Data

Tools

Indexes

Applications

Experiments

Awesome

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/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/rririanto/thesis-projects

The computer science thesis project that I worked on when I was a student and was looking for a part time job

bag machine-learning python2 python27 scikit-learn surf

Last synced: 02 Feb 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/mohd-faizy/preprocess_ml

This repository hosts Python code that utilizes the Scikit-learn preprocessing API for data preprocessing. The code presents a comprehensive range of tools that handle missing data, scale data, encode categorical variables, and perform other functions.

data-science feature-engineering feature-engineering-algorithm feature-extraction feature-selection machine-learning outlier-detection preprocessing-data preprocessor scikit-learn

Last synced: 16 May 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/vishal-038/healthcare

The AI Healthcare System is a web-based application that integrates machine learning with Django to assist users in disease prediction, booking appointments with doctors, purchasing medicines, and managing lab tests.

django django-rest-framework pandas scikit-learn sqllite

Last synced: 05 May 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/bilalm04/email-spam-classifier

A machine learning project that classifies emails as spam or not spam using Logistic Regression, with a deployable Flask API for real-time classification.

api flask jupyter-notebook machine-learning matplotlib nlp numpy pandas python scikit-learn

Last synced: 06 Mar 2026

https://github.com/abhay-rudatala/resume-analyzer

Intelligent Resume Analysis System using Machine Learning and NLP. Features TF-IDF + Naive Bayes/SVM classification (90-95% accuracy), SpaCy NER for information extraction, and interactive Streamlit web app with custom UI. Built with Python, Scikit-learn, and deployed on Streamlit Cloud.

classification machine-learning named-entity-recognition nlp portfolio-project python resume-analysis scikit-learn spacy streamlit

Last synced: 06 May 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/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/henriquepmartins/ml-number-prediction

Number prediction using Logistic Regression

logistic-regression machine-learning scikit-learn

Last synced: 15 May 2026

https://github.com/boomerspine/selflearning_chatbot

Self learning chatbot using python

python scikit-learn

Last synced: 10 May 2026

https://github.com/mindlessmuse666/iris-knn

Проект демонстрирует применение алгоритма k-ближайших соседей (KNN) для классификации набора данных Iris. Включает загрузку данных, обучение модели, оценку производительности и визуализацию результатов с использованием библиотек Pandas, Scikit-learn, Matplotlib, Seaborn и Plotly.

algorithm classification data-analysis data-visualization iris-dataset knn lazy-learning machine-learning python scikit-learn

Last synced: 17 Aug 2025

https://github.com/mindlessmuse666/features-scaling

Проект по масштабированию признаков датасета Iris с использованием Python, Pandas, Scikit-learn, Seaborn и Plotly. Включает визуализацию данных, применение различных методов масштабирования и оценку производительности модели логистической регрессии.

data-scaling data-visualization feature-engineering iris-dataset machine-learning pandas plotly python scikit-learn seaborn student-project

Last synced: 16 Jun 2025

https://github.com/nickklos10/Compressive-Strenght-Prediction

This project predicts concrete compressive strength using a neural network regression model built with Keras.

jupyter-notebook keras matplotlib numpy pandas python scikit-learn

Last synced: 12 Mar 2025

https://github.com/aml-hassan-abd-el-hamid/divorce-analysis-and-prediction

Exploratory data analysis and modelling for a dataset that contains questions that couples who got divorced and stayed together answered using Python, pandas, pandas profiling and Scikit learn.

machine-learning pandas-profiling scikit-learn

Last synced: 03 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/andriamahay11master/machinelearning

This project is created to practice supervised ML using the libraries existing in Python

linear-regression multiple-linear-regression python scikit-learn scikitlearn-machine-learning

Last synced: 15 May 2026

https://github.com/joekakone/prostate-cancer-prediction

Predict Prostate Cancer Diagnosis using ML

machine-learning scikit-learn

Last synced: 15 May 2026

https://github.com/alan-oliveir/cnn_digitos_manuscritos

Trabalho final para disciplina Redes Neurais(2023/1) - Rede Neural Convolucional para identificação de dígitos manuscritos.

convolutional-neural-networks jupyter-notebook scikit-learn

Last synced: 08 May 2026

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/raghavendra317/brain-tumor-detection

A deep learning-based project for classifying brain MRI images into Glioma, Meningioma, No Tumor, and Pituitary Tumor using Convolutional Neural Networks (CNNs). This project aims to assist in early tumor detection, improving diagnostic accuracy and healthcare outcomes.

cnn-classification keras numpy opencv scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/j-nobull/noble_ana-500

