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An open API service indexing awesome lists of open source software.

scikit-learn

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

https://github.com/codecraft-sanju/medvisionai-medical-image-ai-vision.

MedVisionAI is an AI-powered platform that analyzes ultrasound images to detect PCOS and provide actionable recommendations. Using CNN-based deep learning and generative AI, it ensures fast, accurate diagnosis, reduces errors, and supports clinicians with instant insights all while maintaining patient privacy and compliance.

deep-learning fastapi gemini-api genai keras-tensorflow machine-learning matplotlib python react scikit-learn seaborn tailwindcss tensorflow

Last synced: 07 Sep 2025

https://github.com/cesar312/python-data-science-toolbox

A collection of useful data science tools and techniques

data-science jupyter-notebook pandas python scikit-learn statistics visualization

Last synced: 13 Apr 2026

https://github.com/nurulashraf/telco-customer-churn-prediction-model

This repository contains a Telco Customer Churn Prediction project using machine learning. It includes data preprocessing, exploratory data analysis, feature engineering, and model development to predict customer churn. Key tools used are Python, Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn.

churn-prediction classification-model customer-churn data-visualization exploratory-data-analysis machine-learning predictive-analytics python scikit-learn

Last synced: 16 Mar 2025

https://github.com/yanne0800/lung_cancer_prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

algorithm classification cnn decision-tree-classifier decision-trees deep-learning gradientboosting keras lung-cancer medical-image-processing navies-bayes-classifer neuralnetworks python scikit-learn

Last synced: 05 May 2026

https://github.com/okerx/spotifymoods

A simple ML model to classify Spotify tracks using audio features.

machine-learning pandas python scikit-learn

Last synced: 09 May 2026

https://github.com/lingumd/cryptocurrencies

Unsupervised machine learning models used to group the cryptocurrencies to help prepare for a new investment.

concatenate elbow-curves get-dummies hvplot jupyterlab kmeans matplotlib-pyplot minmaxscaler pandas path pca-analysis plotly-express scikit-learn unsupervised-machine-learning

Last synced: 13 Apr 2026

https://github.com/sasank-sasi/subtheme-sentiment-analysis-for-review

"Comprehensive Subtheme Sentiment Analysis of Customer Reviews Using Advanced NLP Techniques"

matplotlib natural-language-processing nltk plotly python scikit-learn spacy vader-sentiment-analysis

Last synced: 05 Feb 2026

https://github.com/subratamondal1/heart-attack-prediction

Heart Attack Prediction of patients based on the required data. Data Ingestion - Data Preparation - Exploratory Data Analysis (EDA) - Modelling - Evaluation.

data-analysis data-science data-visualization kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python3 scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/abhipatel35/svm-hyperparameter-optimization-for-breast-cancer

Utilizing SVM for breast cancer classification, this project compares model performance before and after hyperparameter tuning using GridSearchCV. Evaluation metrics like classification report showcase the effectiveness of the optimized model.

breast-cancer cancer-diagnosis classification data-analysis data-science gridsearchcv healthcare hyperparameter-tuning jupyter-notebook machine-learning medical-imaging pycharm python scikit-learn support-vector-machine svm

Last synced: 05 Feb 2026

https://github.com/javi-cc/python-ml-portcanto

Portcanto és un projecte de simulació d'un trajecte en bicicleta. S'ha definit 4 tipus de ciclistes que es diferencien en el temps que tarda a fer el trajecte. L'objectiu és descobrir els 4 patrons amb l'algoritme de clustering KMeans.

clustering docker docker-compose kmeans machine-learning mlfow pydoc pylint python scikit-learn testing venv

Last synced: 13 Apr 2026

https://github.com/18mahi/digital_cave

An intermediate-level deep learning project that compares Convolutional Neural Networks (CNN) and Multi-Layer Perceptrons (MLP) on the MNIST handwritten digits dataset. This project demonstrates data augmentation, learning rate scheduling, and visual comparison of model performance

cnn confusion-matrix data-augmentation data-science deep-learning evaluation-metrics jupyter-notebook keras learning-rate-scheduler machine-learning matplotlib mlp numpy python3 scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/pranavsp108/time-series-forcasting

