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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/lorenzorottigni/ml-iris-svm

Machine Learning python bootcamp: Support Vector Machines on iris flower dataset

ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines

Last synced: 10 Apr 2026

https://github.com/kanika300393/loan_prediction

This project implements a Loan Prediction system using Support Vector Machine (SVM). It includes data preprocessing, visualization of features like income and education, and model evaluation. The goal is to predict loan approval based on the dataset. Clone the repo to explore the code and improve the model.

data-science machine-learning numpy pandas python scikit-learn svm-classifier

Last synced: 09 Apr 2026

https://github.com/oneapi-src/customer-churn-prediction

AI Starter Kit for customer churn prediction using Intel® Extension for Scikit-learn*

machine-learning scikit-learn

Last synced: 04 Apr 2025

https://github.com/akshaypatra/cardiovascular_disease_detection

AI-driven ECG classification model that detects cardiovascular abnormalities such as arrhythmia and atrial fibrillation using a hybrid CNN-LSTM deep learning approach.

keras matplotlib numpy pandas python3 scikit-learn seaborn tensorflow wfdb

Last synced: 14 Apr 2026

https://github.com/moritzkoerber/tune_preprocessing_algos

Files for this blogpost https://moritzkoerber.github.io/python/tutorial/2019/11/18/blogpost/

cross-validation hyperparameter-tuning machine-learning python scikit-learn

Last synced: 30 Apr 2026

https://github.com/tinaland101/credit-risk-classification

The purpose of this project is to build a credit risk classification model using machine learning techniques. This model helps identify the creditworthiness of borrowers based on historical lending data. Specifically, it uses a logistic regression model to predict whether a loan is healthy (0) or high-risk (1).

numpy pandas pathlib scikit-learn

Last synced: 30 Apr 2026

https://github.com/samuelpillai/machine-learning-classification-regression-nlp

A curated collection of machine learning mini-projects covering classification, regression, and natural language processing (NLP). This project demonstrates model training, evaluation, feature engineering, and pipeline integration using real-world datasets and Python tools like Scikit-learn, pandas, and NLTK.

classification data-analysis data-science data-visualization feature-engineering jupyter-notebook machine-learning ml-pipeline model-evaluation nlp python regression-models scikit-learn supervised-learning text-mining

Last synced: 30 Apr 2026

https://github.com/abhivur/connections-ai

Contributors: Meet Gamdha, Gaurav Nimmagadda

bert python scikit-learn word2vec

Last synced: 30 Apr 2026

https://github.com/fbarffmann/credit-risk-classification

Classified 19,000+ loans as high-risk or healthy using logistic regression. Achieved 100% precision for healthy loans and 84% precision for high-risk loans.

classification credit-risk data-analysis logistic-regression machine-learning model-evaluation pandas python scikit-learn

Last synced: 30 Apr 2026

https://github.com/fadlani-aditya/iris-plant-classification

This project focuses on classifying different species of Iris flowers using the Random Forest algorithm. The dataset, sourced from Scikit-learn, contains four key features: sepal length, sepal width, petal length, and petal width, which are used to predict the flower species (Setosa, Versicolor, and Virginica).

agriculture data-science iris-dataset machine-learning python scikit-learn supervised-learning

Last synced: 01 May 2026

https://github.com/arturovaine/n8n-nodes-sklearn

Custom n8n nodes for integrating scikit-learn machine learning algorithms into your n8n workflows.

machine-learning n8n n8n-nodes scikit-learn sklearn

Last synced: 08 Jun 2026

https://github.com/barbarahayd/com410-ml

atividades aula machine learning

decision-tree scikit-learn

Last synced: 01 May 2026

https://github.com/danishzulfiqar/language-detection-nlp-model

This machine learning model is designed to accurately detect and classify text in 18 languages using NLP

fastapi jupyter-notebook machine-learning natural-language-processing scikit-learn

Last synced: 01 May 2026

https://github.com/anastasiaschmidt1/sqli-detection-ml

UNI-PROJEKT: Erkennung von SQL-Injection-Angriffen durch maschinelles Lernen (SVM-Modell)

bht-berlin machine-learning scikit-learn sqli svm

Last synced: 02 May 2026

https://github.com/maxwelllzh/linearizer

Linearizing parameters for linear regression

data-analysis machine-learning scikit-learn

Last synced: 02 May 2026

https://github.com/luizassimoes/sklearn-kaggle-titanic

This repository was created to store all the code for tackling the Titanic challenge on Kaggle.