Apply Advbanced Python programming to data science problems

dash machine-learning-algorithms neural-network numpy pandas plotly scikit-learn tensorflow

Last synced: 03 Mar 2025

https://github.com/barrettotte/anilist-ml

Training a binary classifier model to predict if I would recommend an anime using my Anilist user data.

anilist binary-classification data-visualization machine-learning scikit-learn

Last synced: 15 May 2026

https://github.com/arijit-7612/sms-spam-detection

A deep learning–based SMS Spam Detector built with BiLSTM and Keras TextVectorization. The model classifies messages as Spam or Ham with high accuracy and is deployed on Streamlit for real-time text classification with a clean and interactive user interface.

pandas python scikit-learn seaborn streamlit tensorflow

Last synced: 12 Apr 2026

https://github.com/manishrajmss13/regression_project

A predictive machine learning model to forecast the Algerian Forest Fire FWI using Python, Scikit-learn, and Statsmodels. Includes complete data cleaning and EDA.

data-cleaning-and-preprocessing data-science eda feature-engineering learning-by-doing linear-regression machine-learning python regression scikit-learn statsmodel

Last synced: 09 May 2026

https://github.com/adamouization/superconductors-critical-temperature-predictions-regression

:chart_with_upwards_trend: Machine Learning & Data Visualisation/Processing techniques for predicting the critical temperatures required for different superconductors to conduct electrical current with no resistance.

jupyter jupyter-lab jupyter-notebook machine-learning matplotlib matplotlib-pyplot numpy pandas prediction python python-3 regression regression-algorithms scikit-learn scikitlearn-machine-learning scipy

Last synced: 12 Apr 2026

https://github.com/supriya811106/twitter-sentiment-analysis

Analyzing the mood of tweets! We sort tweets on popular topics into positive, negative, or neutral categories to gauge public opinion. See what Twitter really thinks!

bernoulli-naive-bayes jupyter-notebook matplotlib nlp-machine-learning nltk numpy pandas python scikit-learn seaborn sentiment-analysis text-classification tfidf-vectorizer wordcloud

Last synced: 05 Apr 2026

https://github.com/hrolive/recommendation-systems-ibm

Analyze the interactions that users have with articles on the IBM Watson Studio platform and make recommendations to them about new articles, using various recommendation engines.

machine-learning natural-language-processing pandas python recomendation-system scikit-learn

Last synced: 12 Apr 2026

https://github.com/rubada/machine-learning-with-ruba-dabbas

Advance your skills and start your career here, by taking the online courses on Intuidemy.

course learning machine machine-learning matplotlib matplotlib-pyplot models numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/shreyazh/respire

To deal with Respiratory Challenges

machine-learning matplotlib numpy pandas pillow python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/abdelrahman-amen/housing-price

Predicting housing prices with machine learning regression models. This project implements Linear Regression, Random Forest, and Decision Tree models for accurate predictions.

decision-tree housing-price-prediction linear-regression machine-learning python random-forest regression-analysis scikit-learn

Last synced: 07 May 2026

https://github.com/adam-maz/virtual_screening

Within this repository I present scripts that can be helpful during virtual screening in drug design & development.

clusterization jupyter-notebook k-means-clustering maestro-schrodinger medicinal-chemistry molecular-fingerprints pandas python rdkit scikit-learn scoring-functions virtual-screening

Last synced: 04 May 2026

https://github.com/hrolive/deep-learning-nanodegree

As one of the top 3% students from the first phase, "PyTorch Scholarship Challenge" by Facebook AI, I have earned a full scholarship to Udacity’s Deep Learning Nanodegree program

api-gateway aws aws-lambda aws-sagemaker computer-vision convolutional-neural-networks deep-learning deployment machine-learning natural-language-processing numpy pandas python pytorch scikit-learn

Last synced: 12 Apr 2026

https://github.com/murugavl/crop-prediction

This Crop Prediction System utilizes machine learning to recommend suitable crops based on environmental data. It helps farmers make informed decisions by analyzing factors like soil type and climate. The system aims to enhance agricultural efficiency and productivity.

flask machine-learning python scikit-learn

Last synced: 12 Jun 2025

https://github.com/satyavardhan2k4/medical-insurance-predictor

A linear regression model that predicts medical insurance cost based on the features like age, sex, BMI etc. the dataset values is based in US

machine-learning pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/smusab9152/bpm_pred_songs

ML project to predict the Beats Per Minute (BPM) of a song using various audio features. This is a submission for the Kaggle Playground Series (S04E02). The notebook covers a full data science workflow, including EDA, handling skewed data with log transformations, feature scaling, and building various regressions

data-science jupyter-notebook kaggle-competition machine-learning pandas regression scikit-learn

