An open API service providing repository metadata for many open source software ecosystems.

Topic: "classification-models"

aml4td/website

Website sources for Applied Machine Learning for Tabular Data

Language: TeX - Size: 754 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 136 - Forks: 12

dirkhovy/text_analysis_for_social_science

Code for the CUP Elements on text analysis in Python for social scientists

Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 136 - Forks: 31

brian-j-smith/MachineShop

MachineShop: R package of models and tools for machine learning

Language: R - Size: 13.9 MB - Last synced at: about 22 hours ago - Pushed at: 8 months ago - Stars: 62 - Forks: 9

heliphix/btc_data

This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 45 - Forks: 29

yupidevs/pactus

Framework to evaluate Trajectory Classification Algorithms

Language: Python - Size: 1.17 MB - Last synced at: 7 days ago - Pushed at: 9 months ago - Stars: 43 - Forks: 0

UTS-CASLab/hyperbox-brain

A scikit-learn compatible hyperbox-based machine learning library in Python

Language: Python - Size: 8.45 MB - Last synced at: 9 days ago - Pushed at: 3 months ago - Stars: 33 - Forks: 2

lucastsutsui/EmbML

A tool to support using classification models in low-power and microcontroller-based embedded systems.

Language: Python - Size: 178 KB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 17 - Forks: 1

thieu1995/IntelELM

IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine

Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 16 - Forks: 4

RicardoMoya/Data_Science_Introduction_With_Python

En este proyecto de GitHhub podrás encontrar parte del material que utilizo para impartir las clases de Introducción a la Ciencia de Datos (Data Science) con Python.

Language: Jupyter Notebook - Size: 29.4 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 8

AiCorsair/Dataquest-Data-Science-Analysis-Projects

A repository dedicated to storing guided projects completed while learning data science concepts with Dataquest.

Language: Jupyter Notebook - Size: 74 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 11 - Forks: 3

thieu1995/MetaPerceptron

MetaPerceptron: A Standardized Framework For Metaheuristic-Driven Multi-layer Perceptron Optimization

Language: Python - Size: 287 KB - Last synced at: 10 days ago - Pushed at: 2 months ago - Stars: 10 - Forks: 1

cereniyim/Data-Science-Projects

Repository for several data science and analysis projects

Size: 97.1 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 10 - Forks: 7

BlueBrain/morphoclass

Neuronal morphology preparation and classification using Machine Learning.

Language: Python - Size: 1.53 MB - Last synced at: 19 days ago - Pushed at: 10 months ago - Stars: 9 - Forks: 4

SayamAlt/Water-Quality-Prediction

Successfully established a machine learning model which can predict whether any given water sample is potable or not, based on its set of various properties, to a considerably high level of accuracy.

Language: Jupyter Notebook - Size: 7 MB - Last synced at: 20 days ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 2

imharshag/Data-Mining-Models-weka

This aims to explore different data mining techniques, such as classification, regression, clustering, and association rule mining, using datasets available in Weka.

Size: 82 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 6 - Forks: 0

pyladiesams/classification-bias-beginner-apr2021

Basics of classification and bias

Size: 4.66 MB - Last synced at: 2 days ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 2

aadimangla/Predicting-product-sales-through-ads

In simpler words we tell whether a user on Social Networking site after clicking the ad’s displayed on the website,end’s up buying the product or not. This could be really helpful for the company selling the product. Lets say that its a car company which has paid the social networking site(For simplicity we’ll assume its Facebook from now on)to display ads of its newly launched car.Now since the company relies heavily on the success of its newly launched car it would leave no stone unturned while trying to advertise the car. Well then whats better than advertising it on the most popular platform right now.But what if we only advertise it to the correct crowd.

Language: Python - Size: 12.7 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 1

Mohanty-Hitesh-4495/Indian-Script-Classification

A repository housing a CNN model for text recognition, implemented in Python with TensorFlow and OpenCV.

Language: Jupyter Notebook - Size: 127 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 5 - Forks: 0

wandalistathea/analisis_sentimen_tokopedia

Sentiment analysis of Tokopedia app users on Google PlayStore using the Support Vector Machine (SVM) method

Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 1

ahmedshahriar/Customer-Churn-Prediction

Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.

Language: HTML - Size: 3.48 MB - Last synced at: 13 days ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 3

NourKamaly/AirlineTicketPricePrediction

First rank winner in the Machine Learning Course Competition for class 2021-2022. Airline ticket price prediction from end to end (analysis - preprocessing - modeling - testing - deployment - documentation) between Indian cities

Language: Jupyter Notebook - Size: 231 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 4

VeeLeeKoh/Stop-and-Frisk-Data-Analysis

Application of data analytics and machine learning to classify if an individual stopped by the police in New York City will be frisked, based on the circumstances of the stop and features of the individual suspect.