kaggle machine-learning scikit-learn

Last synced: 02 May 2026

https://github.com/bishopce16/cryptocurrencies

An analysis on cryptocurrencies dataset using unsupervised machine learning, PCA algorithm, and K-means clustering.

hvplot jupyter-notebook pandas plotly python scikit-learn unsupervised-machine-learning visual-studio-code

Last synced: 02 May 2026

https://github.com/moritzkoerber/data_science_posts

This repository hosts the code for my data science related blog posts.

hyperparameter-tuning machine-learning pipeline python scikit-learn

Last synced: 03 May 2026

https://github.com/insane-group/scikit-learn-template

Generic template to bootstrap your scikit-learn project

hydra scikit-learn template

Last synced: 03 May 2026

https://github.com/viniciusds2020/ml_pycaret_classificacao

Sistema de preprocessamento e treinamento de modelos de machine learning utilizando PyCaret. Uma metodologia low-code para processos de MLops

machine-learning mlops preprocessing pycaret python scikit-learn

Last synced: 03 May 2026

https://github.com/fandredev/ml-my-guide

my own annotations about ML/DS using pandas, matplotlib, numpy, scikit learn

anaconda matplotlib numpy pandas plotly scikit-learn seaborn

Last synced: 03 May 2026

https://github.com/zhenglinlei/zdmp

Industry 4.0 Optimization with Machine Learning AI

industry-4 knn-classification machine-learning pandas python scikit-learn

Last synced: 03 May 2026

https://github.com/srisaihariharan/mic_sentiment_analysis_v

Sentiment analysis of IMDb movie reviews using Python, Scikit-learn, and TF-IDF.

machine-learning natural-language-processing nlp python scikit-learn sentiment-analysis sentiment-classification

Last synced: 03 May 2026

https://github.com/furk4nbulut/uygulamalarla-makine-ogrenmesi-ve-derin-ogrenme-atolyesi

Bu repository, Manisa'da gerçekleştirilen BTK Akademi Uygulamalı Makine Öğrenmesi ve Derin Öğrenme Atölyesi'ne ait eğitim sürecini kapsamaktadır. Atölyede katılımcılar, ileri düzey makine öğrenmesi ve derin öğrenme teknikleriyle ilgili teorik ve pratik bilgiler edinmektedir.

matplotlib numpy pandas scikit-learn seaborn

Last synced: 03 May 2026

https://github.com/kaustavmodak/business-aided-customer-feedback-assessment-system

A Streamlit-based sentiment analysis app that classifies customer reviews into Positive, Neutral, or Negative using a pre-trained ML mode

framework machine-learning matplotlib nlp nltk numpy pandas pickle regex scikit-learn seaborn sentiment-analysis streamlt tfidf-vectorizer

Last synced: 03 May 2026

https://github.com/jonad/finding_donors

Predicting income with UCI Census Income Dataset using supervised machine learning algorithms

numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 03 May 2026

https://github.com/arnavk-09/phishing-detection

🎣 Detect Phishing URLs with Data Pre-fitted... API & Web UI

csv data fastapi flask python scikit-learn

Last synced: 03 May 2026

https://github.com/srilaasya/breast-cancer-classifier

Used several Python libraries to make a K-Nearest Neighbor classifier that is trained to predict whether a patient has breast cancer

knearest-neighbor-classifier python scikit-learn

Last synced: 03 May 2026

https://github.com/ceodaniyal/telecom_customer_churn_prediction

A machine learning project that predicts whether a telecom customer will churn (leave the service) using customer demographics, account information, and service usage. The repository includes data preprocessing, model training (with logistic regression), feature scaling, and example predictions.

classification customer-churn-prediction data-science logistic-regression machine-learning ml-project pandas prediction python scikit-learn streamlit telecom

Last synced: 04 May 2026

https://github.com/abdullahalzubaer/feature-selection-ranking

In-depth analysis regarding feature selection and ranking.

