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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/praatibhsurana/breast-cancer-prediction-svm

A SVM classifier coded in Python using Scikit-Learn to classify whether a patient's tumor is malignant or benign.

kaggle-dataset linear-classifier machine-learning-algorithms python scikit-learn svm-classifier

Last synced: 16 May 2026

https://github.com/pramodyasahan/learn-ml

This repository serves as both a personal learning diary and a resource for others interested in understanding and applying machine learning concepts. The projects are categorized based on the type of ML model and are implemented in Python using libraries like scikit-learn, pandas, and numpy.

classification clustering machine-learning matplotlib numpy pandas regression scikit-learn supervised-learning unsupervised-learning

Last synced: 07 Apr 2026

https://github.com/aneeshmurali-n/ann-diabetes-prediction

Predicting diabetes progression using an Artificial Neural Network (ANN). This project leverages the scikit-learn diabetes dataset for training and evaluation. Includes data preprocessing, model building, and performance visualization.

ann data-preprocessing data-visualization deep-learning diabetes-prediction exploratory-data-analysis keras machine-learning matplotlib neural-network numpy pandas regression scikit-learn seaborn tensorflow visualization

Last synced: 07 Apr 2026

https://github.com/shubhamsoni98/project_using_knn

This project applies the K-Nearest Neighbors (KNN) algorithm to predict iPhone purchases based on customer data. Using features like age, salary, and previous purchase behavior, the KNN model classifies customers into buyers and non-buyers.

anaconda analytics data data-science eda knn knn-classification machine-learning-algorithms predict project python scikit-learn tableau

Last synced: 03 Jan 2026

https://github.com/thaisgarcia/scikit-learn

Utilizei aprendizado supervisionado, mais especificamente regressão linear, para prever salários com base no tempo dedicado aos estudos mensais. O modelo treinado estabeleceu uma relação matemática entre salário e horas de estudo, ajustando parâmetros durante o treinamento.

pandas scikit-learn seaborn

Last synced: 08 May 2026

https://github.com/abdiasarsene/developpement_tableau_de_bord_de_la_chaine_approvisionnement_power_bi

Développer une solution complète pour visualiser, analyser et prédire des données de la chaîne d'approvisionnement.

ci-cd docker fastapi github-actions mysql-database randomizedsearchcv scikit-learn seaborn-plots

Last synced: 23 Jun 2025

https://github.com/sankoktas/bhi360-fall-detection

Fall detection system using Bosch BHI360 sensor data with time-series labeling, feature extraction, and machine learning (LOSO CV + Gradient Boosting).

accelerometer bhi360 bosch-sensors data-augmentation fall-detection feature-extraction gradient-boosting gyroscope human-activity-recognition label-studio loso-cross-validation machine-learning python scikit-learn sensor-data smote time-series

Last synced: 07 May 2026

https://github.com/sayan520/titanic-data-insights

Conducting data analysis on Kaggle's Titanic: Machine Learning from Disaster dataset using essential data wrangling, exploratory data analysis (EDA), and visualization techniques to uncover insights, identify patterns, and explore factors influencing passenger survival.

jupyter-notebook kaggle matplotlib numpy pandas python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/hiftd22/wpattern

📈 Analyze and visualize stock patterns with wPattern for better trading insights. Simplify your investment decisions through data-driven analysis.

cli finance financial-analysis financial-data matplotlib numpy pandas pattern-recognition python scikit-learn stock-scanner technical-analysis yfinance

Last synced: 29 Apr 2026

https://github.com/tnleite/credit-card-customer-clustering

Este repositório apresenta um projeto de segmentação e predição de clientes de cartões de crédito. Utilizando EDA, clusterização (K-Means) e machine learning, o objetivo é prever o grupo de novos clientes, apoiando estratégias de marketing personalizadas.

classification-algorithm clustering-algorithm clustering-analysis data-science exploratory-data-analysis kmeans-clustering logistic-regression machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn seaborn

Last synced: 07 May 2026

https://github.com/mmerlyn/analysis-of-tomato-prices

Forecasting tomato prices in Karnataka using machine learning to help farmers make better crop planning and selling decisions.

css flask html matplotlib numpy pandas python scikit-learn seaborn

Last synced: 06 Jul 2025

https://github.com/rahulsm20/insurance-data

A data analytics project dealing with risk assessment and it's effects in health insurance.

data-analysis data-analytics machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/pranavsp108/market_basket_analysis-instacart