A time-series forecasting project to predict hourly energy consumption using Python, Pandas, and an XGBoost regression model.

data-analysis data-science energy-consumption forecasting matplotlib numpy pandas python scikit-learn sustainability time-series xgboost

Last synced: 10 Apr 2026

https://github.com/ahmadbuilds/fake-news-classifier

Classifies news articles as real or fake using an NLP pipeline with TF-IDF + n-grams and machine learning models. Includes text preprocessing, feature engineering, model training, and evaluation.

fastapi logistic-regression matplotlib n-grams nextjs nltk numpy pandas python3 random-forest-classifier react scikit-learn seaborn supervised-learning tf-idf typescript xgboost-classifier

Last synced: 11 Apr 2026

https://github.com/pranavsp108/financial-fraud-detection

A comprehensive machine learning project for detecting financial fraud using XGBoost and LightGBM, with a focus on advanced feature engineering, class imbalance handling, and hyperparameter tuning.

classification-model data-science feature-engineering fraud-detection hyperparameter-tuning lightgbm machine-learning pandas python scikit-learn xgboost

Last synced: 04 May 2026

https://github.com/imehranasgari/mlflow_starter

This project is a hands-on guide to the complete end-to-end MLflow workflow, designed as an educational resource. It demonstrates how MLflow is used in practice for experiment tracking, model versioning, and ensuring a reproducible MLOps lifecycle, focusing on the methodology and best practices rather than high model accuracy.

data-science experiment-tracking mlflow mlops model-registry python scikit-learn

Last synced: 11 May 2026

https://github.com/njorogepaul-moghul/house-price-predictions-kaggle-competition-

Built a predictive model for the Kaggle House Prices competition using feature engineering and LightGBM, achieving strong leaderboard performance."

data-science house-price-prediction-with-lightgbm kaggle-competition lightgbm machine-learning predicting-home-values-using-machine-learning random-forest scikit-learn

Last synced: 15 May 2026

https://github.com/kostadinlambov/time-series-forecasting

This project evaluates the predictive performance of a CNN-LSTM Hybrid deep learning model for Bitcoin price movement prediction.

keras-tensorflow matplotlib-pyplot mlflow numpy optuna pandas python scikit-learn seaborn statsmodels ta-lib tensorflow

Last synced: 07 Apr 2026

https://github.com/nihanthbhargav/time-series-stock-market

This project combines computer vision and NLP by segmenting pet images with a U-Net model and generating captions using CNN-RNN/LSTM. Using the Oxford-IIIT Pets dataset, it demonstrates a unified pipeline that integrates pixel-level segmentation with automatic caption generation for meaningful image understanding.

matplotlib numpy pandas plotly python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/inesruizblach/data-science-project

A data science project exploring Portuguese "Vinho Verde" wine quality prediction. Features EDA, feature engineering, ML models, and evaluation using Python, pandas, scikit-learn, and visualization tools.

binary-classification classification data-science exploratory-data-analysis feature-engineering imbalanced-learn jupyter-notebook machine-learning model-evaluation pandas regression scikit-learn seaborn uci-dataset wine-quality

Last synced: 09 May 2026

https://github.com/kianaabrisham/naive-bayes-sentiment

Sentiment classification using Multinomial NB (scratch + sklearn)

bag-of-words naive-bayes nlp scikit-learn sentiment-analysis text-classification

Last synced: 14 May 2026

https://github.com/scorchinghot/core-machine-learning-exploration

This repository provides a hands-on exploration of classical machine learning algorithms applied to the MovieLens 100k dataset, aiming to build intuition and understanding of core ML concepts.

core-ml data-science hands-on machine-learning ml-algorithms python scikit-learn tutorial

Last synced: 05 Oct 2025

https://github.com/josepablodmg/python--linear-regression---housing-exercise

A predictive analysis exploring the relationship between household characteristics and median income in California. Using linear regression, the project investigates whether blocks with fewer households correspond to higher median incomes.

california data-analysis data-science exploratory-data-analysis housing-data linear-regression machine-learning python regression scikit-learn statistics visualization