feature-ranking feature-selection random scikit-learn

Last synced: 04 May 2026

https://github.com/danielwohlr/delivery_time_series

Time series forecasting of food delivery service data

forecasting-time-series python scikit-learn

Last synced: 04 May 2026

https://github.com/abhivur/graduate-income-forecaster

Contributors: Abdussalam Raheem, Chiara Su, and Joseph Botros

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 04 May 2026

https://github.com/joel-beck/airbnb-oslo

Price Prediction Models for Airbnb Apartments in Oslo | Winter Term 2021/22

prediction python pytorch scikit-learn

Last synced: 04 May 2026

https://github.com/keven-rdr/rio-airbnb-predictor

Estudo de IA, utilizando modelos de previsão como o regressor para determinar valor de imóvel

airbnb ia kaggle php price regression-models scikit-learn

Last synced: 04 May 2026

https://github.com/dakii24/credit-card-fraud-detection

This repository contains a machine learning project focused on detecting fraudulent credit card transactions. The project includes data preprocessing, model training, and evaluation to identify and prevent fraudulent activities.

capstone-project class-imbalance classification-algorithm credit-card credit-card-fraud data-science decision-trees fraud machine-learning open-data python scikit-learn svm svm-classifier

Last synced: 04 May 2026

https://github.com/drod75/nyc-arrests-analysis

This is a simple Data Science Project made to analyze and display data and trends found within the NYC Arrests Year to Date Dataset.

data-analysis data-visualization folium jupyter-notebook matplotlib-pyplot nyc-opendata nypd python scikit-learn seaborn

Last synced: 04 May 2026

https://github.com/chathumiamarasinghe/nn-training-model

A comprehensive project for training neural networks to solve real-world problems. This repository includes customizable code for building, training, and evaluating neural network architectures using popular deep learning frameworks.

jupyter-notebook matplotlib numpy phyton scikit-learn

Last synced: 04 May 2026

https://github.com/aqueeqazam/machine-learning-using-scikit

This repository contains all of the algorithms used to train the machine learning models using the Scikit library.

numpy scikit-learn

Last synced: 04 May 2026

https://github.com/pierrealexandre78/deathpredict

Predict Hospital mortality rate using Machine Learning for patients admitted in ICU (Intensive Care Unit)

healthcare hospital machine-learning predictions python random-forest-classifier scikit-learn xgboost-classifier

Last synced: 05 May 2026

https://github.com/simpl1fy/spam-classifier-project

A web application to classify spam texts or emails.

multinomial-naive-bayes nltk python render scikit-learn text-classification

Last synced: 05 May 2026

https://github.com/s-matke/eco-forecast

Machine learning model used for predicting European country with most green surplus energy generated

data-science green-energy machine-learning scikit-learn supervised-learning

Last synced: 05 May 2026

https://github.com/marconicivitavecchia/stazione-monitoraggio-ambientale

Codice in MicroPython per ESP32 per il corso tenuto dalla nostra scuola rivolto ai docenti sulla creazione di una stazione di monitoraggio ambientale che copre gli argomenti di Python, IoT ed Intelligenza Artificiale.

ai esp32 micropython micropython-esp32 python school-project scikit-learn

Last synced: 05 May 2026

https://github.com/hitthecodelabs/petalanalyticsstreamlit

Web application developed with Streamlit that predicts the Iris flower type based on its physical features

matplotlib model numpy pickle python scikit-learn sklearn streamlit

Last synced: 05 May 2026

https://github.com/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.

classification-models credit-card-prediction data-analysis data-classification decision-tree-classifier imbalanced-datasets machine-learning model-evaluation python scikit-learn

Last synced: 05 May 2026

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: 05 May 2026

https://github.com/akash-47-tank/personalized-e-commerce-review-summarizer

Personalized E-commerce Product Review Summarizer: A Streamlit app that summarizes product reviews (e.g., from a CSV) using T5-small and tailors summaries to user preferences (price, durability, etc.) with NLP and lightweight ML.

data-analysis e-commerce machine-learning nlp personalization portfolio python scikit-learn sentiment-analysis streamlit t5 transformers web-app

Last synced: 05 May 2026

https://github.com/teja-1403/coursera-machine-learning-with-python-honors

This project involves building a classifier to predict rainfall for the next day based on weather data from the Australian Government's Bureau of Meteorology. Various machine learning techniques such as Linear Regression, KNN, Decision Trees, Logistic Regression, and SVM were implemented and evaluated.

