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scikit-learn

scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.

https://github.com/aravindnathan02/credit-card-fraud-detection

This is a Machine Learning project on classifying fraudulent credit card transactions.

classification-model fraud-detection logistic-regression machine-learning python random-forest scikit-learn

Last synced: 25 Jan 2025

https://github.com/macdung123/fake-job-post-detection

This project focuses on detecting fake job posts using machine learning. Fake job advertisements are often created to scam individuals by stealing personal information or money.

classification data-analysis data-science deep-learning job-posting joblib machine-learning matplotlib-pyplot numpy pandas python scikit-learn tf-idf tkinter

Last synced: 25 Jan 2025

https://github.com/samsoumyajitd/food_ai

The AI Food Weather-Based Recommendation System provides personalized food and restaurant suggestions using AI. It uses GenAI and AI techniques like TF-IDF Vectorization, Cosine Similarity, and FuzzyWuzzy for tailored recommendations.

axios cosine-similarity flask flask-cors fuzzywuzzy generative-ai google-generativeai json nlp python-dotenv python3 reactjs scikit-learn sklearn tf-idf vanilla-css weather-api

Last synced: 25 Jan 2025

https://github.com/bjornmelin/ml-algorithm-playground

🧪 Core ML algorithm implementations with GPU acceleration. Featuring optimized implementations across various libraries with comprehensive analysis. 📈

algorithms cuda gpu-computing lightgbm machine-learning python scikit-learn xgboost

Last synced: 25 Jan 2025

https://github.com/hassanislam463/nyc_airbnb_eda

This project is a comprehensive data analysis of Airbnb listings in New York City, exploring pricing trends, seasonality effects, host market dynamics, rental preferences, and revenue estimation. It provides valuable insights for hosts, investors, and policymakers to optimize Airbnb operations and understand the short-term rental landscape in NYC.

exploratory-data-analysis matplotlib python scikit-learn seaborn

Last synced: 25 Jan 2025

https://github.com/1adore1/deadlock-match-tracker-bot

Telegram bot for tracking real-time Deadlock matches of top 250 players. Fetches match data and predicts winners using a machine learning model.

aiogram api deadlock pandas python scikit-learn

Last synced: 25 Jan 2025

https://github.com/yelamankarassay/personal-health-wellness-dashboard

A Streamlit-based dashboard for visualizing and analyzing personal daily data—weight, mood, meals, sleep, and more. This project uses pandas, plotly, matplotlib, seaborn, scikit-learn, and wordcloud to present insights about your health and daily habits.

matplotlib pandas plotly scikit-learn seaborn wordcloud

Last synced: 25 Jan 2025

https://github.com/priyanshul28/ml_classification_eda_parkinsonsdisease

A guided Machine Learning Classification exercise on the Parkinson's Disease dataset demonstrating the use of Logistic Regression, Neural Network Classifiers, Decision Trees, Random Forests and XGBoost algorithms, as well as Data Preprocessing and Exploratory Data Analysis.

classification machine-learning pandas python scikit-learn statistics

Last synced: 25 Jan 2025

https://github.com/darshhv/fraud-detection-system

A machine learning project for detecting fraudulent transactions using Random Forest and XGBoost models, with data preprocessing and model evaluation.

data-preprocessing-and-cleaning fraud-detection-using-machine-learning model-evaluation pandas random-forest scikit-learn xgboost

Last synced: 25 Jan 2025

https://github.com/abhivur/connections-ai---tamu-datathon-2024

Contributors: Meet Gamdha, Gaurav Nimmagadda

bert python scikit-learn

Last synced: 25 Jan 2025

https://github.com/aryar-06/linear-regression

A Python project demonstrating basic linear regression with gradient descent and matrix operations, alongside scikit-learn comparison.

data-analysis data-preprocessing educational-project gradient-descent linear-regression machine-learning python regression-algorithms scikit-learn

Last synced: 25 Jan 2025

https://github.com/avtorgenii/ml-playground

A repository for exploring and experimenting with datasets, building machine learning models, and testing various techniques in data preprocessing, feature engineering, and model evaluation.

matplotlib ml pandas scikit-learn

Last synced: 25 Jan 2025

https://github.com/ki3mono/naive_bayes_classifier

This project implements Naive Bayes Classifiers for two data types: Multinomial Naive Bayes Classifier and Gaussian Naive Bayes Classifier

iris-dataset mushroom-dataset naive-bayes-classifier numpy python scikit-learn

Last synced: 25 Jan 2025

https://github.com/anshvaid4/ml_practice

This is the new repository, where I have added all the notebooks demonstrating the usage of various transformers and models for Supervised and Unsupervised algorithms

anaconda jupyter-notebook machine-learning machine-learning-algorithms python scikit-learn

Last synced: 25 Jan 2025

https://github.com/luliatuccu/weather_analysis

This project highlights a combination of data science techniques and Python programming to explore real-world weather data.

data-preprocessing eda feature-engineering machine-learning matplotlib numpy pandas regex scikit-learn seab seaborn weather weather-patterns

Last synced: 25 Jan 2025

https://github.com/taquynhnga2001/regression-calories-burnt-prediction

Develop regression models which can predict the total calories a person has burnt during a workout based on some biological measures.

machine-learning python regression-analysis scikit-learn

Last synced: 25 Jan 2025

https://github.com/abhivur/graduate-income-forecaster---aggie-data-science-club-2024