Last synced: 11 May 2026

https://github.com/santiago-giordano/datascienceproject

Data Science Course Project: Causes of death around the world

apis jupyter-notebook matplotlib pandas python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/mianmharoon/sentimentanalysis_coreml_emotionclassifier

Emotion classification iOS app using CoreML and SwiftUI – demo for sentiment and emotion analysis, with the model converted from Scikit-learn using coremltools.

ai coreml coreml-models emotionclassification ios machinelearning nlp python3 scikit-learn sentimentanalysis swift swiftui

Last synced: 12 Apr 2026

https://github.com/ramanpreet6262/ml_internity

Repository of code implimentations of various machine learning algorithms in my Internity Internship.

matplotlib numpy pandas python scikit-learn

Last synced: 06 Apr 2026

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

This project utilized Python and scikit-learn libraries to train and evalute a Machinge Learning model based on loan risk.

machine-learning numpy pandas-dataframe python scikit-learn

Last synced: 12 Apr 2026

https://github.com/leftcoastnerdgirl/deep_learning

This project introduces neural networks, deep learning, and Tensorflow.

deep-learning jupyter-notebook neural-networks pandas-python scikit-learn tensorflow

Last synced: 04 May 2026

https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis

This research project uses machine learning techniques and neural network to uncover key factors that contribute to successful protein structure discovery using Python and R

classification clustering ipython-notebook jupyter-notebook keras-neural-networks keras-tensorflow machine-learning neural-network numpy python r rmarkdown scikit-learn scipy tensorflow

Last synced: 02 Feb 2026

https://github.com/sauravokos/deep-learning

Repository on private project concerning Deep Learning through multilevel neural networks

keras numpy pillow python python-3-5 scikit-image scikit-learn scipy tensorflow tensorflow-examples tkinter tkinter-graphic-interface

Last synced: 02 Apr 2026

https://github.com/jobanjps089/mental_wellness

This project is a Flask web application that predicts mental wellness levels based on lifestyle factors such as screen time, sleep hours, and work-related screen exposure. It uses a Machine Learning model trained in Google Colab and deployed via Hugging Face Spaces for public access.

flask joblib puthon3 scikit-learn

Last synced: 16 May 2026

https://github.com/giwiro/simple-classifier

Simple TF-IDF + Logistic Regression in scikit learn pipeline

logistic-regression python3 scikit-learn tfidf

Last synced: 01 Jul 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/mpolinowski/scikit-wine-quality

Predicting Wine Quality with Several Classification Techniques using SciKit Learn.

feature-classifiers python scikit-learn

Last synced: 18 May 2026

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: 12 Apr 2026

https://github.com/lefteris-souflas/ai-fashion

"DressMeUp" project utilizes fashion images and color combinations to achieve image classification for clothing combinations. Algorithms include SGD (SVM), Passive Aggressive Classifier, ResNet50 CNN, and EfficientNetV2-S CNN with K-Means for color analysis. Achieved accuracy exceeds 90%. Built with Python, Scikit-Learn, TensorFlow, and Streamlit.

business-idea cnn-classification efficientnetv2 image-classification k-means-clustering machine-learning outfit-matching outfit-planner passive-aggressive-classifier python3 resnet-50 scikit-learn sgd-classifier sqlite3 streamlit tensorflow2

Last synced: 02 May 2026

https://github.com/francislauriano/chatsoftex

Plataforma desenvolvida em Python que visa automatizar e agilizar o processo de avaliação de projetos de inovação tecnológica, utilizando inteligência artificial e critérios padronizados com base na Lei do Bem.

cryptography fernet firebase flask flask-jwt-extended hugging-face-transformers numpy openai pdfplumber postgresql pyjwt pymupdf-fitz pypdf2 python pytorch scikit-learn scipy spacy sqlalchemy tensorflow

Last synced: 03 Apr 2026

https://github.com/mpoojithavigneswari/sentiment-analysis

The primary goal of this project is to build a sentiment analysis model that can predict the sentiment of a given review (positive or negative).

deep-learning keras machine-learning nlp python rnn-lstm scikit-learn tensorflow

Last synced: 04 Feb 2026

https://github.com/hariprasath-v/hackerearth_get-a-room-ml-hackathon

Build a Machine Learning model to identify the habitability score of the property based on the property's basic information and location-based information.

exploratory-data-analysis machine-learning numpy pandas pycaret python randomforestregressor regression scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/michal-wrzosek/real-estate-price-prediction

