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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/mnj-tothetop/english-handwritten-characters-recognizer

A handwritten english character recognizer [0-9, A-Z, a-z] made by using a Dataset of 3409 images. Tensorflow, Keras, Scikit-learn, and OpenCV was used to implement the Convolution Neural Network (CNN). Matplotlib and Seaborn were used to visualize the data.

artificial-intelligence convolutional-neural-networks keras matplotlib opencv-python scikit-learn seaborn tensorflow

Last synced: 18 Apr 2026

https://github.com/27ahmad/movie-recommendation-system

Welcome to the Movie Recommendation System! This project uses Streamlit to provide personalized movie recommendations based on user preferences and similarity.

movie-recommendation numpy pandas python scikit-learn

Last synced: 04 Apr 2026

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

Updates in progress. Jupyter workbooks will be added as time allows.

python python3 scikit-learn

Last synced: 18 Apr 2026

https://github.com/minhtran241/ml-dl-llm-genai

Showcasing ML/DL fundamentals, paper implementations, deep learning models, and other projects. The purpose of this repository is to provide a playground for me to explore and learn about PyTorch, deep learning, and generative AI.

deep-learning generative-ai llm machine-learning paper-implementations pytorch scikit-learn

Last synced: 18 Apr 2026

https://github.com/justsecret123/nba-players-stats-analysis

A quick interactive Notebook to visualize some NBA players stats (points, assists, steals, blocks...) and totals, rankings and comparisons. Feel free to add any player in the .csv data files. 🏀

csv ipython-notebook ipywidgets jupyter-notebook jupyterlab matplotlib pandas python scikit-learn seaborn

Last synced: 18 Apr 2026

https://github.com/gattsu001/telecom-churn-predictor

Predicts which telecom customers are likely to churn with 95% accuracy using engineered features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, stratified 80/20 train-test split, and a two-level ensemble pipeline with soft voting. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.

churn-prediction classification classification-algorithm customer-retention data-science data-visualization feature-engineering joblib jupyter-notebook machine-learning pandas scikit-learn supervised-learning svm

Last synced: 18 Apr 2026

https://github.com/rescurib/random_forest_arduino_uno

Ejemplo de implementación de un clasificador de bosque aleatorio en un Arduino UNO usando scikit-learn y m2cgen.

arduino scikit-learn tinyml

Last synced: 18 Apr 2026

https://github.com/tanim-mishkat/data-science-prediction-model-pds-course-

Diabetes Progression Prediction Using Regression Analysis: This project uses regression analysis in Python to predict diabetes progression based on medical and physiological data. Includes data preprocessing, model training, evaluation, and visualizations.

data-science machine-learning python regression scikit-learn

Last synced: 19 Apr 2026

https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation

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

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

Last synced: 04 Apr 2026

https://github.com/pedroteixeiraw/variational_quantum_circuit_binary_classification

This project focuses on developing a Variational Quantum Circuit capable of performing Binary Classification between two classes: red wine and white wine, based on their characteristics using machine learning.

binary-classification cost-function json machine-learning matplotlib numpy pandas qiskit qiskit-machine-learning quantum-machine-learning scikit-learn training-data variational-circuit

Last synced: 04 Apr 2026

https://github.com/sentinel-ml/sentinel_ai

Machine Learning Model to detect fraud in financial systems

ai python pytorch scikit-learn security security-tools tensorflow

Last synced: 04 Apr 2026

https://github.com/abdul-rafay19/california-housing-price-prediction

This project predicts California housing prices using machine learning regression models, including Random Forests and Decision Trees. It covers data preprocessing, exploratory analysis, model training, and hyperparameter tuning to optimize performance.

decision-trees gridsearchcv linear-regression matplotlib numpy pandas python random-forest randomsearch-cv scikit-learn scipy seaborn

Last synced: 04 Apr 2026

https://github.com/alainlebret/python-et-ia-1

Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN

artificial-intelligence image-processing machine-learning matplotlib numpy python scikit-image scikit-learn

Last synced: 04 Apr 2026

https://github.com/adhadse/hands-on-machine-learning-book-notes-and-practice

This repo holds the Jupyter notebooks and datasets containing notes/comments on things I learned from this book. Feel free to use and learned from them.