Last synced: 05 Oct 2025

https://github.com/vivekky57/car-price-prediction

Now you can get Car Price with this wonderful end-to-end project.

flask machine-learning machine-learning-algorithms python python3 random-forest-classifier scikit-learn

Last synced: 13 Apr 2026

https://github.com/dearabhin/girlfriend-predictor

Using machine learning to solve the ultimate college classification problem. A fun project applying Python and Logistic Regression to predict relationship outcomes based on a (hilariously) synthetic dataset. 📊❤️

classification data-science fun-project google-colab jyputer-notebook jypyternotebook logistic-regression machine-learning pandas python scikit-learn

Last synced: 06 Oct 2025

https://github.com/muellerconstantin/house-prices

Data analysis about house prices in Ames (Iowa) with advanced regression techniques.

dvc jupyter-notebook python python3 scikit-learn

Last synced: 14 Apr 2026

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

Machine learning model selection using Dlib and scikit-learn.

dlib machine-learning ranking scikit-learn

Last synced: 07 Oct 2025

https://github.com/jyablonski/nba_elt_mlflow

ML Pipeline for NBA ELT Project

python scikit-learn

Last synced: 17 Jan 2026

https://github.com/r-gg/ml-37

Amazon Reviews ~ Sentiment analysis evaluation: fine-tuned BERT vs LSTM. (+ Extensive Data Mining & Visualization)

bert deep-learning ipynb-jupyter-notebook lstm machine-learning python scikit-learn uni-project

Last synced: 05 Feb 2026

https://github.com/pragati928/cancer-severity-prediction-ml

📊 End-to-end data science project predicting cancer severity using Python, EDA, and Random Forests — focusing on lifestyle and genetic factors.

data-analysis-python data-science-projects eda machine-learning pandas-python random-forest scikit-learn visualizations

Last synced: 08 Oct 2025

https://github.com/workwithchaimaa/codealpha_diseaseprediction

Complete ML pipeline for binary classification to predict heart disease. Includes data preprocessing, model comparison (Logistic Regression, RF), hyperparameter tuning, and feature importance analysis.

classification heart-disease machine-learning python random-forest scikit-learn

Last synced: 08 Oct 2025

https://github.com/fersihela/ml_project

Machine learning project developed for the Data Science course at Esprit School of Engineering. Focuses on predictive modeling using Python and scikit-learn.

deep-learning esprit-school-of-engineering machine-learning predective-modeling python scikit-learn

Last synced: 25 Feb 2026

https://github.com/manjotkaurgill/agritech

Enter details of your soil and weather, and find best suitable crop for farming. With our advanced AI system, you can make informed decisions and optimize your agricultural practices.

flask generative-ai insight-generation machine-learning matplotlib mongodb nextjs numpy pandas python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/agrawalchaitany/teamelytra_solar_eff_prediction_model

A robust, modular machine learning pipeline for predicting solar panel efficiency, featuring domain-specific preprocessing, advanced feature engineering, model training, evaluation, selection, and easy batch prediction from CSV files.

hackerearth-solutions lightgbm-regressor machine-learning optuna python3 scikit-learn solar-panel-efficiency xgboost-regression zelestra

Last synced: 09 Oct 2025

https://github.com/jlee9503/telecommunication-churn

Analyze key factors influencing customer churn using Python data analytics technique. Explore key factors through data preprocessing, exploratory data analysis (EDA), and predictive modeling.

data-analysis data-visualization matplotlib pandas python scikit-learn

Last synced: 18 Jan 2026

https://github.com/eljandoubi/dynamic_risk_assessment_system

ML Model Scoring and Monitoring

os pandas scikit-learn sqlite sys

Last synced: 14 Apr 2026

https://github.com/bhavnanahar/coral_project

ChatGPT said: This project analyzes and predicts the health of coral reefs in the Florida Keys by examining coral cover and species richness trends over time.

colab-notebook matplotlib numpy pandas plotly python random-forest scikit-learn seabo

Last synced: 14 Apr 2026

https://github.com/vishalgaud17/stroke

A simple Streamlit web app that predicts stroke risk based on user input features like age, BMI, glucose level, and lifestyle factors, using a pre-trained machine learning model.