classification hierarchical-clustering machine-learning regression scikit-learn scipy

Last synced: 05 May 2026

https://github.com/zuhairzia/customer-segmentation

📖 About Customer Segmentation using KMeans clustering to analyze demographics, income, and spending. Helps businesses with targeted marketing and customer insights.

joblib matplotlib numpy pandas scikit-learn seaborn

Last synced: 05 May 2026

https://github.com/rohra-mehak/sciencesync

System for Personalized Google Scholar Alerts Processing and Data Management, and provision of ML based clustering analysis

agglomerative-clustering clustering crossref-api customtkinter google-api google-scholar graph-api machine-learning numpy pandas python3 scientific-article-analysis scikit-learn sqlite3

Last synced: 05 May 2026

https://github.com/rohansardar/iris_flower

A basic ML project on the iris flower classification

data-science iris-classification iris-dataset ml python scikit-learn

Last synced: 05 May 2026

https://github.com/gbourniq/cnn-multiclass-classification-gear

Using Machine Learning and Deep Learning to predict the category of outdoor equipment

image-classification keras-tensorflow multiclass-classification python scikit-learn tensorboard-visualizations

Last synced: 05 May 2026

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: 05 May 2026

https://github.com/antoniskl/un-general-debate-corpus-classification

The aim of this project is to classify UNGDC speeches with regards to climate change. As a secondary objective, a correlation is being examined between these speeches, the forestation and the happiness index of the countries.

classification data-science jupyter-notebook machine-learning nlp python regression scikit-learn text-classification text-preprocessing

Last synced: 05 May 2026

https://github.com/vanilladucky/housing-prediction

This is a data analytics and machine learning project that I undertook using a housing dataset on Kaggle in order to put my machine learning knowledge to practice and some practical application.

data-science machine-learning python scikit-learn

Last synced: 05 May 2026

https://github.com/zenitsu272/fault-detection-ml

Machine Learning based Fault Detection in machines using sensor data

artificial-intelligence decsion-tree machine-learning pandas pandas-dataframe pandas-python scikit-learn

Last synced: 05 May 2026

https://github.com/pjj11005/ml_with_pytorch_study

[머신 러닝 교과서: 파이토치 편] -> 학습한 코드 저장소

deep-learning graph-neural-networks machine-learning neural-networks pytorch scikit-learn transformer

Last synced: 06 May 2026

https://github.com/grandechowhiskey/fcc-machine_learning-boilerplates

A collection of projects completed as part of the FreeCodeCamp "Machine Learning with Python" certification. These projects focus on implementing machine learning models, data preprocessing, and predictive analysis using libraries like scikit-learn and TensorFlow.

ai ml python3 scikit-learn tensorflow

Last synced: 06 May 2026

https://github.com/fahrettinsolak/ai-based-salary-scale-calculation-project

This project demonstrates a Polynomial Regression model using a dataset related to experience and salary. The model is built using Python with the pandas, matplotlib, and sklearn libraries. The dataset includes information on years of experience and corresponding salary.

artificial-intelligence deep-learning jupyter-notebook machine-learning matplotlib pandas pyhton scikit-learn

Last synced: 05 May 2026

https://github.com/sadmansakib93/mental-resilience-analysis-using-machine-learning

Utilized supervised and unsupervised ML techniques to analyze mental health and resilience levels of medical students [Project completed on December, 2019]

artificial-intelligence classification clustering correlation linear-regression machine-learning machine-learning-algorithms mental-health python regression resilience scikit-learn statistical-analysis

Last synced: 06 May 2026

https://github.com/rishisolanke/twitter-sentiment-analysis-using-machine-learning-

A research project that classifies tweets as positive, negative, or neutral using ML algorithms (Logistic Regression, Naïve Bayes, SVM) with NLP preprocessing.

data-science data-visualization logistic-regression machine-learning ml-models naive-bayes natural-language-processing nlp scikit-learn sentiment-analysis svm text-classification twitter-data

Last synced: 06 May 2026

https://github.com/eshansugeesh/fico-score-loan-default-modeling-project

Credit risk assessment using FICO score segmentation, loan default modeling, discretization techniques, and log-likelihood evaluation for predictive analytics in financial services.