data-science deep-learning jupyter-notebooks keras machine-learning python scikit-learn tensorflow

Last synced: 04 Apr 2026

https://github.com/mnitin-reddy/a-b-testing-and-regression-analysis-for-ad-performance-optimization

Analyzed the performance of Facebook and AdWords ads using A/B testing and regression analysis to identify trends, correlations, and cost-effectiveness. Key insights included distribution of clicks and conversions, monthly trends, and cost-per-conversion analysis to optimize ROI.

abtesting data-science hypothesis-testing machine-learning matplotlib numpy pandas scikit-learn scipy seaborn statsmodels

Last synced: 04 Apr 2026

https://github.com/yashsonaar/machine-learning-tasks

This repository has machine learning tasks which include classification, recommendation system, fraud detection system

classification jupyter-notebook machine-learning numpy pandas prediction python scikit-learn testing

Last synced: 04 Apr 2026

https://github.com/anushrey10/fuel_efficiency_predictor

Welcome to the Fuel Efficiency Predictor! This advanced tool uses machine learning to predict your vehicle's fuel efficiency based on various characteristics.

decision-tree gradient-boosting-classifier html-css-javascript linear-regression machile-learning matplotlib python random-forest scikit-learn tailwindcss

Last synced: 18 Apr 2026

https://github.com/chengetanaim/high-school-alcoholism-and-academic-performance

Student Alcoholism and Academic Performance Data Analysis

jupyter-notebook scikit-learn

Last synced: 18 Apr 2026

https://github.com/giacomolat/object-detection-sperimental-thesis-for-degree

In this repository is my experimental thesis work on the recognition of museum works through object detection techniques.

convolutional-neural-networks detectron2 jupyter-notebook machine-learning neural-networks object-detection python pytorch rcnn rcnn-model scikit-learn

Last synced: 18 Apr 2026

https://github.com/eugen-goebel/predictive-analytics-agent

Automated ML pipeline — data profiling, preprocessing, model training, and evaluation report generation

automation data-science docker machine-learning predictive-analytics python scikit-learn streamlit

Last synced: 05 Apr 2026

https://github.com/sundanc/weatherprediction

This project implements a weather prediction system that predicts the temperature based on real-time weather data, including features like humidity, wind speed, and day-related features (day of the week, month

machine-learning machinelearning numpy pandas programming python scikit-learn scikitlearn-machine-learning weather-prediction

Last synced: 18 Apr 2026

https://github.com/akhundmuzzammil/energyconsumptionprediction

This repository contains code and resources for training a linear regression model to predict energy consumption based on various building parameters.

data-analysis energy-consumption linear-regression machine-learning python scikit-learn streamlit visualization

Last synced: 18 Apr 2026

https://github.com/hariprasath-v/machinehack-analytics-olympiad-2022

Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.

catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap

Last synced: 18 Apr 2026

https://github.com/alezoon/movie-revenue-prediction

Sk-learn practice using Linear Regression, ML workflow practice.

jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 05 Apr 2026

https://github.com/simrandalal/semantic-book-recommender

A semantic content-based book recommender using sentence-transformer embeddings, cosine similarity, and a Streamlit interface.

dotenv huggingface-transformers nlp-machine-learning pandas python scikit-learn similarity-search streamlit

Last synced: 05 Apr 2026

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

Flower Prediction is a machine learning project that uses the Iris dataset to classify iris flowers into three species: Setosa, Versicolor, and Virginica. The project includes data analysis, model training with various algorithms, and deployment via a Flask web application for user-friendly predictions.