machine-learning numpy pandas python scikit-learn streamlit

Last synced: 14 Apr 2026

https://github.com/shadmanshaikh/ml_algo_from_scratch

All standard machine learning algorithms from scratch in python 🐍

classification deep-learning machine-learning neural-nets python regression scikit-learn

Last synced: 09 May 2026

https://github.com/cinnaavox/loan-prediction

Machine Learning project predicting loan approvals using Decision Tree Classification. Includes data cleaning, feature engineering, model evaluation and key business insights.

decision-trees matplotlib numpy pandas python scikit-learn seaborn

Last synced: 14 Apr 2026

https://github.com/divyajnanakshi-cloud/phishing-detector

This project presents a Phishing Detection System implemented as a Chrome Extension designed to help users determine whether a website is legitimate or malicious

chrome-extension css hashing-algorithm html javascript python qr-code-processing random-forest scikit-learn steganography

Last synced: 14 Apr 2026

https://github.com/sharvesh1401/battsense

BattSense is a machine learning project focused on predicting the State of Health (SOH) of lithium-ion batteries using operational parameters such as voltage, current, temperature, and capacity. The model enables accurate, data-driven diagnostics for battery performance monitoring in electric vehicles and portable devices.

battery-diagnostics battery-health battery-health-prediction battery-soh data-analysis electric-vehicles energy-storage machine-learning predictive-maintenance python regression scikit-learn

Last synced: 07 May 2026

https://github.com/allanreda/automated-k-means-clustering-engine

An interactive K-Means clustering tool built with Flask and Scikit-Learn, supporting Excel file uploads, cluster analysis, and data export, deployed on Google Cloud Run via Docker with CI/CD integration.

cicd css data-visualization deployment docker flask google-cloud-run html javascript k-means-clustering machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 19 Jan 2026

https://github.com/alisonmitchell/titanic

Exploration of a subset of the Titanic passenger manifest to create a predictive classification model to determine which passengers were more likely to survive.

deep-learning keras machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn tensorflow

Last synced: 14 Apr 2026

https://github.com/priyanshulathi/air-quality-index-prediction

Machine learning based air quality index prediction using environmental and pollutant data to classify and forecast pollution levels.

machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 19 Jan 2026

https://github.com/jeus0522/7-explore-different-classifier-ml-app

A project exploring various classification algorithms, showcasing their implementation, comparison, and evaluation using Python and scikit-learn.

k-nearest-neighbours knn random-forest scikit-learn streamlit support-vector-machine svm

Last synced: 21 Jan 2026

https://github.com/katjaweb/king-county-house-price-prediction

This project aims to predict house prices based on various features such as square footage, number of rooms or location.

machine-learning python regression scikit-learn

Last synced: 19 Jan 2026

https://github.com/manome/python-supervised-learning

This project provides sample code for performing supervised learning.

conformal-prediction scikit-learn supervised-learning

Last synced: 19 Jan 2026

https://github.com/sudarshanc00/smishing

This project aims to classify text messages to detect potential smishing (SMS phishing) attacks. Using machine learning, the project provides a classifier that can differentiate between legitimate messages and smishing attempts, helping to prevent scams.

nltk numpy pandas python scikit-learn scipy

Last synced: 14 Apr 2026

https://github.com/afkewolczyk/data_science_bootcamp

A data science project to learn data science essentials such as: pandas, Matplotlib, Scikit learn

ai data-science machine-learning pandas scikit-learn

Last synced: 07 May 2026

https://github.com/ricardorobledo/paymentcardfrauddetection2025

Comparative analysis of probabilistic classification models for credit card fraud detection, focusing on model calibration and threshold optimization in highly imbalanced datasets.

imbalanced-learn matplotlib numpy pandas python3 scikit-learn search

Last synced: 14 Apr 2026

https://github.com/gabrielmazzotta/nlp-clustering--movie-similarity-from-plot-summaries

A Python-based movie recommendation system leveraging NLP and clustering techniques. This project includes data processing, vectorization of plot summaries, and the implementation of recommendation algorithms to suggest similar movies based on user input.