Contributors: Abdussalam Raheem, Chiara Su, and Joseph Botros

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 25 Jan 2025

https://github.com/himanshkr03/loan_default_prediction_using_machine_learning

This repository contains a Python-based project that uses machine learning to predict loan defaults. It explores data preprocessing, feature engineering, and model training techniques to build a predictive model for assessing loan risk.

data-science finance loan-default-prediction machine-learning pandas prediction-model python risk-assessment scikit-learn

Last synced: 25 Jan 2025

https://github.com/ranimeshehata/softmax-regression-on-mnist

A PyTorch-based project for classifying the MNIST dataset using Softmax Regression, including training, validation, results and visualization.

matplotlib mnist python3 pytorch scikit-learn softmax-regression torchvision

Last synced: 25 Jan 2025

https://github.com/manishkumarpatel07/heartattack_risk_prediction

"Heart Attack Risk Prediction" uses machine learning to estimate the likelihood of a heart attack based on user-provided data like physical attributes, symptoms, and medical history. This system enables remote screening, identifying high-risk individuals, and easing medical system burdens by providing early, data-driven health risk assessments.

boruta knn-algorithm matplotlib numpy pandas python scikit-learn

Last synced: 25 Jan 2025

https://github.com/ranimeshehata/feed-forward-neural-network-on-mnist

A PyTorch-based project for classifying the MNIST dataset using Feed Forward Neural Networks, including training, validation, results and visualization.

feedforward-neural-network matplotlib mnist python3 pytorch scikit-learn torchvision

Last synced: 25 Jan 2025

https://github.com/usmana5809/quran-recitation-audio-classification

Quran Recitation Audio Classification project aims to classify different recitations of the Quran using machine learning techniques. It involves preprocessing audio data, extracting features, training models, and evaluating their performance

audio-classification classification-model islamic-studies librosa machine-learning python quran scikit-learn

Last synced: 25 Jan 2025

https://github.com/santoshn86/dlp-ev-system-for-pa-optimization

This system is a game-changer, enabling smarter energy management through predictive insights and personalized optimization strategies.

aiml django flask keras pytorch scikit-learn tensorflow typescript

Last synced: 25 Jan 2025

https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation

An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.

clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn

Last synced: 31 Jan 2025

https://github.com/afonsojramos/feup-iart

Projects developed for Artificial Intelligence class.

feup feup-iart iart neural-network python scikit-learn tensorflow

Last synced: 25 Jan 2025

https://github.com/fdauti/sklearn_proj

Data analysis with scikit-learn and other Python libraries

matplotlib pandas scikit-learn seaborn

Last synced: 31 Jan 2025

https://github.com/smaddanki/pattern-pursuit-challenge

A personal challenge to build a production-ready trading signal system for S&P 500 stocks using deep learning. This project progresses from basic ML models to a complete trading infrastructure, focusing on 5-day forward return prediction and signal generation.

deep-learning machine-learning pytorch quantative-trading quantitative-finance quantitative-research scikit-learn

Last synced: 01 Feb 2025

https://github.com/dadvaiahpavan/ai-data-scientist-

AI-powered tool for dataset analysis, featuring data preprocessing, classification, regression, anomaly detection, and text analysis. Built with scikit-learn, pandas, and Plotly for visualization. Includes an interactive Streamlit web interface for real-time data analysis.

ai anomaly-detection classification data-analysis data-science machine-learning panda plotu regression scikit-learn sentiment-analysis streamlit

Last synced: 01 Feb 2025

https://github.com/nahom32/mlp-assignment

This repository is an implementation for machine learning assignment demonstrating the machine learning process.

eda logistic-regression machine-learning scikit-learn

Last synced: 01 Feb 2025

https://github.com/bhaveshbhakta/diabetes-prediction

Note* The hosted website link might take some time to load. Please be patient while the application initializes.

diabetes-prediction flask machine-learning python scikit-learn svm web-development

Last synced: 01 Feb 2025

https://github.com/vijaykumarr1452/startup_success_predictor

This project demonstrates the use of Multiple Linear Regression to predict the profits of startups based on investment in R&D, Administration, and Marketing of dataset (50_Startups.csv)

machine-learning multi-linear-regression numpy pandas python regression rsquare-values scikit-learn

Last synced: 01 Feb 2025

https://github.com/giatraskon/machine_learning_assignments

Machine learning assignments covering regression, classification, neural networks, adversarial examples, and real-time emotion detection using Python. Includes theoretical insights and practical implementations.

adversarial-examples bayesian-inference bias-variance-tradeoff cifar10 classification deep-learning emotion-recognition iris-dataset k-nearest-neighbours keras machine-learning mnist neural-networks opencv pima-indians-diabetes python regression ridge-regression scikit-learn tensorflow

Last synced: 01 Feb 2025

https://github.com/galaxy092/samsung-innovation-campus-big-data-capstone-project

Samsung Innovation Campus Big Data Capstone Project - Weather Prediction

hadoop jupyter-notebook pandas pyspark scikit-learn sparksql

Last synced: 01 Feb 2025

https://github.com/dukebw/ml-model-selection

Machine learning model selection using Dlib and scikit-learn.

dlib machine-learning ranking scikit-learn

Last synced: 01 Feb 2025

https://github.com/gregoritsch3/dl_cv_e2e_potatodiseaseclassification

A guided CodeBasics Deep Learning Project where a Convolutional Model is deployed onto a Website (FastAPI) and Mobile App (React Native, Google Cloud). It's purpose is the classification of potato plant images into "healthy", "Early Blight" and "Late Blight" categories.

cnn-classification gcp model-deployment scikit-learn tensorflow

Last synced: 01 Feb 2025