Language: Jupyter Notebook - Size: 350 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 1

YenLinWu/Daily_Work_of_Data_Science

資料科學的日常研究議題

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 3 - Forks: 1

Mohit6304/Parkinsons-Disease-Detection

A machine learning-based web app for detecting Parkinson's disease from voice recordings. The app extracts key voice features, applies pre-trained models, and provides real-time predictions of Parkinson's likelihood. Built using Streamlit, Librosa, and scikit-learn.

Language: Jupyter Notebook - Size: 1.74 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 1

bioinfoUQAM/Caribou

Alignment-free bacterial identification and classification in metagenomics sequencing data using machine learning

Language: Python - Size: 9.82 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 1

chentyra/jetracer-CollisionAvoidance

Collision Avoidance Strategies with Jetracer Pro AI Kit.

Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: 13 days ago - Pushed at: 10 months ago - Stars: 3 - Forks: 1

sinanw/ml-classification-malicious-network-traffic

This project aims to analyze and classify a real network traffic dataset to detect malicious/benign traffic records. It compares and tunes the performance of several Machine Learning algorithms to maintain the highest accuracy and lowest False Positive/Negative rates.

Language: Jupyter Notebook - Size: 3.11 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 3 - Forks: 1

deborabmfreitas/projeto-churn-classificacao

Projeto de predição de churn utilizando algoritmos de classificação. Ao final do projeto, foi entregue um modelo de machine learning que consegue prever o churn dos clientes futuros e, também, foi dada uma lista com os atuais clientes que estão em maior risco de churn.

Language: Jupyter Notebook - Size: 3.85 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

janhavi-giri/Analysis-Online-Shopping-Behavior

Data science project conducting complete analysis of online shopping behavior

Language: Jupyter Notebook - Size: 4.25 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

Jspano95/Retail-Customer-Classification-Modelling

Classification ML models for predicting customer outcomes (namely, whether they're likely to opt into email / catalog marketing) depending on customer demographics (age, proximity to store, gender, customer loyalty duration) as well as sales and shopping frequencies by department

Language: Jupyter Notebook - Size: 813 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

leo-cavalcante/airline-passenger-satisfaction

Airline Marketing Study: prediction of customer satisfaction and customer clustering using sklearn libraries.

Language: Jupyter Notebook - Size: 22.1 MB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 1

svaniksharma/RelevanceVectorMachine.jl

An implementation of a relevance vector machine, a sparse Bayesian version of a SVM

Language: Julia - Size: 251 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 2 - Forks: 0

daspartho/DistillClassifier

Easily generate synthetic data for classification tasks using LLMs

Language: Python - Size: 1020 KB - Last synced at: 19 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

rixsilverith/mlmodelling

Experimental machine learning library that provides readable yet efficient implementations of fundamental ML models, written using NumPy.

Language: Python - Size: 162 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

xaviernogueira/Tabular_ML

Tabular machine learning simplified!

Language: Python - Size: 39 MB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

akshayjain777/CS584-Machine-Learning-Course-Work

My Masters Coursework on Machine Learning

Language: Jupyter Notebook - Size: 997 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

MouadEttali/From-scratch-machine-learning---From-mathematical-formulas-to-functioning-algorithms

Implementation of machine learning algorithms from their basic mathematical fundamentals to their code counterparts.

Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

ayushs2k1/Image-Classification

Language: Jupyter Notebook - Size: 10 MB - Last synced at: 29 days ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

anastazijaverovic/Machine_Learning_Algorithms_R

The repository contains exercises on Machine Learning algorithms in R, using RStudio. Used to dive into ML, data preprocessing, data visualisation, and data exploration.

Language: R - Size: 1.25 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2

arjunsingh88/Big-Data-Pyspark

The goal was to perform predictive maintenance on commercial turbofan engine. The approach used here is a data-driven approach, meaning that data collected from the operational jet engine is used to perform predictive maintenance modeling. To be specific, to build a predictive model to estimate the Remaining Useful Life ( RUL) of a jet engine based on run-to-failure data of a fleet of similar jet engines. Supervised learning(Regression and Classification models) models were adapted and customized to fit our problem.

Language: HTML - Size: 18.3 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 1

arkapatra31/ML

Learning and Implementation of my Machine Learning Journey

Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0

harshvardhansgupta/Fraud_Call_Detection

A Kivy-based app for detecting fraudulent calls using machine learning. Features Google Speech-to-Text integration, Logistic Regression with 98.6% accuracy, and Android compatibility via Buildozer.

