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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/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/jatin-mehra119/churn_modeling

This repository is dedicated to predicting customer churn using machine learning techniques. It includes comprehensive scripts for data preprocessing, model training, and evaluation, along with detailed visualizations and insights.

classification-model datavisualization pandas scikit-learn

Last synced: 08 May 2026

https://github.com/connergroth/timbrality

Hybrid music recommender combining NMF collaborative filtering, two-tower content embeddings, audio feature synthesis, and meta-learning fusion for adaptive personalization.

beautifulsoup cloudscraper docker fastapi lastfm-api machine-learning music postgresql python pytorch redis scikit-learn spotify-api supabase

Last synced: 13 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/mahdibehoftadeh/polynomial-regression-co2-emissions

A simple machine learning polynomial regression using a large dataset to learn and predict CO2 emission of a car by its built features like engine size and cylinders

machine-learning matplotlib numpy nural-network pandas polynomial-regression python scikit-learn

Last synced: 22 Feb 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

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

https://github.com/serdaraydem1r/10dayaichallenge101

In the 10-day camp, we experienced the basics of machine learning by coding

artificial-intelligence machine-learning-algorithms model-evaluation-and-selection scikit-learn

Last synced: 28 Apr 2026

https://github.com/lmriccardo/moments-learning

Repository for the First-Second Moments Learning project. In this repo you will find an implementation of a learning model to learn the relationship between time-series model parameters and the first two moments of its outputs

machine-learning mean mlp-regressor models random-forest scikit-learn time-series torch variance

Last synced: 28 Apr 2026

https://github.com/mpolinowski/local-linear-embedding

Improve Data Quality by discarding non-correlating, noisy Dimensions

locally-linear-embedding pyplot python scikit-learn

Last synced: 08 May 2026

https://github.com/hai4320/ml_ai_notebook

All my note about ML, AI and Data Science

ai machine-learning numpy pandas scikit-learn

Last synced: 28 Apr 2026

https://github.com/dwade-eng/amazon-product-recommender-prototype-

This project is a content-based product recommendation engine inspired by Amazon's "Customers who viewed this item also viewed" feature. It uses a dataset of product metadata and user interactions to suggest similar items based on product titles, brands, and categories using TF-IDF vectorization and cosine similarity.

html numpy pandas python3 scikit-learn

Last synced: 28 Apr 2026

https://github.com/ronverse17/loan-recovery-strategy

End-to-end ML project for predicting high-risk borrowers and recommending recovery actions

classification data-science kmeans-clustering machine-learning matplotlib random-forest-classifier scikit-learn seaborn

Last synced: 28 Apr 2026

https://github.com/emmanuelletocs/steam-game-recommender

A powerful recommendation system for Steam games, combining Content-Based and Collaborative Filtering techniques. Built with Python, Scikit-learn, and Streamlit to deliver accurate, real-time game recommendations. Perfect for gamers and data scientists interested in building intelligent recommendation engines.

als-algorithm data-analysis gaming-industry knn machine-learning mds mysql ncf neural-network pyspark recommendation-engine recommendation-system scikit-learn spark

Last synced: 28 Apr 2026

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/rajivaleaakash/customer-churn-prediction

A machine learning project focused on predicting customer churn using various data analysis and modeling techniques. The repository includes data preprocessing, feature engineering, exploratory data analysis (EDA), model training, evaluation, and visualization to help businesses identify customers at risk of leaving.

churn-prediction classification customer-churn data-analysis data-science gridsearchcv imblearn machine-learning numpy pandas pyhton randomsearchcv scikit-learn

Last synced: 28 Apr 2026

https://github.com/brenofariasdasilva/dagster-education-model

Dagster Education Model using Dagster 1.3.11 and Python 3.7.17.

dagster makefile matplotlib pandas pyenv python3 scikit-learn seaborn shellscript

Last synced: 28 Apr 2026

https://github.com/akash-47-tank/predictive-customer-churn-analyzer

A professional-grade customer churn prediction system that not only predicts customer churn but also provides clear explanations for the predictions. Built with Python, XGBoost, and SHAP.

machine-learning pandas python scikit-learn shap streamlit xgboost

Last synced: 28 Apr 2026

https://github.com/findthehead/pentestpayload

A KNN algorithm based Web Application Payload search and modification engine with a nice red FLASK based GUI

knn-classification knn-regression machine-learning pentest-tool scikit-learn websecurity