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

Last synced: 05 Apr 2026

https://github.com/taqsblaze/hush

Hush: A lightweight, context-aware text toxicity classifier. Leveraging NLP and Random Forest ensemble learning to detect and mitigate harmful language in real-time. Built for efficiency, safety, and cleaner digital communication.

content-moderation machine-learning nlp random-forest safety-tools scikit-learn text-classification toxicity-detection

Last synced: 05 Apr 2026

https://github.com/deliprofesor/game-search-volume-prediction-machine-learning-models-and-forecasting

This repository uses machine learning models like Random Forest, XGBoost, LightGBM, and time-series forecasting with Prophet to predict game search volumes. Additionally, Grid Search is applied for hyperparameter tuning of the LightGBM model.

data-cleaning data-science data-visualization feature-selection forecasting-models game-search grid-search hyperparameter-tuning lightgbm machine-learning pandas prophet python random-forest scikit-learn time-series-analysis time-series-forecasting xgboost

Last synced: 18 Apr 2026

https://github.com/malick08012/heart-disease-prediction

A machine learning project that predicts the risk of heart disease based on patient health data. Includes data cleaning, EDA, visualization, model training, evaluation and feature importance analysis

artificial-intelligence heartdisease-prediction logistic-regression machine-learning python scikit-learn

Last synced: 18 Apr 2026

https://github.com/manalisbhavsar/mall-customers-clustering

K-Means clustering to mall customer data, segmenting customers based on their annual income and spending score. To identify patterns and group customers for targeted marketing.

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

Last synced: 18 Apr 2026

https://github.com/jeffandyalltogether/mlrecommendationsystem

project code for a recommendation system for Amazon using collaborative filtering, ranking, and matrix factorization to enhance customer satisfaction and product discovery.

eda matplotlib pandas python scikit-learn seaborn tensorflow

Last synced: 05 Apr 2026

https://github.com/naren1704/ml-approach-for-employee-performance-prediction

A Flask UI that predicts the performance of employee based on the XGBoost trained model.

css flask html python scikit-learn xgboost

Last synced: 05 Apr 2026

https://github.com/yashrajgithub/crop-recommendation

KrishiGyaan is a web app designed to help farmers make informed decisions on crop selection. By analyzing soil and environmental factors, the app provides personalized crop recommendations, enhancing agricultural productivity and promoting sustainable farming practices.

api artificial-intelligence crop-recommendation-system data-preprocessing data-visualization json machine-learning-algorithms pickle python random-forest-classifier scikit-learn streamlit supervised-learning train-test-split user-interface

Last synced: 05 Apr 2026

https://github.com/barek2k2/ml_ruby

Ruby gem uses Machine Learning(ML) techniques to make predictions and classifications, and it's powered by Python3 under the hood.

artificial-intelligence data-science machine-learning pandas prediction python3 ruby ruby-on-rails scikit-learn

Last synced: 05 Apr 2026

https://github.com/emilyfelker/ieee_cis_fraud_detection

Which online transactions are fraudulent? Program that uses various machine learning algorithms to detect fraud.

decision-trees kaggle logistic-regression machine-learning neural-network pandas poetry pytest python scikit-learn sklearn tensorflow xgboost

Last synced: 05 Apr 2026

https://github.com/oadultradeepfield/galaxy10-anomaly-detection

A public API and experimental PyTorch pipeline for anomaly detection in the Galaxy10 DECals dataset using ResNet50, autoencoders, and clustering techniques

flask google-cloud-run kaggle pytorch scikit-learn

Last synced: 05 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_04

Модуль 4. Класифікація та оцінка роботи моделі. Лінійна регресія: перенавчання та регуляризація

lasso-regression linear-regression numpy pandas python red regression ridge-regression scikit-learn

Last synced: 05 Apr 2026

https://github.com/nowon1/insurance-claim-prediction_version

This project aims to predict the insurance claim amounts based on various customer attributes using machine learning techniques. The project involves data preprocessing, exploratory data analysis, feature engineering, and model training and evaluation.

data-preprocessing data-science data-visualization exploratory-data-analysis feature-engineering insurance jupyter-notebook machine-learning numpy pandas predictive-modeling python random-forest regression-analysis scikit-learn

Last synced: 05 Apr 2026

https://github.com/perpendicooler/elementary-research-for-steamboat-willie-s-store-in-poland

An elementary research for a company to opening store in a city using gurobi and pulp optimization.

christofides-algorithm gurobipy numpy pandas pulp python3 scikit-learn travelling-salesman-problem

Last synced: 05 Apr 2026

https://github.com/billy0402/python-machine-learning

A learning project from NTUB machine learning course.