Customer segmentation and market basket analysis using the Instacart dataset with Python, Pandas, and K-Means clustering.

customer-segmentation-and-buying-behavior data-analysis data-visualization instacart jupyter-notebook kmeans-clustering market-basket-analysis pandas python scikit-learn

Last synced: 05 May 2026

https://github.com/lucasfranklinsilva/rnn-lstm

Modelo de Prevenção de Falhas em Turbinas Simuladas Utilizando Redes Neurais Recorrentes

data-visualization deep-learning jupyter-notebook keras machine-learning neural-networks python scikit-learn

Last synced: 12 Apr 2026

https://github.com/dmarks84/coursework_project_ml-classifier-eval-selection

Project for University of Michigan Applied Data Science Specialization -- Predicted viewer engagement based on features related to video metrics; evaluated a large set of classifiers under different scoring metrics to select the "optimal" one.

classification cross-validation data-modeling data-reporting data-visualization databases dataframes eda grid-search matplotlib numpy pandas python scikit-learn statistics supervised-ml

Last synced: 02 Apr 2026

https://github.com/akapich/clustermatic

Python AutoML library for clustering tasks

automl clustering machine-learning scikit-learn

Last synced: 11 Feb 2026

https://github.com/theartificialdev/movie-recommendation-system

The primary goal of this project is to provide personalized movie recommendations to users based on their preferences and the characteristics of the movies. This is achieved through a multi-step process involving data preprocessing, text vectorization, and recommendation generation.

anaconda-environment data-science jupyter-notebook machine-learning movie-recommendation movies pandas python3 recommendation-system recommender-system scikit-learn scikitlearn-machine-learning

Last synced: 12 Apr 2026

https://github.com/sohang3112/stock-prediction-mlops

Stock Prediction MLOps group project for IIT Madras MTech (AI).

mlops python scikit-learn stock-price-prediction

Last synced: 20 Jun 2026

https://github.com/pders01/telarantula

📜 I made this for Uni. Was pretty fun. It scrapes telegram channels of known German tinfoil-hats and tries to detect the telegram channel based on the emojis that are used.

assignment python research scikit-learn scrapy

Last synced: 04 Aug 2025

https://github.com/thariniselvakumar/kidney-disease-prediction

This project is about the kidney disease prediction using machine learning algorithms

machine-learning matplotlib numpy pandas scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/fikri-rouzan/energy-consumption-prediction

Final Project for the AI/ML Weekly Class by Google Developer Group on Campus (GDGoC) UIN Jakarta.

jupyter-notebook matplotlib numpy pandas python scikit-learn scipy seaborn

Last synced: 07 Apr 2026

https://github.com/omerdduran/riskfactor-heart

This ML project predicts heart disease using logistic regression on the Cleveland Heart Disease UCI dataset, featuring advanced preprocessing and medical feature engineering, achieving 82.1% accuracy with strong cross-validation.

cardiovascular-health data-science data-visualization heart-disease-prediction logistic-regression machine-learning medical-ai scikit-learn

Last synced: 14 May 2026

https://github.com/vijay-saravanan/advanced-human-life-detection

Portable, real-time embedded system using mmWave radar, microphone, and accelerometer sensor fusion with advanced signal processing and machine learning to detect and locate humans trapped under debris. Features rapid alerts via LCD, LED, buzzer, and is designed for Raspberry Pi deployment in disaster scenarios.

disaster-recovery dwt fft landslide machine-learning random-forest-classifier scikit-learn sensor-fusion sensors-data-collection signal-processing vital-signs

Last synced: 14 May 2026

https://github.com/muhdhammad/machine-learning

Crafted for hands-on learning and implementation of ML with scikit-learn

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

Last synced: 07 Apr 2026

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/jpcano/boston_housing

Predicting Boston Housing Prices using supervised Machine Learning algorithms

cross-validation machine-learning numpy pandas python regression-models scikit-learn

Last synced: 12 Apr 2026

https://github.com/ccastleberry/sk-autobots

Custom data transformers using the scikit-learn API.

scikit-learn sklearn sklearn-api

Last synced: 08 Feb 2026

https://github.com/themihirmathur/soiligator

Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.

auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine

Last synced: 12 Apr 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/manshreet27/mrs

This Movie Recommendation System is a web-based application built using Python and Streamlit, designed to provide movie recommendations based on user preferences. It utilizes TMDb API for fetching real-time movie details and Kaggle's TMDB 5000 Movies dataset for content-based filtering.