Last synced: 28 Apr 2026

https://github.com/samkazan/fraud-detection-ml

Machine learning models for enhanced fraud detection in e-commerce transactions, exploring feature engineering, distance prediction, and clustering analysis.

clustering data-science data-visualization dataanalytics dbscan eda hierarchical-clustering kmeans-clustering knn-imputer matplotlib mlxtend python scikit-learn seaborn xgboost

Last synced: 08 May 2026

https://github.com/catcoder27/ai-portfolio

Reusable ML scaffold: notebooks, model cards, reports

data-science kaggle machine-learning pandas scikit-learn

Last synced: 28 Apr 2026

https://github.com/incalculable-driverslicence975/data-projects-portfolio

📊 Showcase data projects that highlight analytics, machine learning, and MLOps with reproducible code and clear business insights.

ai computer-vision dashboard data-science-projects data-visualization deep-learning etl excel finance hadoop hiveq keras machine-learning nlp pandas portfolio-project scikit-learn tableau-dashboards

Last synced: 28 Apr 2026

https://github.com/nexus69420/movie-recommender-streamlit

A hybrid movie recommendation system that combines content-based filtering using NLP and collaborative filtering using SVD. Built with Python, Streamlit, and trained on TMDB and MovieLens data. Delivers personalized recommendations with a simple web interface.

collaborative-filtering content-based-recommendation data-science machine-learning nlp python recommendation-system scikit-learn streamlit svd

Last synced: 28 Apr 2026

https://github.com/arnab-0053/song-identifier

It identifies songs and artists from lyric snippets using two distinct methods - simple NLP based approach and BM25(Best Match 25) approach.

bm25 nlp nltk python rank-bm25 scikit-learn song-lyrics spotify-dataset text-preprocessing

Last synced: 28 Apr 2026

https://github.com/icejan/predicton-systems

Various systems that train on data and generate a prediction

lightfm machine-learning numpy python scikit-learn

Last synced: 08 May 2026

https://github.com/abhi227070/car-price-prediction

This project implements a machine learning model to predict the price of cars based on various features such as mileage, manufacturing date, fuel type, and more. Users can input car information, and the model will estimate the price of the car based on the provided data. This tool can be useful for both car buyers and sellers to estimate car price.

data-analysis machine-learning machine-learning-algorithms machinelearning python3 regression regression-models scikit-learn scikitlearn-machine-learning

Last synced: 28 Apr 2026

https://github.com/razalkr70/customer-segmentation-using-dataset

A data science project that segments mall customers using K-Means clustering. Based on age, income, and spending score, it identifies customer groups and visualizes them with 2D and 3D plots for targeted marketing insights.

clustering customer-segmentation data-science data-visualization kmeans machine-learning pca python scikit-learn

Last synced: 28 Apr 2026

https://github.com/rakibhhridoy/customersegmentation-clustering

Customer segmentation heavily use in business purpose. It is needed skill for business intelligence and applied machine learning engineer. This represent quite basic way the customer segmentation is done. In python the task is quite easy to do.

agglomerative-clustering clustering-algorithm customer ecommerce kmeans-clustering machine-learning scikit-learn scikitlearn-machine-learning segmentation unsupervised-learning unsupervised-machine-learning

Last synced: 28 Apr 2026

https://github.com/senaldolage/spam-text-classifier

A simple machine learning project to classify whether a given text message is spam or not

python scikit-learn

Last synced: 28 Apr 2026

https://github.com/tom-uchida/introduction_to_machine_learning

Machine learning private lesson.

machine-learning scikit-learn

Last synced: 28 Apr 2026

https://github.com/arizdn234/spotify-api-with-colab

Crawling, Analyzing, Clustering music data from Spotify API

machile-learning scikit-learn spotify-api spotipy-library

Last synced: 28 Apr 2026

https://github.com/belsabbagh/employee-turnover-and-customer-churn-classification

A data science project that tests mutliple models on an employee tunronver and customer churn problem

machine-learning pandas python scikit-learn

Last synced: 28 Apr 2026

https://github.com/alessine/predicting_pirate_attack_success

Using machine learning to predict the success or failure of pirate attacks; elaborated during the Data Science Bootcamp at Propulsion Academy

bokeh fine-tuning interactive-visualizations machine-learning modelling overfitting plotly prediction scikit-learn