ai course jupyter-notebook python scikit-learn tensorflow

Last synced: 05 Apr 2026

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

Machine Learning python bootcamp: Recommender Systems on movies dataset

ipynb machine-learning numpy pandas python recommender-system scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/thekartikeyamishra/ai-customer-feedback-summarizer

The AI Customer Feedback Summarizer is a Python-based application that processes customer feedback, extracts insights, and summarizes reviews. This basic version uses extractive summarization techniques, and the advanced version integrates advanced sentiment analysis, visualization, and industry-specific fine-tuning.

ai chatbot gpt machine-learning matplotlib nltk pandas python scikit-learn streamlit

Last synced: 18 Apr 2026

https://github.com/vijaykumarr1452/black_friday_sales_analysis

Black Friday Sales Analysis python machine learning project using pandas and scikit-learn for data preprocessing, model training, and performance evaluation.

confusion-matrix jupyter-notebook machine-learning pandas python random-forest-classifier sales-analysis scikit-learn

Last synced: 19 Apr 2026

https://github.com/kheriberto/linear_regression_ecommerce

Simple project showcasing crafting a linear regression model with SciKit Learn

data-analysis jupyter-notebook linear-regression pandas python scikit-learn seaborn

Last synced: 19 Apr 2026

https://github.com/yassin522/heartbeat-categorization

This project is aimed at developing a machine learning model that can accurately classify heartbeats as either normal or abnormal. The model is trained on a dataset of ECG (electrocardiogram) signals, which were collected from patients and labeled by medical professionals.

cnn deep-learning keras machine-learning scikit-learn tensorflow

Last synced: 20 Apr 2026

https://github.com/sulcer/fair-boost-regression

FairBoosting Regression

python scikit-learn

Last synced: 12 Jun 2026

https://github.com/kaladabrio2020/machine-learning-with-pytorch-and-scikit-learn

Progress on the book machine learning with pytorch and scikit-learn

deep-learning implementation machine-learning python3 pytorch scikit-learn

Last synced: 20 Apr 2026

https://github.com/vyjayanthipolapragada/car_mileage_prediction

Predicting the mileage of car using the linear regression model with Scikit-learn

kaggle-titanic linear-regression machine-learning numpy pandas predictive-modeling python scikit-learn

Last synced: 20 Apr 2026

https://github.com/prahaladhchandrahasan/housingprices_adavanced_regression

A machine learning model for "House Prices: Advanced Regression Techniques" kaggle competition.

machine-learning-algorithms matplotlib-pyplot numpy pandas python3 scikit-learn

Last synced: 20 Apr 2026

https://github.com/namratha2301/carprice_analysisandprediction

This project analyzes factors influencing vehicle prices using a dataset of various attributes, including Engine capacity, Power, Mileage, and Seating capacity.

data-analysis data-visualization exploratory-data-analysis machine-learning pandas predictive-modeling random-forest-classifier regression scikit-learn seaborn

Last synced: 20 Apr 2026

https://github.com/bruceunx/ai-simulator

aiplayground 人工智能学习乐园

ai maching-learning scikit-learn

Last synced: 20 Apr 2026

https://github.com/dahsie/spam_classification

Ce fut mon prémier projet NLP où j'ai réalisé la détection de spam en utilisant les algorithmes d'embedding pour encorder mes textes. J'ai utilisé Random Forest et Milti-Layres Perceptrons pour la phase de classification. Ce qui a pemit l'obtension des précisions respective de 97% et 98%. J'ai aussi appris à documenter mes codes via sphinx

doc2vec fasttext-embeddings gensim glove-embeddings python scikit-learn sphinx-doc word2vec-algorithm

Last synced: 20 Apr 2026

https://github.com/grandechowhiskey/harvard-cs50-ai-projects

This project contains a collection of programming assignments from CS50’s Introduction to Artificial Intelligence with Python course.

html python scikit-learn tensorflow

Last synced: 20 Apr 2026

https://github.com/himasnhu-at/freecodecamp--ml

ML Models I built for my freeCodeCamp's Machine Learning with Python certification

freecodecamp freecodecamp-project machine-learning machine-learning-algorithms matplotlib pandas python scikit-learn