numpy pandas python scikit-learn streamlit tmdb-5000-movies-dataset-from-kaggle tmdb-api-for-fetching-real-time-movie-data

Last synced: 07 Apr 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/rihua-tech/iris-ml-end-to-end

End-to-end Iris classification in Python: EDA → stratified CV → model comparison → SVM grid search → hold-out test → model persistence.

classification eda machine-learning python scikit-learn svm

Last synced: 14 May 2026

https://github.com/sabin74/spam_mail_detection

A machine learning project to classify SMS messages as Spam or Ham (Not Spam) using Natural Language Processing (NLP) techniques and Scikit-learn. This binary classification task uses the UCI SMS Spam Collection Dataset and implements various models including Naive Bayes, SVM, and Logistic Regression with performance tuning.

gridsearchcv nltk python scikit-learn smote sms-spam-detection uci-machine-learning

Last synced: 04 May 2026

https://github.com/touhoue/oilpumpvibration

The project employs signal processing techniques like Hilbert transforms to extract amplitude envelopes and instantaneous frequencies, facilitating insights into the mechanical health and performance of the system.

python scikit-learn

Last synced: 07 May 2026

https://github.com/gititsid/visaverdict

A ML project to predict possibility of US Visa approval

classification python3 random-forest-classifier scikit-learn

Last synced: 03 Feb 2026

https://github.com/koradapavani/customer-churn-ml-project

Machine learning project to predict customer churn in telecom

churn-prediction machine-learning python scikit-learn telecom

Last synced: 04 May 2026

https://github.com/lorenzorottigni/ml-universities

Machine Learning python bootcamp: K mean clustering with public/private universities dataset

k-mean-clustering machine-learning numpy pandas python scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/jprmaulion/bayesopt-gb-seismic-liquefaction-liq7

Bayesian-optimized gradient boosting for seismic liquefaction prediction with geographic stratified CV on the LIQ/7/2833 global database.

bayesian-optimization binary-classification gradient-boosting lightgbm liquefaction machine-learning python scikit-learn shap shear-wave-velocity soil-mechanics xgboost

Last synced: 29 May 2026

https://github.com/leabrodyheine/ml-kaggle-cirrhosis-data

This project showcases skills in machine learning, data preprocessing, and model evaluation using Python libraries such as scikit-learn, XGBoost, and Optuna. It involves implementing various machine learning models, handling imbalanced data, and employing imputation techniques to enhance model performance for predicting cirrhosis outcomes.

data-analysis data-pre imbalanced-data imputation machine-learning optuna pipeline scikit-learn xgboost

Last synced: 14 May 2026

https://github.com/massimilianoviola/entity-matching-dblp-acm

Entity matching on the DBLP-ACM dataset

scikit-learn sentence-transformers

Last synced: 13 Jun 2026

https://github.com/mpoojithavigneswari/bangalore-house-price-prediction

This project involves creating a website that predicts Bangalore house prices with 94.65% accuracy using a machine learning algorithm.

data-analysis data-science flask-server machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/aleksandarbuk/machine-learning

The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.

matplotlib numpy python scikit-learn tensorflow

Last synced: 16 Apr 2026

https://github.com/alpkanoz/ibm_data_science_professional_certificate

The repository contains projects and training materials carried out throughout the IBM data science professional course.

classification clustering data-analysis data-science data-visualization dataframe ibm ibm-watson machine-learning mathplotlib pandas predictive-modeling python scikit-learn

Last synced: 07 Mar 2026

https://github.com/armahdavi/data_pipeline_analytics_statistics_ml_pm_psd_residential_qff

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics

Last synced: 11 Apr 2026

https://github.com/namratha2301/bangalorehousepricepredictor

Predicting house price in Bangalore based on the key features of the house like number of rooms, size in square feet etc.

azure bashscript docker flake8 flask github-actions scikit-learn

Last synced: 12 Apr 2026

https://github.com/charlescro/reddit-classification-nlp

Analyzing subreddit language via Reddit API and NLP techniques.

data-analysis data-science data-visualization nlp-machine-learning reddit-api scikit-learn

Last synced: 03 Apr 2025

https://github.com/filsan95/project-iot_malware_identification

This repository contains the code and data for a project that detects malware from IoT devices using a publish-subscribe model with Confluent and Databricks. The project streams IoT device data to Kafka, analyzes it, and detects malware using machine learning models such as Random Forest and Gradient Boosted Trees.

apache-kafka classification confluent databricks machine-learning-algorithms scikit-learn sql

