scikit-learn | Ecosyste.ms: Awesome

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

Machine Learning python bootcamp: linear regression on houses model

ipynb linear-regression machine-learning numpy pandas python scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/donmaruko/sentiment-analysis-api

Flask-based API for sentiment analysis using deep learning models and includes endpoints for text and file input, database storage, and integrated Swagger documentation.

api deep-learning deep-neural-networks flask keras lstm machine-learning neural-network rnn scikit-learn scikitlearn-machine-learning sklearn sqlite3 swagger swagger-ui tensorflow

Last synced: 10 Apr 2026

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: 10 Apr 2026

https://github.com/kane-dylan/spamshield

SpamShield

mechine-learing numpy pandas python scikit-learn scipy streamlit

Last synced: 10 Apr 2026

https://github.com/akansharajput280799/data-driven-insights-into-job-satisfaction-and-compensation-trends

This project analyzes 2020 employee data to identify factors influencing job satisfaction, performance, and salary differences, offering insights for improving engagement and workplace strategies.

cluster-analysis colab-notebook data-cleaning descriptive-statistics factor-analysis hypothesis-testing jupyter-notebook matplotlib python scikit-learn seaborn t-test visualization

Last synced: 18 Apr 2026

https://github.com/yuji1702/ai--powered-triage-system

This project implements a machine learning-based triage system for emergency rooms, which classifies patients based on their symptoms and vitals using a Random Forest Classifier. The system features real-time patient data integration, a user-friendly GUI built with Tkinter, and secure patient data encryption using Fernet from the cryptography lib

cryptography data-imputation data-preprocessing data-security encryption gui healthcare machine-learning matplotlib medical-data python random-forest realt-time scikit-learn seaborn tkinter triage-system

Last synced: 05 Apr 2025

https://github.com/karthikarajagopal44/data-analysis-using-python-libraries-

The COVID-19 pandemic has significantly impacted India, necessitating a detailed analysis of the virus’s spread within the country. In this project, we explore an India-specific COVID-19 dataset, leveraging Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

data-cleaning data-visualization matplotlib numpy pandas python python3 scikit-learn seaborn

Last synced: 07 Apr 2026

https://github.com/rishikesh-jadhav/machine-learning-practice-projects

This repository contains my end to end ML practice projects as a part of the ML zero to mastery course by Daniel Bourke and Andrei Neagoie

classification data-science data-visualization dataanalysis deep-learning hadoop jupyter-notebooks machine-learning neural-network numpy pandas pyspark python pytorch regression scikit-learn supervised-learning tensorflow time-series transfer-learning

Last synced: 10 Apr 2026

https://github.com/abdulshaikh55/ml-involuntary-denied-boarding

A machine learning model that predicts whether you will be denied onboarding your plane.

first-timers ipynb machine-learning scikit-learn

Last synced: 29 Apr 2026

https://github.com/giacomolat/classification-of-exotic-fruits

The goal of this project is to develop an automatic classification system for exotic fruits based on numerical features using the K-nearest neighbors (K-NN) algorithm

anomalies-detection auc-roc-curve confusion-matrix gridsearchcv hold-out-cross-validation knn knn-classification machine-learning matplotlib matplotlib-pyplot multiclass-classification normalization-techniques numpy pandas python scikit-learn seaborn stratified-cross-validation

Last synced: 10 Apr 2026

https://github.com/marknature/machine-learning-intern

Machine Learning tasks involving the Titanic Dataset and Breast Cancer Wisconsin (Diagnostic) dataset

data-analysis github jupiter-notebook machine-learning matplotlib numpy pandas python scikit-learn sklearn

Last synced: 10 Apr 2026

https://github.com/lukacerr/lovelytics

Lovelytics technical task for AI engineer position

ai-agents deepagents langchain ml python scikit-learn

Last synced: 31 May 2026

https://github.com/libra33a/retinopathy-ai

👁️ Detect Diabetic Retinopathy from retinal images using a CNN model in PyTorch, ensuring early intervention and reducing vision loss risks.

ai cnn-classification deep-learning healthcare-ai heidisql kaggle-competition machine-learning medical-imaging neural-network onnxruntime python pytorch resnet-152 retinal-fundus-images retinopathy scikit-learn tensorflow tkinter-gui

