/Fake-News-Detection-System

Fake News Detection System for detecting whether news is fake or not. The model is trained using "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. Link for dataset: https://arxiv.org/abs/1705.00648.

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juniors719/dry_bean_classifier

Dry bean seed classification using ML models

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amineHorseman/facial-expression-recognition-svm

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset

Language: Python - Size: 4.08 MB - Last synced at: 25 days ago - Pushed at: almost 7 years ago - Stars: 173 - Forks: 63

shubh637/Coronavirus-Outbreak-Prediction-using-ML

This project focuses on predicting coronavirus outbreaks using machine learning techniques, specifically Support Vector Machines (SVM). The model analyzes various features related to COVID-19 cases to predict the likelihood of an outbreak in different regions.

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mahnoorsheikh16/NLP-Approach-to-AI-Text-Classification Fork of andrew-jxhn/STT811_StatsProject

A text‐classification pipeline for identifying human‐ versus AI-generated responses using engineered linguistic/semantic features and PCA-reduced vectors; achieves ~85% accuracy with Logistic Regression, SVM, and MLP, and includes a fine-tuned bert-base-uncased model.

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mahnoorsheikh16/Sketchify-A-Quick-Draw-drawing-classifier

Implementation of a sketch‐recognition pipeline inspired by Google’s Quick, Draw!—from raw stroke data to prediction. Includes data preprocessing and feature‐engineering scripts, three Bayesian classifiers alongside Logistic Regression, SVM, K-NN and XGBoost baselines, and an RNN model.

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m0h1t98/Disease-prediction-using-ML

Disease prediction using Machine Learning. This is a classification problem. The objective of this project was to classify the disease based on the symptoms.

Language: Python - Size: 2.4 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 2

hydraharish123/Alzheimer-disease-classification

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Edopramudya/Support-Vector-Machine-SVM-Classification---From-Scratch-Library

implementasi algoritma Support Vector Machine (SVM) untuk klasifikasi data sederhana (berbasis berat dan tinggi badan) ke dalam dua kelas: soccer dan sumo.

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ugyenn-tsheringg/Precision-Spam-Detection-Using-Multinomial-Naive-Bayes

This project implements a machine learning-based spam detection system to classify SMS messages as either spam or ham (non-spam).

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ErikJSchmidt/DSGVO_handler

Project to automatically remove text related to GDPR/DSGVO from HTML when crawling websites.

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Haseeeb21/Machine-Learning-Models

Machine Learning Models trained on Scikit-learn datasets. This repository contains the code files and saved models trained on Toy datasets (Classification & Regression), and Real World dataset.

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raaaouf/Email-Spam-Classifier

a maching learning model to automating the detection of spam in emails

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Neeraj4002/SVM_Fish-Detection

ML app for early prediction Fish disease using Water Quality instead of images

Language: Python - Size: 515 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

narpat78/Image-Classification-using-SVM

An image classifier built using Support Vector Machine (SVM) to distinguish between three categories of images. Deployed via an interactive Streamlit web application.

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fdesjardins/surface-estimation-and-image-relighting

Illumination registration, surface estimation, and physically-based image relighting

Language: Python - Size: 49.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 12 - Forks: 3

Arj1998/Credit_Risk_Assessment_model-

A machine learning project to predict credit risk using Logistic Regression, SVC, and Random Forest, with model tuning via GridSearchCV and evaluation using standard classification metrics.

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masoudshahrian/DataScience

AI Machine learning Deep learning Projects with code

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tejaswirupa/Exploring-Home-Ownership-with-Support-Vector-Machines

Used SVM with various kernels to predict home ownership status based on census data. Identified age, number of bedrooms, and household size as top factors influencing ownership.

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samuelAemro12/MachineLeraning_SchoolProject-

A machine learning school project, completed on Google Colab, Classify Case instances of whether there is a recurrence-case or no-recurrance-case of breast cancer

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ArunabhaPani/Credit_risk_Assesment

A machine learning project to predict credit risk using Logistic Regression, SVC, and Random Forest, with model tuning via GridSearchCV and evaluation using standard classification metrics.

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syeda434am/Suicide-Ideation-Detection

This repository aims to address the critical issue of identifying and understanding suicide ideation in social media conversations, specifically focusing on Twitter data.

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havva-nur-ezginci/ML-Applications

💡This project involves the implementation of machine learning (ML) algorithms 💻🔍on various datasets.

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amazingcoderpro/flight-delay-prediction

2018年全球程序员大赛参赛作品, 在给定的数据基础上,加上自己采集的飞机、天气等影响因子, 利用svm算法预测航班延误率.

Language: Python - Size: 7.2 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 9 - Forks: 4

Aashi2608/Machine-Learning

A collection of machine learning projects, including Wine Quality Prediction, showcasing data preprocessing, model training, and evaluation using Random Forest, SVM, and KNN algorithms.

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reputed-artist/Liver-Disease-Prediction-using-Ensemble-Machine-Learning-Method

Master degree project for liver disease prediction. i have improved the code reaching its accuracy to 98-99% from 70%.

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MUHAMMADAKMAL137/Optuna-based-Hyperparameter-Optimization-for-Machine-Learning-Models-Static-and-Dynamic-Tuning

This Optuna-based hyperparameter optimization study performs both static and dynamic tuning of hyperparameters for machine learning models (SVM, RandomForest, and GradientBoosting) to maximize accuracy. It tracks and analyzes model performance, displays the best trial results, and compares the average performance of each classifier.