Last synced: 16 Mar 2025

https://github.com/vipulbunny/house-price-prediction

House Price Prediction is a machine learning project that analyzes real estate data to predict house prices based on various features like location, size, and amenities. It involves data preprocessing, exploratory data analysis (EDA), feature engineering, and model training using regression algorithms to provide accurate price estimates. 🚀📊🏡

ai-in-real-estate data-science data-visualization eda feature-engineering house-price-prediction housing-market-analysis machine-learning predictive-modeling python real-estate-analytics regression-models scikit-learn

Last synced: 03 May 2026

https://github.com/florianwoelki/stock_price_prediction

This is a simple jupyter notebook for stock price prediction. As a model I've used the linear, ridge and lasso model.

lasso-regression linear-regression python ridge-regression scikit-learn stock-price-prediction

Last synced: 07 Apr 2026

https://github.com/karimosman89/health-risk-assessment

Predict health risks based on patient data.Create a machine learning model that predicts health risks (like diabetes or heart disease) based on patient data.Help healthcare providers identify at-risk patients for early intervention.

ehr-data pandas python scikit-learn

Last synced: 06 May 2026

https://github.com/gangula-karthik/bank-transaction-classification

Classifying bank transactions with precision—your first step towards smarter finance management 💳🤖📊

finance machine-learning nlp scikit-learn

Last synced: 09 Apr 2025

https://github.com/lorenzorottigni/ml-interview

Machine Learning python bootcamp: K Nearest Neighbors job interview simulation dataset

ipynb k-nearest-neighbours machine-learning numpy pandas python scikit-learn seaborn

Last synced: 07 Apr 2026

https://github.com/aysh2603/credit-card-fraud-detection

The Credit Card Fraud Detection project aims to identify fraudulent transactions from a dataset of credit card transactions. The project addresses the challenge of class imbalance and employs advanced machine learning techniques to build an effective fraud detection model.

ensemble-learning hyperparameter-tuning numpy pandas python3 scikit-learn streamlit

Last synced: 04 Feb 2026

https://github.com/kosmoswerner/scikitlearn.net

C# bindings for Scikit-Learn (WIP - Refactor)

machine-learning scikit scikit-learn sklearn

Last synced: 20 Jun 2025

https://github.com/rosa-lpz/machine-learning-zoomcamp-2025

Machine Learning Zoomcamp 2025 from DataTalksClub. Based on repository: https://github.com/DataTalksClub/machine-learning-zoomcamp/tree/master

aws deep-learning docker flask kserve kubernetes machine-learning machine-learning-algorithms machine-learning-projects metrics-visualization neural-networks numpy pandas python scikit-learn tensorflow xgboost

Last synced: 06 Apr 2026

https://github.com/labex-labs/scikit-learn-for-beginners

This comprehensive course covers the fundamental concepts and practical techniques of Scikit-learn, the essential machine learning library in Python. Learn to build, train, and evaluate machine learning models using various algorithms and preprocessing techniques.

algorithms beginner-friendly classification clustering course data-science feature-engineering hands-on labex labs machine-learning model-evaluation preprocessing programming python python-programming regression scikit-learn supervised-learning unsupervised-learning

Last synced: 14 May 2026

https://github.com/lakshitalearning/spamfortress

A machine learning-based project to detect SMS spam messages with high accuracy, using the SMS Spam Collection Dataset and techniques like supervised learning, text preprocessing, and model comparison.

data-science google-colab machine-learning nlp scikit-learn sms-spam-detection

Last synced: 28 Apr 2026

https://github.com/sckonung/crab-age-regression

ML model for regression with a crab age dataset Competition in Kaggle

keras machine-learning pandas python scikit-learn tensorflow

Last synced: 17 Feb 2026

https://github.com/otuemre/housepricingml

A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.

eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression

Last synced: 13 Apr 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/the-developer-306/fake-review-detector

This project is a machine learning-based review classification system that predicts whether a product review is GENUINE or FAKE. It preprocesses review text, analyzes sentiment, and uses numerical features like ratings and helpfulness to make predictions. The model is deployed via a Flask web application for user interaction.

classification flask logistic-regression machine-learning numpy pandas python renderdeploy scikit-learn sentiment-analysis

Last synced: 12 Apr 2026

https://github.com/davidyslu/pokemonrecognition

Recognize Pokemon's image using scikit-learn in Python

knn-model python scikit-learn svm-model

Last synced: 02 May 2026

https://github.com/akhileshmanitiwari06/gesture-to-command-system

AI that recognizes your gestures via webcam and maps them to system commands (play, pause, next, scroll, etc.)