Last synced: 28 Apr 2026

https://github.com/seyha1007/amazon-reviews-analysis

🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.

acp amazon-reviews bert data-analytics glove jupyter-notebook lstm-sentiment-analysis machine-learning nltk random-forest scikit-learn sentiment-classification sentimental-analysis support-vector-machine

Last synced: 08 May 2026

https://github.com/michaelzheng67/ml_classification_optimizer

Algorithm that determines best machine learning classification model to use for a given dataset. Written in Python.

classification machine-learning python scikit-learn

Last synced: 29 Apr 2026

https://github.com/thekartikeyamishra/interactive-ai-model-trainer

A Google Colab notebook for interactively training simple AI/ML classification models. Features CSV upload, dummy data generation, feature/target selection, model choice, and basic evaluation. Includes a user-friendly UI. Ideal for educational purposes. See screenshots below!

google googlecolab ipywidgets matpl numpy pandas python scikit-learn seaborn

Last synced: 29 Apr 2026

https://github.com/skypse/santander-coders-data_science-course

Curso de Data Science, proposto pelo Satander, utilizando Python!

jupyter-notebook numpy pandas-python python scikit-learn

Last synced: 29 Apr 2026

https://github.com/cserajdeep/elm-python-iris

Different Python implementations of Extreme Learning Machine (ELM) on Iris dataset

ann elm iris python scikit-learn

Last synced: 29 Apr 2026

https://github.com/jarif87/text-key-extractor

A Django web app that uses TF-IDF to extract keywords from text, featuring a modern, responsive UI with animated gradients and glassmorphism.

django-application keywords-extraction pandas python scikit-learn

Last synced: 29 Apr 2026

https://github.com/shibin08/sentiment-analysis-movie-reviews

A sentiment analysis project on IMDb movie reviews using Natural Language Processing (NLP) techniques. Text data is cleaned, vectorized using TF-IDF, and classified using machine learning models like Logistic Regression and Random Forest. Achieved high accuracy in distinguishing positive and negative reviews.

logistic-regression machine-learning movie-reviews natural-language-processing random-forest scikit-learn sentiment-analysis text-classification tf-idf

Last synced: 29 Apr 2026

https://github.com/pymc-learn/pymc-learn-sphinx-theme

Sphinx theme for Pymc-learn documentation

pymc3 pymc4 scikit-learn sphinx sphinx-theme

Last synced: 29 Apr 2026

https://github.com/vaishnavijain25/pca-based-digit-classification

A machine learning project that uses Principal Component Analysis (PCA) for dimensionality reduction and Logistic Regression for classifying handwritten digit images from the scikit-learn digits dataset.

digit-recognition dimensionality-reduction image-classification logistic-regression machine-learning pca-analysis scikit-learn

Last synced: 29 Apr 2026

https://github.com/christopherkindl/spotify-artist-success

Predicting artists’ success by using machine learning approaches on features identified in spotify data

pandas scikit-learn

Last synced: 29 Apr 2026

https://github.com/m-muecke/text-normalizer

Text normalizer integration for sklearn.pipeline.Pipeline class

nlp nltk python scikit-learn

Last synced: 29 Apr 2026

https://github.com/fx31337/predict_zigzag

Prototype code to predict zigzag pattern prices.

machine-learning ml scikit-learn

Last synced: 29 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/adnanrahin/sentiment_classification_logistic_regeression

Sentiment Analysis extracts subjective information in the source material. It's widely used in modern business, to understand the business module, product quality and consumer point of view regarding the products or the business.

logistic-regression machine-learning natural-language-processing preprocessing python3 scikit-learn

Last synced: 29 Apr 2026

https://github.com/labex-labs/supervised-learning-regression

Supervised Learning: Regression | This repo collects 7 of programming labs exercises for Supervised Learning: Regression. Supervised learning. If you are hearing or reading this term for the first time, then it may be completely unclear what it means. Don't worry. In this lab, you will get a comp...

challenges course exercises hands-on labex labs machine-learning playgroud programming scikit-learn

Last synced: 08 May 2026

https://github.com/gustaminas/ai_primer---flatland

A project from the AI_primer course at Vilnius university.

cnn-keras data-augmentation data-mixup dropout-keras scikit-learn shape-classification