clustering cosine-similarity hierarchical-clustering kmeans lemmatization nlp recommendation-engine scikit-learn similarity-score spacy tokenization

Last synced: 21 Jan 2026

https://github.com/1adityakadam/tweet-classification-using-nlp-techniques

This project classifies tweets as toxic or non-toxic using NLP and machine learning. It includes preprocessing, feature engineering, and models like Logistic Regression, Random Forest, and XGBoost on labeled tweet datasets. Technologies: Python, Pandas, NLTK, Scikit-learn, XGBoost.

nltk pandas python scikit-learn xgboost

Last synced: 05 May 2026

https://github.com/angelarreola/ai_notes

Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.

ai matplotlib numpy pandas phaserjs python scikit-learn

Last synced: 21 Jan 2026

https://github.com/srijon57/disease-detector

Practice python3 detecting diseases based on symptoms

flask machine-learning pandas python3 scikit-learn typescript vite

Last synced: 11 Apr 2026

https://github.com/angelalim88/jakarta-air-quality-index-classification

This project classifies Jakarta's Air Quality Index (AQI) from 2010 to 2023 using machine learning models (Random Forest, MLP, SVM) based on pollutant concentrations.

data-analysis data-visua machine-learning scikit-learn tensorflow

Last synced: 13 Oct 2025

https://github.com/vedanty3/bulldozer-price-prediction

A machine learning project aiming to build a machine learning model which could predict the sales price of bulldozer.

andrew-ng-machine-learning ensemble-machine-learning gridsearchcv jupyter-notebook machine-learning matplotlib numpy pandas python randomforestregressor randomizedsearchcv scikit-learn ztm

Last synced: 05 Apr 2026

https://github.com/ayorick23/python-data-science-cheat-sheet

Guía rápida y práctica de sintaxis, comandos y funciones esenciales de Python para Ciencia de Datos. Perfecta para recordar cómo usar las librerías más comunes como NumPy, Pandas, Matplotlib y Scikit-learn en tus análisis diarios.

cheat-sheet data-analysis data-science data-visualization deep-learning jupyter-notebook machine-learning matplotlib ml numpy pandas python scikit-learn scipy seaborn statistics sympy tensorflow

Last synced: 07 Apr 2026

https://github.com/aasjunior/machinelearningapp

O Machine Learning App é um aplicativo desenvolvido com Kotlin, Android Studio e Jetpack Compose, para aplicação de algoritmos de aprendizado de máquina e exibição dos resultados. Realizado como tarefa da disciplina de Laboratório Mobile/Computação Natural no 5º Semestre de Desenvolvimento de Software Multiplataforma.

fastapi jetpack-compose kotlin-android machine-learning material-design scikit-learn

Last synced: 18 Apr 2026

https://github.com/avik-pal/kaggle-titanic

Predicting whether a given set of people survive on the Titanic

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 14 Apr 2026

https://github.com/mahambilalandahaan/week8

K-Means Deep Dive: Clustering analysis with Elbow and Silhouette methods in Python

clustering data-visualization jupyter-notebook k-means machine-learning python scikit-learn unsupervised-learning

Last synced: 20 Apr 2026

https://github.com/moanassiddiqui/handsonml_ml

This is the complete part I of the Hands-On Machine Learning book which was about the classical machine learning models.

hands-on machine-learning scikit-learn

Last synced: 14 Mar 2026

https://github.com/ljubogdan/solar-cycle-lstm

This project predicts sunspot activity using an LSTM model for time series data. Built with TensorFlow and Keras, it uses Huber loss for outlier handling and MAE for performance evaluation. The dataset, sourced from Kaggle or SIDC, spans over 270 years of monthly sunspot data.

conv1d huber-loss-regression kaggle keras lstm machine matplotlib numpy pandas scikit-learn seaborn solar sunspots tensorflow time-ser

Last synced: 13 Apr 2026

https://github.com/szymon-budziak/ai_football_game_analysis

Football game analysis using YOLOv8 for object detection, Optical Flow for motion tracking, speed and distance calculations, perspective transformation, and K-Means clustering for pixel segmentation.