bucketing classification credit-risk customer-segmentation data-science discretization fico-score financial-analytics loan-analysis loan-default log-likelihood machine-learning numpy pandas predictive-modeling risk-modeling scikit-learn segmentation statistical-modelling

Last synced: 06 May 2026

https://github.com/radoslawregula/binary-classification-metrics

A model implementing a solution to the binary classification problem along with several accuracy metrics.

binary-classification classification jupyter-notebook machine-learning matplotlib pandas python scikit-learn stochastic-gradient-descent

Last synced: 06 May 2026

https://github.com/billgewrgoulas/recommendation-systems

Algorithms for joke rating prediction using the joke data-set from Kaggle.

algorithm clustering collaborative-filtering machine-learning numpy pandas recommender-system scikit-learn scypi

Last synced: 06 May 2026

https://github.com/erick957/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression

🏠 Predict house prices using advanced regression techniques with this comprehensive analysis and cleaning project, from data loading to model deployment.

data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python

Last synced: 06 May 2026

https://github.com/5hraddha/optimize-oil-well-locations

In the quest for harnessing valuable energy resources, the OilyGiant mining company wants to expand its operations by discovering new oil well locations. To achieve this, a data-driven approach is adopted, leveraging geological exploration data from three distinct regions and employing techniques in data analysis and modeling.

linear-regression numpy pandas scikit-learn supervised-learning

Last synced: 06 May 2026

https://github.com/sabin74/boston_house_prediction

This project aims to predict the median value of owner-occupied homes in Boston suburbs using various machine learning regression models. Multiple regression techniques were applied, including Linear Regression, Decision Tree, Random Forest, Gradient Boosting and dimensionality reduction with PCA. Hyperparameter tuning was performed.

boston-housing-price-prediction hyperparameter-tuning kaggle-dataset pca-analysis python3 regression-models scikit-learn

Last synced: 06 May 2026

https://github.com/ejw-data/ml-playground

Testing the limitations, inabilities, and strengths of models with synthetic data

machine-learning python scikit-learn

Last synced: 06 May 2026

https://github.com/pradeep-r04/spam-email-classification

Spam Email Classification Using NLP and Machine Learning involves building a system to identify and categorize emails as either spam or non-spam (ham). This process typically uses Natural Language Processing (NLP) techniques to analyze and preprocess text data and machine learning algorithms to train a model for classification.

artificial-intelligence machine-learning naive-bayes-classifier nlp pkl python scikit-learn streamlit

Last synced: 06 May 2026

https://github.com/cycle-sync-ai/student-score-analysis

A data-driven student performance analysis project using UCI dataset (396 students, 33 features). Implements machine learning models (K-means, PCA, Decision Tree, Random Forest, Linear Regression) to analyze academic patterns and predict student scores based on lifestyle, health, and study habits.

clustering clustering-algorithm decision-trees feature-engineering learning-management-system linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas pca pickle prediction prediction-algorithm scikit-learn score seaborn student

Last synced: 06 May 2026

https://github.com/lintangwisesa/pdb_mti_ui_lab1_k6

Tugas Lab 1 Pengelolaan Data Besar MTI UI 2023

machine-learning python3 scikit-learn

Last synced: 06 May 2026

https://github.com/barbarpotato/applied-data-science-with-python-specialization

This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network.

data-science matplotlib pandas scikit-learn

Last synced: 06 May 2026

https://github.com/kartheekdama/salary-prediction

This salary prediction model leverages machine learning techniques, including Random Forest, Decision Tree, and Linear Regression, to estimate salaries based on individual attributes such as age, gender, education level, job title, and years of experience. The Random Forest model outperforms the others, achieving the highest R-squared score.

decision-tree exploratory-data-analysis feature-importance linear-regression machine-learning random-forest scikit-learn

Last synced: 06 May 2026

https://github.com/josepablodmg/python--linear-regression-advertising

A linear regression analysis to predict sales based on advertising spending across TV, radio, and newspaper channels. The project includes exploratory data analysis, model training, coefficient visualization, and residual analysis.

advertising data-analysis exploratory-data-analysis linear-regression machine-learning python regression scikit-learn visualization

Last synced: 06 May 2026

scikit-learn Awesome Lists
awesome-python-data-science 382 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 53 Machine Learning 43 General 30 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