pyautogui-automation python scikit-learn tkinter-gui

Last synced: 16 May 2026

https://github.com/ntanwir10/ai-anamoly-detector

A highly efficient, real-time anomaly detection system for distributed microservices architecture that leverages Redis's advanced probabilistic data structures (RedisBloom) for memory-efficient data collection and RedisGears for in-database processing. An AI model analyzes data patterns to identify and predict system failures before they cascade.

client-sdks docker docker-compose expressjs flask kubertnetes microservices nodejs python reactjs redis-bloomfilter redis-gears redis-pubsub redis-stack redis-streams scikit-learn

Last synced: 06 Apr 2026

https://github.com/rishavp15/aivshuman_text

In this project make user to decide that the text which is entered in text box is a human generated or a computer generated text.

django pandas python scikit-learn

Last synced: 11 Feb 2026

https://github.com/alejoduarte23/si_bayesianmixturemodel

Implementation of a two-stage fast Bayesian system identification for separated Modes. This repository expands the usage of this technique by adding a mixture model fit to obtain modal parameters from the posterior distribution.

matplotlib numpy scikit-learn scipy

Last synced: 20 Feb 2026

https://github.com/mkdirer/depression-data-analysis

This project analyzes a Kaggle depression dataset using data preprocessing, clustering, classification, and outlier detection techniques. Python libraries like pandas, numpy, matplotlib, seaborn, and scikit-learn are used to extract insights.

classification clustering matplotlib numpy pandas scikit-learn seaborn vizualization

Last synced: 12 Apr 2025

https://github.com/m-rishab/job-recruitment-prediction-and-hr-dashboard-using-plotly

This project features make it ideal for dynamic HR dashboards, offering insights into candidate profiles and recruitment processes.

correlation-analysis flask kmeans-clustering numpy pandas plotly python scikit-learn seaborn standardscaler

Last synced: 12 Apr 2026

https://github.com/shreeparab1890/laptop-price-predictor

This notebook is trying to build a model which will predict the price of the laptop based on the given specifications.

machine-learning-algorithms matplotlib numpy pandas price-prediction python scikit-learn sklearn

Last synced: 06 Apr 2026

https://github.com/adiseshu-sdet/ai-model-testing

This project demonstrates a complete workflow for developing, testing, and deploying an AI model. The primary objective is to build and test a machine learning model, expose it via a REST API, and automate the entire process using CI/CD pipelines. Below is a detailed summary of the work done.

dockerization flask-rest-api logistic-regression machine-learning python3 scikit-learn

Last synced: 16 May 2026

https://github.com/a-iftikhar02/telco-churn-pipeline

End-to-End Customer Churn Prediction Pipeline using Scikit-learn, GridSearchCV, and Gradio. Automatically preprocesses Telco data, tunes Logistic Regression & Random Forest models, and deploys an interactive web app for real-time churn predictions.

automation churn-prediction gradio gridsearchcv hyperparameter-tuning joblib machine-learning ml-pipeline python scikit-learn streamlit telco-churn

Last synced: 08 Oct 2025

https://github.com/vipinchaudhary31122002/bytephone

A data science project that explores, visualizes, and models smartphone features from a futuristic 2025 dataset to predict mobile prices using machine learning.

machine-learning matplotlib numpy pandas python3 scikit-learn seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/duruii/contest-dingtalkcup2-a

2023年第二届“钉钉杯”大学生大数据挑战赛——智能手机用户监测数据分析

data-mining machine-learning pandas scikit-learn xgboost

Last synced: 12 Mar 2025

https://github.com/hvalfangst/azure-functions-pandas

Azure Functions for ETL operations using Pandas. Uploaded CSV files trigger data processing, calculating correlations and storing results in a JSON file. Automated deployment via GitHub Actions and Terraform.

az-204 azure azure-functions azure-functions-python pandas python scikit-learn terraform

Last synced: 12 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

scikit-learn Awesome Lists
awesome-python-data-science 382 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 55 Machine Learning 43 General 35 Data Manipulation 29 Deep Learning 28 Model Explanation 26 Reinforcement Learning 24 Optimization 22 Visualization 18 Graph Machine Learning 17 Feature Engineering 16 Time Series 16 Probabilistic Methods 13 Computer Vision 12 Computer Audition 9 Computations 9 Natural Language Processing 9 Deployment 8 Distributed Computing 7 Experimentation 7