Last synced: 20 Apr 2026

https://github.com/tr-3n/-ai-powered-resume-analyzer-multi-source-job-matcher

AI-Powered Resume Analyzer & Multi-Source Job Matcher, is a web application built using Python and Streamlit that helps job seekers find the best job opportunities based on their resume. The app extracts text from uploaded resumes, matches it with job listings from multiple sources, and displays the most relevant jobs.

ai api html-css job job-recommendation job-search jobmatching natural-language-processing pandas pypdf2 python resume-analyzer scikit-learn streamlit web-development

Last synced: 20 Apr 2026

https://github.com/tryomar/data-miner

DataMiner is an interactive web application for data mining and machine learning. It helps users upload, clean, transform, and analyze datasets while building predictive models — all through a simple and powerful Streamlit interface.

data-cleaning data-mining data-preprocessing data-science data-visualization interactive-dashboards pandas python scikit-learn streamlit

Last synced: 20 Apr 2026

https://github.com/alphacrypto246/customer-churn

This project predicts customer churn using machine learning. It includes data preprocessing, exploratory analysis, model training, and evaluation to identify key factors driving churn and provide actionable insights for retention.

knn-classification machine-learning machine-learning-algorithms python scikit-learn scikitlearn-machine-learning

Last synced: 20 Apr 2026

https://github.com/abdel-17/facial-recognition

Facial recognition using Machine Learning in Python

machine-learning pca python scikit-learn

Last synced: 20 Apr 2026

https://github.com/chdl17/lead-score-case-study

Lead scoring is the process of assigning a numerical value or score to each lead, based on factors such as demographics and behavior, to determine their potential value as customers.

machine-learning-algorithms matplotlib-pyplot python scikit-learn

Last synced: 20 Apr 2026

https://github.com/ghufranbarcha/linear-regression-training-app

This project is a Streamlit application that allows users to upload a CSV file, select variables, and train a linear regression model. The app provides an easy-to-use interface for selecting dependent and independent variables, scaling data, applying polynomial regression, and evaluating model performance.

data-science machine-learning python scikit-learn streamlit

Last synced: 20 Apr 2026

https://github.com/adityapradhan202/binge-trend

Media and entertainment recommendation website with AI powered recommendation system.

datascience-machinelearning natural-language-processing python scikit-learn spacy-nlp

Last synced: 21 Apr 2026

https://github.com/yogeshsinghkatoch9/advanced_nyc_housing_price_prediction

A robust ensemble learning framework for advanced NYC housing price prediction, leveraging global, clustered, and local ensembles with hyperparameter tuning.

data-science ensemble-learning housing-prices machine-learning new-york python scikit-learn

Last synced: 21 Apr 2026

https://github.com/sayan-mondal2022/mlops-assignment

A project for validating the Machine learning models

machine-learning scikit-learn streamlit

Last synced: 22 Apr 2026

https://github.com/h-sarhan/hate-speech-classifier

Automatic Detection of Hate Speech and Offensive Content

nlp python scikit-learn

Last synced: 22 Apr 2026

https://github.com/5hraddha/megaline-plan-recommendations

Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate.Megaline has found out that many of their subscribers use legacy plans. They want to develop a model that would analyze subscribers' behavior and recommend one of Megaline's newer plans: Smart or Ultra.

decision-tree-classifier logistic-regression random-forest-classifier scikit-learn supervised-learning

Last synced: 22 Apr 2026

https://github.com/waikato-datamining/spectral-data-converter-sklearn

Scikit-learn plugins for the spectral-data-converter library.

kasperl scikit-learn sdc seppl spectral-data

Last synced: 24 Apr 2026

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

Machine learning model built with Scikit-learn to predict house prices based on various features.

linear-regression machine-learning ml pickle prediction-model scikit-learn scikitlearn-machine-learning

Last synced: 24 Apr 2026

https://github.com/jawwad-fida/data-science-salary-estimator

A tool that estimates data science salaries (MAE ~ $ 11K) to help data scientists negotiate their income when they get a job.

data-science machine-learning project scikit-learn

Last synced: 25 Apr 2026

https://github.com/capsuleismail/parkinsons-telemonitoring-dataset

Dataset used to predict Parkinson’s disease severity based on biomedical voice measurements.