Language: Jupyter Notebook - Size: 496 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Ansuman21/KNN_vs_SVM_for_Optimal_Predictions

Data Science Project (Classification via KNN & SVM M8)

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

OrHostezky/winning-space-race-with-data-science

An end-to-end data science project, completed as the capstone project for the IBM Data Science Professional Certificate program (course 10), including code notebooks, a dashboard application, and a summary presentation (in the making)

Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

denpalrius/sports_action_recognition

A comparative study of ViViT, CNN-GRU sequence models for video action recognition using the UCF101 dataset

Language: Jupyter Notebook - Size: 117 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

NouranHaitham/ML_WaterQuality

A notebook aimed at predicting and improving water safety by analyzing contaminants and pollution levels in water sources, enhancing public health and ensuring access to clean drinking water.

Language: Jupyter Notebook - Size: 4.81 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 1 - Forks: 1

jhylin/ML2-1_decision_tree

Machine learning series 2.1 on decision tree

Language: Jupyter Notebook - Size: 754 KB - Last synced at: 29 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

larenwell/ds-ml-pycaret-latam-airlines-challenge

Repository where it is intended to address the challenge of LATAM Airlines, which consists of predicting the probability of delay of flights that land or take off from the Santiago de Chile airport (SCL)

Language: Jupyter Notebook - Size: 19.4 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

MGRedex/NLP_disaster_tweets

Models for disaster tweets classification

Language: Python - Size: 257 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

meer-khan/Machine-Learning-Algorithms

This repo is all about my Machine Learning Journey

Language: Jupyter Notebook - Size: 763 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

gtrane/Medical-News-of-2022-Topic-Modeling-Clustering-and-Classification

Utilized Jupyter Notebooks to scrape over 8,500 articles from a medical news site and applied clustering, LDA topic modeling, and classification techniques to find similar news topics and predict article sentiment

Language: HTML - Size: 1.81 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

miguelfbianchi/Praticas_Data_Science

Práticas desenvolvidas durante o curso "Cientista de Dados Iniciante", da Mentorama

Language: Jupyter Notebook - Size: 5.45 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

adamparkosidis/NLP-Yelp-Reviews

Natural Language Processing model to classify Yelp Reviews into 1 star or 5 star categories based off the text content in the reviews

Language: Jupyter Notebook - Size: 3.4 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

itsliamdowd/Airplane-Boat-Car

Quick image classification model designed to tell the difference between an airplane, boat, or a car that was trained on hundreds of images!

Language: Python - Size: 1.91 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Shazam-19/loan-status-classifier

A model to classify loan status using ML Classification algorithms.

Language: Jupyter Notebook - Size: 71.3 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

mmsaki/credit-risks-ml

Using the imbalanced-learn and Scikit-learn libraries to build and evaluate machine learning models.

Language: Jupyter Notebook - Size: 9.02 MB - Last synced at: 15 days ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Fjeanneret/multiSight

:bar_chart: :clipboard: Bioconductor R package with Graphical Interface to handle multi-omic data by Classification, Enrichment and Network inference.

Language: R - Size: 3.64 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1

vishishtpriyadarshi/imbcobra

COBRA for Classification tasks on Imbalanced Data

Language: Python - Size: 1.82 MB - Last synced at: 6 days ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

sn1411/Credit_card_fraud_detection

This project aims to build classification models which can be used by financial institutions to detect fraud credit card transactions

Language: Jupyter Notebook - Size: 146 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

jorgedcferreira/knn-R

knn made from scratch with R

Language: R - Size: 227 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

carlostomeh/Predict_Marketing_Campaign_Success

Goal: Develop Machine Learning aplication in a distributed environment using AWS services with Spark.

Language: Jupyter Notebook - Size: 469 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

bsiegelwax/Standard-Deviation-MNIST

"Quantum-Inspired MNIST" achieved 72% accuracy using nothing but means, addition, and subtraction. This experiment adds standard deviations.

Language: Jupyter Notebook - Size: 98.6 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

amanda-park/easytidymodels

An R package that simplifies running machine learning algorithms using the tidymodels framework. Includes classification and regression models.

Language: R - Size: 264 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

hayriyeanill/ChessGameWinnerPrediction

Classification with Feature Selection and Extraction Methods

Language: Python - Size: 2.64 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

crushedmonster/GA_Projects

General Assembly Data Science Projects

Language: Jupyter Notebook - Size: 55.4 MB - Last synced at: 17 days ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

omarr-gamal/IBM-Machine-Learning-with-Python-Course

Machine learning example code in topics such classification, clustering and recommender systems in different techniques and approaches.