ai computer-vision kmeans object-detection optical-flow python3 pytorch roboflow scikit-learn segmentation supervision ultralytics yolov8

Last synced: 03 May 2026

https://github.com/sunilvarma-l/liverdiseaseprediction

"Streamlit app to predict liver disease risk using a machine learning model based on patient input data."

machine-learning matplotlib numpy pandas pickle python scikit-learn seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/darkdk123/customer-churn-prediction-innobytes

Predicting Customer churns as an Internship project at Innobytes services.

data-science python scikit-learn streamlit xgboost-classifier

Last synced: 14 Apr 2026

https://github.com/mecha-aima/fake-bills-detection

This Python project implements a simple classification model comparison using scikit-learn to classify banknotes as either "Authentic" or "Counterfeit" based on four features

classification-model machine-learning model-selection scikit-learn

Last synced: 27 Jan 2026

https://github.com/icepanorama/internship-visualizations-and-demonstrations

A collection of some of the programs that I've written over the course of my internship.

artificial-intelligence machine-learning matplotlib numpy pandas python3 pytorch scikit-learn

Last synced: 14 Apr 2026

https://github.com/bilgenurbekar/turkishcyberbullying

Contains fine-tuned BERT models and results in the text classification category using Turkish social media data

bert-fine-tuning huggingface-transformers matplotlib numpy pandas python pytorch scikit-learn transformers

Last synced: 07 Mar 2026

https://github.com/alexliap/sk_serve

Deployment of a Scikit-Learn model and it's column transformations made easy.

machine-learning mlops model-deployment scikit-learn

Last synced: 24 Oct 2025

https://github.com/jofaval/sonar

Binary Classification of Sonar Signals of Rocks and Metal cylinders in 1987

data-analysis data-science data-visualization machine-learning python scikit-learn sonar uci

Last synced: 09 Apr 2026

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: 02 Apr 2026

https://github.com/adriantomin/bulldozer-price-prediction

Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.

data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 23 Jan 2026

https://github.com/mohammad95labbaf/churn-prediction

This project aims to predict customer churn using machine learning algorithms. The project includes data preprocessing, feature engineering, and model evaluation.

adaboost bagging churn churn-analysis churn-prediction decisiontree ensemble-learning knn randomforest scikit-learn sklearn svm voting

Last synced: 23 Jan 2026

https://github.com/sonaligill/olympics-analysis

The outcome of this project is an interactive streamlit web application that visualizes the analysis of Olympic data while rendering different aspects of Olympic history, compare country performances, and gain insights into athlete demographics.

numpy plotly python scikit-learn scipy streamlit

Last synced: 28 Jan 2026

https://github.com/rahul-120/crop_recom

This project is a Machine Learning based Crop Recommendation System built using Flask. It helps farmers or users decide the most suitable crop to grow based on soil nutrients and environmental conditions.

crop-recommendation-system flask flask-application machine-learning python3 scikit-learn

Last synced: 02 May 2026

https://github.com/raulmaulidhino-dev/ml_modelling_regression

There are many factors that influence the grades/scores of students. One of the factors is study hours. In this mini analysis project, there are 3 models that will learn and predict the relation between study hours of students and their scores in an exam/test. This project will result the best ML model to solve the problem.

data data-analysis-python data-science eda machine-learning scikit-learn

Last synced: 28 Jan 2026

https://github.com/anuranjanjain/video-upscaler

A WebAPP designed for upscalling video to HD Resolution using custom Denoise filter and OpenCV

artificial-intelligence opencv python scikit-learn tailwindcss

Last synced: 24 Jan 2026

scikit-learn Awesome Lists
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scikit-learn Categories
Other Awesome Lists 53 Machine Learning 44 Deep Learning 31 General 30 Data Manipulation 29 Model Explanation 27 Reinforcement Learning 24 Optimization 24 Visualization 18 Graph Machine Learning 17 Feature Engineering 17 Time Series 16 Probabilistic Methods 13 Computer Vision 12 Deployment 10 Computer Audition 9 Computations 9 Natural Language Processing 9 Distributed Computing 8 Learning-to-Rank & Recommender Systems 7