Last synced: 29 Apr 2026

https://github.com/aasjunior/mlapp-api

Esta API fornece endpoints para aplicar algoritmos de aprendizado de máquina, como K-Nearest Neighbors (KNN), Árvore de Decisão e Algoritmo Genético. Realizado como tarefa da disciplina de Laboratório Mobile/Computação Natural no 5º Semestre de Desenvolvimento de Software Multiplataforma.

fastapi machine-learning python scikit-learn

Last synced: 09 May 2026

https://github.com/mateluky/covid19-patient-status-prediction

Machine learning model to predict COVID-19 patient status from clinical data, using Python and scikit-learn for healthcare decision support.

classification clinical-decision-support covid19 data-science disease-prediction healthcare jupyter-notebook machine-learning medical-data open-source python scikit-learn

Last synced: 29 Apr 2026

https://github.com/ahmed122000/ml_model_deployment

The HR Analytics: Job Change Predictor is a Flask-based web application that uses machine learning to predict whether an employee will stay with a company or leave. It allows users to train models, evaluate their performance, and make predictions based on employee data, providing valuable insights for HR decision-making.

classification flask machine-learning python3 rest-api scikit-learn

Last synced: 09 May 2026

https://github.com/saikumar787/car_price_prediction_using_linear-regression

A machine learning project to predict the selling price of used cars using regression techniques. Includes data preprocessing, model training, evaluation, and testing on new data.

car-price-prediction-with-machine-learning data-analysis joblib jupiter-notebook linear-regression-models model-deployment python scikit-learn standardscaler

Last synced: 29 Apr 2026

https://github.com/inclinedadarsh/regression-metrics

A simple jupyter notebook demonstrating how to use different metrics from 'scikit-learn' library.

jupyter-notebook machine-learning notebook scikit-learn

Last synced: 29 Apr 2026

https://github.com/anrsgrl/regressions

This project contains examples of Linear, Polynomial, and Logistic Regression models implemented using Python. Explore how different regression techniques can be applied to various datasets 🤖

deep-learning linear-regression logistic-regression mahine-learning polynomial-regression regression scikit-learn

Last synced: 29 Apr 2026

https://github.com/nahom32/mlp-assignment

This repository is an implementation for machine learning assignment demonstrating the machine learning process.

eda logistic-regression machine-learning scikit-learn

Last synced: 29 Apr 2026

https://github.com/pdoup/ml-codes

Python source files and notebooks for the Machine Learning course weekly tasks

machine-learning scikit-learn

Last synced: 29 Apr 2026

https://github.com/andreaschatzopoulos/face-landmark-detector

Facial landmark detection using HOG features and Ridge Regression. Simple, effective, and fast – no deep learning required.

computer-vision face-detection hog image-processing landmark-detection python ridge-regression scikit-learn

Last synced: 29 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/karimosman89/energy-consumption-forecasting

Predict future energy consumption based on historical data.Create a model that predicts energy consumption in households or businesses to optimize energy distribution and reduce costs.Assist energy companies in planning and managing supply efficiently.

arima lstm matplotlib pandas python scikit-learn

Last synced: 29 Apr 2026

https://github.com/matheusvazdata/retail-sales-forecast-linreg-sklearn

Minimal project for retail sales forecasting using linear regression (scikit-learn).

forecasting linear-regression machine-learning matplotlib numpy pandas scikit-learn

Last synced: 29 Apr 2026

https://github.com/henriqueotogami/imersao-dados-3-alura

Terceira edição da Imersão Dados da Alura (03 a 07/05/21). O projeto dessa edição foi inspirado em um desafio do Laboratory Innovation Science at Harvard disponibilizado no Kaggle.

alura bioinformatics data-science drug-discovery google-collab harvard-university imersaodados jupyter-notebook kaggle-challenge laboratory-innovation-science matplotlib pandas python3 scikit-learn seaborn

Last synced: 29 Apr 2026

https://github.com/l1ght14/customer-churn-prediction

Predict customer churn using machine learning models like Logistic Regression and Random Forest. Includes data preprocessing, model evaluation, feature importance, and insights to drive retention strategies.

churn-prediction classification customer-churn customer-churn-prediction data-analysis logistic-regression machine-learning python random-forest scikit-learn telecom

Last synced: 09 May 2026

https://github.com/karmaniket/gtavcontrol

created dataset using different hand gestures and trained the ML model for in-game real time control for GTA V. Have fun!

gaming gta5 machine-learning mediapipe opencv python3 scikit-learn

Last synced: 29 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/mertafacan/fertilizer-prediction-kaggle-playground-s05e06