WREPPA - Warsaw Real Estate Price Prediction App (Machine Learning)

flask jupyter-notebook machine-learning neural-network node-js real-estate scikit-learn

Last synced: 12 Apr 2026

https://github.com/hariprasath-v/zindi_umojahack-india-income-prediction-challenge

Create a machine learning model to predict whether an individual earns above 50,000 in a specific currency or not.

catboost-classifier classification exploratory-data-analysis f1-score matplotlib numpy pandas python scikit-learn seaborn shap zindi

Last synced: 13 Apr 2026

https://github.com/mathealgou/ml-jobs

This project is a machine learning exercise, the application receives a set of skills from the user and returns a job title that matches the skills entered. It uses the Random Forest algorithm to make the prediction base on a jobs dataset.

machine-learning python random-forest-classifier scikit-learn

Last synced: 23 Jun 2026

https://github.com/lexxai/goit_python_ds_hw_06

Модуль 6. Навчання без вчителя.  Кластерізація. KMeans. Principal Component Analysis

dbscan-clustering hdbscan-clustering kmeans kmeans-clustering opentsne optics-clustering pca python scikit-learn tsne

Last synced: 18 Apr 2026

https://github.com/markdouthwaite/py-lingo

Utilities for helping you deploy Scikit-Learn models in Go (with lingo!)

hdf5 linear-models scikit-learn

Last synced: 25 Feb 2026

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

A complete Movie Recommendation System project implementing Popularity-Based, Content-Based, and Collaborative Filtering models using the MovieLens dataset. Built with Python, Pandas, and Plotly, featuring interactive inputs and visualizations.

capstone-project collaborative-filtering content-based-filtering data-science data-visualization edureka jupyter-notebook machine-learning movie-recomendation-system movielens pandas popularity-based-filtering python recommender-system scikit-learn sql

Last synced: 13 Apr 2026

https://github.com/leticiamilan/formacao-python-developer-dio

Formação Python Developer - Digital Innovation One

django flask pandas pymongo python scikit-learn sqlalchemy sqlite

Last synced: 06 Apr 2026

https://github.com/murugavl/loan_approval_prediction

This project is a Loan Approval Prediction System that uses Machine Learning to determine whether a loan application should be approved or rejected based on various factors. It is deployed using Streamlit for an interactive user experience.

jupyter-notebook machine-learning numpy pandas python random-forest-classifier scikit-learn stremlit

Last synced: 13 Apr 2026

https://github.com/haekalsetiawan/banana-quality-ml-analysis

The Banana Quality Analysis ML project classifies the quality of bananas using machine learning. By analyzing banana images and relevant features, the model categorizes bananas into quality tiers. Key stages include data preprocessing, feature extraction, model training, and evaluation, resulting in high accuracy.

pandas python scikit-learn

Last synced: 07 May 2026

https://github.com/renatomaynard/supervised-machine-learning-models-pytorch-sklearn

This repository provides a comprehensive implementation of supervised machine learning models using PyTorch and Scikit-learn. It includes end-to-end workflows for both classification and regression tasks, covering data preprocessing, model training, evaluation, and comparison between traditional ML models

applied-machine-learning classification data-preprocessing deep-learning feature-engineering machine-learning ml-models ml-pipeline model-comparison model-evaluation python pytorch regression scikit-learn supervised-learning-algorithms

Last synced: 10 May 2026

https://github.com/alphacrypto246/stock-price-movement-prediction

A project leveraging Polynomial Regression to predict stock price movements based on historical data. Includes data preprocessing, feature engineering, visualization, and model evaluation to provide insights for informed trading decisions.

machine-learning numpy pandas polynomial-regression scikit-learn yfinance

Last synced: 13 Apr 2026

https://github.com/imnotannamaria/ia-ml-scikit-learn

Learning tradicional machine learning with scikit-learn.

numpy pandas python scikit-learn seaborn

Last synced: 06 Apr 2026

https://github.com/vikneshsrv24/customer-segmentation

Segregation of customers based on purchasing pattern for targeted marketing.

jupyter-notebook matplotlib pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/jtorrescarbajal/ev-charger-accessibility-analysis

Capstone project analyzing EV charger sufficiency and equity across ZIP codes on the U.S. West Coast using Python and public datasets.

jupyter-notebook python scikit-learn wilcoxon-signed-rank

Last synced: 18 Apr 2026

https://github.com/mathewvieira/sistemas-de-apoio-a-decisao-av1

Cadeira de Sistemas de Apoio à Decisão - VP1 - UNI7

knn-algorithm pandas python scikit-learn streamlit

Last synced: 13 Apr 2026

https://github.com/smaddanki/data-science

Code blocks, algorithms, and research snippets in Data Science, Machine Learning, AI & Quant Finance.