data-science jupyter-notebook machinelearning-python scikit-learn

Last synced: 25 Apr 2026

https://github.com/sarangs1621/weather-prediction

Weather Prediction Using Machine Learning is a project that leverages machine learning algorithms to predict weather conditions based on historical data. It evaluates three popular ML models (Decision Tree, KNN, and Logistic Regression) and provides performance insights through metrics and visualizations.

data-analysis decision-tree jupyter-notebook knn logistic-regression machine-learning predictive-modeling python scikit-learn weather-prediction

Last synced: 25 Apr 2026

https://github.com/bp0609/decision-tree-implementation-from-scratch

This repo contains the decision tree implementation from scratch for all possible cases i) discrete features, discrete output; ii) discrete features, real output; iii) real features, discrete output; iv) real features, real output.

decision-tree-classifier decision-tree-regressor scikit-learn

Last synced: 26 Apr 2026

https://github.com/deliprofesor/cinematic-data-analytics-and-recommendation-platform

This project analyzes a movie dataset using machine learning algorithms to predict success, explore revenue-popularity relationships, and develop recommendation systems. It employs techniques like K-Means, DBSCAN, GMM, decision trees, PCA, and NLP for insights and personalized suggestions.

clustering content-based-recommendation data-analysis data-visualization decision-tree gmm k-means machine-learning natural-language-processing nlp pca predictive-modeling python recommendation-system scikit-learn user-based-recommendation

Last synced: 26 Apr 2026

https://github.com/a-n-i-t-t-a/credit_card_fraud_detection

Fraudulent transactions are a growing concern in the financial sector, and leveraging machine learning can help detect anomalies in real-time. I built a Credit Card Fraud Detection System using the K-Nearest Neighbors (KNN) algorithm, trained on a dataset with key transaction patterns.

flask knn-classifier machine-learning pandas python scikit-learn

Last synced: 27 Apr 2026

https://github.com/leolion3/smartnanotubes-smellinspector-companion

Companion software for the SmellInspector Devices from SmartNanoTubes. Allows specifying substances, connecting multiple devices, collecting data and performing machine learning.

docker machine-learning python3 reactjs scikit-learn smartnanotubes smellinspector

Last synced: 27 Apr 2026

https://github.com/mihirmakwana03/ci7521-cw1-notebook

Multi-class classification on imbalanced data — 8 sklearn classifiers + SMOTE + ROC-AUC benchmarking. Kingston CI7521 CW1.

classification hyperparameter-tuning imbalanced-data machine-learning scikit-learn smote

Last synced: 27 Apr 2026

https://github.com/toscdom/spam_detection

This repository contains a project focused on analyzing and classifying emails to detect SPAM. It includes: Training a machine learning classifier for SPAM detection. Identifying key topics in SPAM emails using NLP techniques. Calculating semantic distances to evaluate topic similarity. Tools used include Python libraries like nlp frameworks

classifier nlp nltk scikit-learn semantic-analysis spam-detection

Last synced: 27 Apr 2026

https://github.com/sundanc/movierecommendation

Movie recommendation system based on user input. Built with Streamlit

movie-recommendation-app python scikit-learn scikitlearn-machine-learning streamlib

Last synced: 27 Apr 2026

https://github.com/davidrpugh/kaust-dsa-201

Course materials for KAUST DSA 201

deep-learning machine-learning pytorch scikit-learn

Last synced: 27 Apr 2026

https://github.com/capsuleismail/spambase

Classifying Email as Spam or Non-Spam with RandomForestClassifier

datascience jupyter-notebook machinelearning-python scikit-learn

Last synced: 28 Apr 2026

https://github.com/tillscode/personal-finance-ml-analysis

Machine learning analysis of personal financial data with predictive modeling and interactive dashboard

dashboard data-analysis finance machine-learning python scikit-learn

Last synced: 28 Apr 2026

https://github.com/renoyegon/customer_segmentation_using_kmeans_clustering

This project applies KMeans clustering to segment customers in the Online Retail II dataset. Using powerful Python libraries such as pandas, scikit-learn, matplotlib, and seaborn, we uncover meaningful customer behavior patterns

kmeans-clustering matplotlib scikit-learn seaborn

Last synced: 28 Apr 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