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subhas-pramanik-09/MediScan-AI

A smart and scalable ML-powered health prediction system that can help detect the risk of three major diseases: Diabetes + Heart Disease + Parkinsons Disease

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czarekmilek/Music-Genre-Classifier Fork of thammpiotr/Music-Genre-Classifier

Machine Learning project of a music genre classifier.

Language: Python - Size: 2.65 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

catherinewbaker/MusicGenreClassification

This project aims to clarify the role of meta data in music genre classification and how helpful or hurtful it can be to music recommendation systems. Much experimentation was done with multiple different machine learning models and results were analysed and collated into a single academic paper

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akareset/svm-classification

Сlassification using SVM and Rosenblatts perceptrone

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notesparvvaresh/ML-algorithms

Here we have fully implemented a number of algorithms related to machine learning

Language: Python - Size: 392 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 20 - Forks: 1

RubensZimbres/Repo-2017

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Language: Python - Size: 40.4 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 1,191 - Forks: 677

sergioalegre/Python-Machine-Learning-AI-Deep-Learning

Practicas del Grado en Inteligencia Artificial y Machine Learning 2019-2020

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nadhif-royal/wine-svm-classification

This project is part of my coursework for the **Advanced Artificial Intelligence Practicum (Machine Learning)** class. It demonstrates the use of the **Support Vector Machine (SVM)** algorithm to classify wine data, followed by evaluation using several classification metrics.

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maheshvarade/Mobile-Price-Classification-using-ML-SVM-Logistic-Regression-

This project tackles the challenge faced by a new mobile company founded by Prabhat, who wants to compete with tech giants like Apple and Samsung. The goal is to predict the price range of a mobile phone based on its features — not the exact price, but whether it's low, medium, high, or very high cost.

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sAwAiRa-iQbal/Loan-Approval-Prediction-ML

🏦 Loan Approval Prediction: Streamlining finance with ML. Employs Logistic Regression, Naive Bayes, and Random Forest 🌲 to boost decision accuracy.

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keyurr2/face-detection

Face detection implementation with different methods and applications

Language: Python - Size: 10.9 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 33 - Forks: 35

shreyasskrishna/Diagnosis_of_Diabetic_Retinopathy

This project develops an advanced retinal image classification system for early Diabetic Retinopathy detection using ML and DL. It leverages CNN for feature extraction, SVM for classification, and ensemble learning for accuracy. A Gradio-based UI enables real-time diagnostics, ensuring quick and reliable results.

Size: 36 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Sardhendu/Data-Science-Projects

{PySpark, R, Python}: Several Data Science projects

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Nirva-Patel/Multi-Domain-Predictive-Analytics

This project focuses on training and testing machine learning models on multiple datasets to identify the best-performing model. It analyzes model behavior across data types using metrics like accuracy, precision, recall, and F1-score to determine the most effective configuration.

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PURPLEWATER00/STROKE-PREDICTION-PROJECT

DATA SCIENCE PROJECT ON STROKE PREDICTION- deployment link below 👇⬇️

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Coder0202/Cyberus---measuring-risk

Cyberus is a tool that checks the generic and emotive legitimacy of a message and provides an estimate of the risk based on the dataset on which it was trained, as well as certain machine learning models for quantitative risk prediction.

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T4vexx/IA-Classification-Analysis

This GitHub repository hosts my AI evaluation work, featuring a Kaggle dataset analysis, experiments with three ML algorithms (including hyperparameter tuning), and a detailed exploration of wine quality data through outlier detection, correlation, and normalization techniques.

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radicmagda/string-kernels

📰 Text Classification with SVM & String Kernels

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Ad-Chekk/ML_models

This repo includes testing of various machine learning models like Prophet model and evaluating their performance using various metrics like RMSE etc

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ShivaNeuralNet/Customer-Churn-Classifier

Predicting customer retention in an e-commerce platform using classification models. Includes data preprocessing, feature engineering, and model evaluation (Logistic Regression, SVM, Random Forest, KNN, Decision Tree). Best model achieves 83% accuracy and perfect recall. Ideal for business use.

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francomano/SemEval2010-Task8

SemEval2010-Task8 NLP problem solved with 3 approach: rule-based, machine learning and neural networks

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nofaralfasi/Machine-Learning-Divorce-Prediction

A Logistic model for predicting divorce rates among couples, implemented using the sklearn library.

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Kshitij-Karkera/Plant-Disease-Detection-with-React-and-Python

Plant Disease Detection is a web-based app using React for the frontend and Python (FastAPI, PyTorch) for the backend. It employs a ResNet-based model to identify plant diseases from images, offering farmers and researchers real-time, accurate diagnostics for improved crop health management.

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dp-ops/SVC_on_Mnist_n_Cifar-10

Notebook checking classification method using Support Vector Machines

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vignesh1507/AI-Medical-Chatbot

This project is simply a symptom checker and i believe we tried to accomplish that successfully. This project can be scaled more and we are continuously working upon it.

Language: Python - Size: 108 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 3

BlockNotes-4515/Spotify-Music-Recommedation-System

Language: Python - Size: 37.4 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 4 - Forks: 0

qw3rtman/random-feature-maps

Fast Random Kernelized Features: Support Vector Machine Classification for High-Dimensional IDC Dataset

Language: Python - Size: 1.08 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 5

nicholast25/Depression-Diagnostic-Machine-Learning

This project focuses on analyzing and comparing the performance of SVM, Random Forest, and XGBoost in diagnosing depression based on individual data. The evaluation process incorporates Non-Parametric Statistical Testing, Feature Engineering, Resampling, and Hyperparameter Tuning. The project received a grade of 97/100 in Computational Intelligence

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