Top 9% in Kaggle Playground Series - Predicting Optimal Fertilizers - Season 5, Episode 6

catboost kaggle kaggle-competition machine-learning optuna scikit-learn xgboost

Last synced: 29 Apr 2026

https://github.com/mukeshthenraj/fraud-detection-model

Logistic Regression, Grid Search, and ROC-PR curve evaluation on fraud detection dataset

classification fraud-detection machine-learning numpy pandas scikit-learn

Last synced: 29 Apr 2026

https://github.com/diestok/bmlb2025

Material for the BMLB2025 course

classification keras learning machine regression scikit-learn

Last synced: 29 Apr 2026

https://github.com/mayankanand007/yfraud

Credit card fraud detection platform using scikit-learn and xgboost 💳

knearest-neighbor-algorithm linear-regression machine-learning predictive-analytics python3 scikit-learn svm xgboost

Last synced: 09 May 2026

https://github.com/xbants/recommendation-api

🎬 Intelligent movie recommendation system with FastAPI backend, Streamlit frontend, and collaborative filtering ML. Rate movies, get personalized suggestions, and enjoy automatic model retraining.

fastapi machine-learning movie-recommedation python3 scikit-learn streamlit

Last synced: 29 Apr 2026

https://github.com/shahzadmustafa15/credit-card-fraud-detection

Credit card fraud detection using Random Forest with Stratified K-Fold cross-validation and F1-score evaluation.

classification confusion cross-validation f1-score fraud-detection imbalanced-data kaggle machine-learning python random-forest scikit-learn

Last synced: 29 Apr 2026

https://github.com/tasnimtalha09/la-crime-analysis-from-2020-to-2025

As part of an academic project, this analysis dig into the crime statistics of Los Angeles Police Department (LAPD) from the year 2020 till 2025.

jupyter jupyter-notebook jupyter-notebooks machine-learning matplotlib pandas python python-3 python3 scikit-learn seaborn sklearn

Last synced: 29 Apr 2026

https://github.com/nikhil-donthusaram/loanapprovalprediction-randomforest

A machine learning web app built using Random Forest Classifier to predict whether a loan will be approved or not based on applicant details. Built with Python, Streamlit, and scikit-learn.

classification jupyter-notebook machine-learning python random-forest scikit-learn streamlit vscode

Last synced: 29 Apr 2026

https://github.com/hexbyte-lab/resumatch

AI-powered resume-to-job matching tool with NLP analysis | Python + Flask + Machine Learning

cosine-similarity flask job-search machine-learning nltk portfolio-project python resume scikit-learn tfidf

Last synced: 29 Apr 2026

https://github.com/tbarlow12/learn-it-your-way

Using Python Flask, I wanted to create a simple web API that allows users to upload a dataset, choose one or more models, store them server side, and then hit an endpoint to get a prediction.

flask machine-learning python scikit-learn tensorflow

Last synced: 29 Apr 2026

https://github.com/jarif87/dna-based-identification-of-e.coli

Django web app predicting E. coli in DNA sequences using a machine learning model, with a responsive interface and client-side validation. Files generated by project.py.

classification django-application dna-sequences html-css-javascript mlp-classifier python3 scikit-learn

Last synced: 29 Apr 2026

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/abhinav330/instagram-influencers-analysis

This Jupyter Notebook focuses on preprocessing and visualizing data from an Instagram profiles dataset. It includes data loading, inspection, visualization, and some data preprocessing steps.

data data-science data-visualization exploratory-data-analysis exploratory-data-visualizations influncer-products instagram scikit-learn sklearn

Last synced: 08 Jun 2026

https://github.com/rishi-sutar/healwise-ai-your-way-to-wellness

Healwise-AI is a health diagnostic tool that uses a Support Vector Classifier (SVC) model to predict diseases based on user-reported symptoms. After predicting, it offers detailed health advice, including descriptions, diets, medications, and workouts related to the diagnosis.

machine-learning scikit-learn support-vector-machine

Last synced: 30 Apr 2026

https://github.com/jarif87/tune-popularity-app

Flask web app to predict song popularity using CatBoost. Enter five song features for instant predictions. Modern, responsive UI, no CSRF for development.

catboost-classifier eda flask-application matplotlib-python music-classification python scikit-learn seaborn

Last synced: 30 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