deep-learning machine-learning pytorch scikit-learn spark

Last synced: 13 Apr 2026

https://github.com/vishal-verma-96/Pre-Owned-Car-Price-prediction-using-Streamlit-App

Capstone Project by skill Academy- Exploratory Analysis, Visualization and Prediction of Used Car Prices. Deploying the highest-scoring model with Streamlit web app

data-analysis data-science jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python3 regression-algorithms scikit-learn seaborn streamlit

Last synced: 02 Mar 2025

https://github.com/afifahhadie/wine-clasificassion

This project focuses on classifying different types of wine using machine learning techniques. The dataset contains various chemical properties of wines, which are used as features to predict the wine class.

classification data-science data-visualization jupyter-notebook machine-learning machine-learning-algorithms pandas scikit-learn wine-dataset

Last synced: 13 Apr 2026

https://github.com/ironlegion88/media_bias

An end-to-end NLP pipeline to analyze ideological bias in online news media during elections. Uses sentiment analysis, topic modeling (LDA/NMF), and NER to quantify media framing.

data-analysis machine-learning media-bias nlp nltk political-science python scikit-learn sentiment-analysis spacy topic-modeling

Last synced: 13 Apr 2026

https://github.com/ssreeramj/hackerearth-exhibit-art

This is my solution to the HackerEarth Exhibit Art Machine Learning Challenge

gradient-boosting machine-learning pandas regression scikit-learn

Last synced: 20 Apr 2026

https://github.com/karimosman89/credit-scoring

Evaluate the creditworthiness of individuals.Develop a credit scoring model that evaluates the creditworthiness of individuals based on historical data.Help financial institutions assess risk more accurately.

decision-trees ensemble-methods logistic-regression pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/souravxbera/credit-card-approval-predictor

End-to-end Machine Learning project to predict credit card approval decisions using real-world financial features. Includes EDA, model training, and deployment-ready architecture

credit-card-approval-prediction data-analysis machine-learning python scikit-learn streamlit

Last synced: 15 May 2026

https://github.com/rahulb813/mvscr

An alternative movie recommendation system for the CineMatchSM with better predictions. Trained with a Kaggle dataset of over 450000+ entries.

gridsearchcv knn python scikit-learn scipy-sparse svd tensorflow xgboost

Last synced: 07 May 2026

https://github.com/nurulashraf/polynomial-regression-manufacturing

A Python project implementing polynomial regression to analyse and predict manufacturing-related data. Features include data preprocessing, model training, and visualisation of results. Ideal for exploring machine learning applications in manufacturing process optimisation.

data-analysis data-visualization machine-learning manufacturing polynomial-regression predictive-modeling process-optimization python regression-models scikit-learn

Last synced: 16 Apr 2026

https://github.com/ejw-data/ml-clustering-crypto

Compares several machine learning clustering models to determine whether the currencies can be logically classified based on the given data

clustering python scikit-learn

Last synced: 13 Apr 2026

https://github.com/chirindaopensource/strapsim_portfolio_similarity_metric

End-to-End Python implementation of STRAPSim: a novel portfolio similarity metric from Li et al. (2025). Combines Random Forest proximity learning with residual-aware bipartite matching to quantify economic substitutability between ETF baskets. Full replication pipeline included.

asset-management bipartite-matching corporate-bonds etf-analysis fixed-income jupyter-notebook machine-learning numba pandas portfolio-optimization portfolio-similarity proximity-matrix python quantitative-finance random-forest research-replication scikit-learn similarity-metrics statistical-analysis supervised-learning

Last synced: 28 Apr 2026

https://github.com/jingjing-jin/Purchase-Behavior-Analysis

Purchase Behavior Analysis for Targeted Customer Segmentation

clustering-algorithm data-mining machine-learning python scikit-learn

Last synced: 02 Apr 2025

https://github.com/mahdimotamedi/ai-examples

AI Examples Repository showcasing machine learning and deep learning examples using Scikit-Learn and TensorFlow.

ai deep-learning machine-learning nerual-networks scikit-learn tensorflow

Last synced: 13 Apr 2026

https://github.com/karimosman89/fraud-detection

Identify fraudulent transactions.Develop a machine learning model that can identify fraudulent transactions in credit card data or insurance claims.Show how your model can reduce financial losses by flagging suspicious activities.

anomaly-detection lightgbm pandas python scikit-learn xgboost

Last synced: 13 Apr 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