Language: Python - Size: 3.73 MB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

jesussantana/Supervised-Classification

Let’s practice and become familiar with classification algorithms.

Language: Jupyter Notebook - Size: 31.1 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

janhavi-giri/Predictive-Analysis-Ecommerce

Data Science Project using predictive modeling for online shopping portal data streams

Language: Jupyter Notebook - Size: 4.04 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

emuell/AFEC-Classifiers

Audio sample datasets and Tensorflow experiments for AFEC's classifiers

Language: Python - Size: 38.1 KB - Last synced at: 5 days ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

camerongridley/UnemploymentMentalHealth

Uses machine learning classification models predict unemployment based on mental health data.

Language: Jupyter Notebook - Size: 17.4 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

Mananp96/Machine-Learning-Models

The project is based on datasets from various sectors namely finance, health, industrial, crime, education, social media, biology, product and multimedia from the UCI repository and Kaggle. Trained and evaluated 8 classification methods across 10 classification datasets, 7 regression methods across 10 regression datasets and 2 classification methods (Convolutional Neural Network and Decision Tree Classifier).

Language: Jupyter Notebook - Size: 39.3 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

dmuiruri/woltorders

This project is an analysis of order data from Wolt - a food deliver platform

Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

abhipaiangle/Intelligent_Agent_AbhishekPaiAngle

Seasons of Code 2020 Project

Language: Jupyter Notebook - Size: 2.44 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

stivenramireza/machine-learning-models

Regression, classification, clustering and recommender systems models.

Language: Jupyter Notebook - Size: 285 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

yitistica/classifier_evaluator

evaluators for classification models

Language: Python - Size: 266 KB - Last synced at: 11 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

michael-eble/nlp-dataset-health-german-language

Provides "social media"-like natural language data for training health-related classification models in German language

Size: 75.2 KB - Last synced at: 9 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

Athul64/Student-Depression-ML

The Student Depression Dataset is designed to analyze and predict depression levels among students based on various academic, demographic, and lifestyle features.

Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

netlabufjf/nwdaf_ml Fork of oliveiraleo/mnc_NWDAF

ML functionality based on NWDAF for the classification of 5G devices based on their traffic

Language: Python - Size: 33 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

94muhammad/Data-Science

Solutions to real world machine learning problems

Language: Jupyter Notebook - Size: 4.78 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

Asingh-2430/Precipitation-Forecasting-Model

A machine learning project in R to forecast rainfall using multiple classification algorithms and performance comparison.

Language: R - Size: 2.88 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

XAheli/DeepLense_ML4SCI-GSoC25

Implementation of ML4SCI evaluation tasks for GSoC 2025, featuring deep learning approaches for gravitational lensing analysis including multi-class classification, lens finding with class imbalance and generative models for synthetic lensing image creation.

Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: 12 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

ArchitJ6/CancerGuardian

CancerGuardian is a machine learning-powered web app that helps predict breast cancer diagnoses based on cytology measurements. 🩺✨ Built with Streamlit, Scikit-Learn, and Plotly, this tool visualizes tumor characteristics and provides predictions using a trained model. 🚀

Language: Python - Size: 62.5 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

otuemre/FraudDetectAI

FraudDetectAI is an advanced credit card fraud detection system built with XGBoost and Hybrid SMOTE Sampling (Oversampling + Undersampling). This project tackles highly imbalanced datasets, ensuring strong fraud detection accuracy while minimizing overfitting risks.

Language: Jupyter Notebook - Size: 5.4 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

avanigupta06/HealthMate-AI

Language: Jupyter Notebook - Size: 165 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Monish-Nallagondalla/Universal-Bank

Credit Card Ownership Prediction A machine learning project that predicts credit card ownership using features like age and income, balancing class distributions for improved accuracy.

Language: Jupyter Notebook - Size: 87.9 KB - Last synced at: 16 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

rociobenitez/AI-ML-DataScience-Bootcamp

Curso práctico de Machine Learning y Ciencia de Datos

Language: Jupyter Notebook - Size: 109 MB - Last synced at: 17 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

KunalParkhade/service-desk-ticket-classification

Service Desk Ticket Classifier is an intelligent system that uses a Convolutional Neural Network (CNN) to classify service desk tickets into predefined categories and automatically route them to the appropriate departments via email. This streamlines customer service processes, improves response time, and enhances operational efficiency.

Language: Python - Size: 5.2 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ilayoeli/Deep-Learning-Graphical-Models

Repository containing projects and assignments from 'Introduction to Graphical Models and Deep Learning' Course taken at BGU

Language: Jupyter Notebook - Size: 36.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

najmaelboutaheri/Land-Use-Scene-Classification

The project shows the process of data loading, preprocessing, model training, and evaluation for classifying land use scenes using various machine learning or deep learning techniques, specifically Convolutional Neural Networks (CNN).

Language: Jupyter Notebook - Size: 25 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Blacksujit/ML-Projects

This repository contains My all Machine learning Projects which are implemeted and also i have aplied the core machine learning concepts to understand the ML algorithms thourghly through project based Learning

Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: 29 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

ParthDS02/Rain-Prediction-in-Australia-Implementing-and-Evaluating-Multiple-Classification-Models

This project focuses on predicting rainfall in Australia using various classification models. It involves exploring and preprocessing the dataset, training multiple machine learning models, and evaluating their performance. The goal is to identify the best model for accurate rain prediction.

Language: Jupyter Notebook - Size: 354 KB - Last synced at: 19 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

dita-deb/NeuralNetworks-MachineLearning_Labs

Compilation of all files and projects from Neural Networks and Machine Learning -Anindita

Language: Jupyter Notebook - Size: 54.7 MB - Last synced at: 23 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

ashkanans/Review-Classifier

A modular Python project for classifying text reviews using regression, binary classification, and multi-class classification models.

Language: Python - Size: 24.4 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

galois1915/IBM-Machine-Learning

This program consists of courses that provide you with a solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning.

Language: Jupyter Notebook - Size: 46.2 MB - Last synced at: 3 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

manish506/Loan-Approval-Prediction

Explore predictive modeling in this project by applying classification techniques to a loan approval dataset. Analyze and preprocess the data, then use models like K-Nearest Neighbors, Random Forest, SVC, and Logistic Regression to predict loan outcomes. Gain insights into approval factors and enhance prediction accuracy.

Language: Jupyter Notebook - Size: 108 KB - Last synced at: 16 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

ericyoc/hnn_attack_two_diff_defense_choices_poc

Hybrid neural network model is protected against adversarial attacks using either adversarial training or randomization defense techniques

Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

LauraBresson/machine_learning

Machine Learning projects (image classification, predictive modelling)

Language: Python - Size: 496 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

damianstone/ML-algorithms

From data preprocessing to deep learning

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ganirban004/heart-disease-project-makaut

In this project, we try to find a good model to predict heart disease.

Language: R - Size: 1.43 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Related Topics
machine-learning 107 regression-models 61 python 55 data-science 37 logistic-regression 27 classification 23 machine-learning-algorithms 22 scikit-learn 16 pandas 15 supervised-learning 15 deep-learning 15 neural-networks 15 data-analysis 15 sklearn 14 random-forest-classifier 14 jupyter-notebook 14 numpy 13 data-visualization 13 decision-tree-classifier 13 random-forest 11 predictive-modeling 10 exploratory-data-analysis 10 feature-engineering 10 knn-classification 10 linear-regression 10 r 8 svm-classifier 8 hyperparameter-tuning 7 classification-algorithm 7 decision-trees 7 clustering 7 natural-language-processing 7 matplotlib 7 python3 6 classification-model 6 clustering-models 6 xgboost-classifier 5 data-mining 5 prediction 5 data-preprocessing 5 regression 5 nlp-machine-learning 5 svm 4 nlp 4 classification-algorithims 4 feature-selection 4 gridsearchcv 4 knn-classifier 4 decision-tree-regression 4 time-series 4 xgboost 4 tensorflow 4 cross-validation 4 unsupervised-learning 4 supervised-machine-learning 4 data-analytics 4 knn 4 data-cleaning 4 fraud-detection 4 dataset 4 sql 4 ml 4 kaggle 4 convolutional-neural-networks 3 machine-learning-models 3 powerbi 3 evaluation-metrics 3 sentiment-analysis 3 support-vector-classifier 3 streamlit 3 precision-recall-curve 3 pyspark 3 sklearn-library 3 artificial-intelligence 3 text-classification 3 cluster-analysis 3 hyperparameter-optimization 3 keras-tensorflow 3 predictive-analytics 3 flask 3 dimensionality-reduction 3 machine-learning-practice 3 naive-bayes-classifier 3 seaborn 3 ensemble-classifier 3 dbscan-clustering 3 imbalanced-data 3 kmeans-clustering 3 support-vector-machine 3 statistics 3 topic-modeling 3 preprocessing 3 keras 3 ai 3 ensemble-learning 3 matplotlib-pyplot 3 pandas-python 2 deployment 2 vectorization 2 customer-segmentation 2