Last synced: 10 Apr 2026

https://github.com/aymen016/cosmic-mystery-challenge-2912

"Explore the depths of space and unravel cosmic mysteries in the year 2912 with our Cosmic Mystery Challenge repository. Dive into data science adventures as you predict the fate of passengers aboard the Spaceship Titanic after a collision with a spacetime anomaly. Join us in reshaping history and saving lives across the universe!"

kaggle matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning seaborn

Last synced: 10 Apr 2026

https://github.com/Timelaglepomispunctatus405/quality-guard

Protect AI agents by blocking dangerous shell commands and checking tool output quality in real time with an OpenClaw plugin

ai-agents automation claude-ai claude-code cursor dead-code deptrac design-pattern entsoe event-driven evidence-guard gas-prices machine-learning price-prediction python scikit-learn skills tdd time-series-forecasting

Last synced: 16 May 2026

https://github.com/philippe2023/startup-success-predictor

jupyterlab linear-regression machine-learning numpy pandas python3 scikit-learn streamlit

Last synced: 10 Apr 2026

https://github.com/jupitvq/simple-uib-assistant

Chatbot sederhana berbasis machine learning untuk membantu mahasiswa memberikan informasi seputar akademik & administrasi UIB.

chatbot machine-learning scikit-learn virtual-assistant

Last synced: 05 Apr 2025

https://github.com/yasolg/ml-bootcamp

⚡ Master machine learning in 10 days with this interactive, open-source bootcamp. Learn Python basics to production ML at no cost.

chatgpt crewai data-science deep-learning jose-portilla langchain langgraph large-language-models llama matplotlib-pyplot mlops ollama python satellite-imagery scikit-learn tensorflow tensorflow2 udemy-course-project

Last synced: 15 Apr 2026

https://github.com/jeniljani-4444/end-to-end-car-price-prediction-model

Predict car prices effortlessly using this machine learning model. Built with Python and Scikit-learn it analyzes features like mileage age brand and more to estimate accurate prices. Perfect for buyers sellers and dealerships.

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

Last synced: 10 Apr 2026

https://github.com/hayatiyrtgl/ml_divorce_classification-with-5-models

The code performs data preprocessing, machine learning model training, evaluation, and model saving for a binary classification problem on the divorce dataset.

anket binary-classification classification keras keras-classification-models keras-neural-networks keras-tensorflow machine-learning machine-learning-algorithms machinelearning-python python pythonmachinelearning scikit-learn scikitlearn-machine-learning

Last synced: 08 Apr 2026

https://github.com/yanne0800/lung_cancer_prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

algorithm classification cnn decision-tree-classifier decision-trees deep-learning gradientboosting keras lung-cancer medical-image-processing navies-bayes-classifer neuralnetworks python scikit-learn

Last synced: 05 May 2026

https://github.com/jofaval/california-housing-pricing

Data Analysis about the California Housing Pricing in 1997

data-analysis data-science data-visualization deep deep-learning deep-neural-networks google-colab keras machine-learning matplotlib python regression scikit-learn seaborn tensorflow

Last synced: 05 Apr 2026

https://github.com/ifte-13/loan-approval-system

Loan Approval System

imbalanced-learn matplotlib numpy pandas scikit-learn seaborn tensorflow

Last synced: 11 Apr 2026

https://github.com/audy21/data-exploratory-portfolio

An advanced visualizations from my recent practices.

matplotlib nltk pandas plotly scikit-learn seaborn tensorflow

Last synced: 27 Aug 2025

https://github.com/mayhixza/breast-cancer-classification

Classified tumors as malignant or benign using various supervised ML models

classification eda evaluation-metrics jupyter-notebooks machine-learning scikit-learn supervised-machine-learning

Last synced: 18 May 2026

https://github.com/antonio-f/local-rag-llama3

Local RAG using LLaMA3

annotated artificial-intelligence hands-on jupyter-notebook langchain llama3-rag llm local machine-learning python rag retrieval-augmented-generation scikit-learn support-vector-machines tutorial

Last synced: 09 Apr 2026

https://github.com/arrhythmia-detection/authorfeatureextracteddecisiontreeoptimizedesp32s3

Deploys an optimized Decision Tree for Arrhythmia classification using Chapman ECG dataset on ESP32-S3 dev kit

arrhythmia-classification decision-tree-classifier decision-trees eloquent esp32-arduino esp32-s3 scikit-learn

Last synced: 27 Aug 2025

https://github.com/rohitdusane/spam-classification-model

A Python-based machine learning model for spam detection leveraging TF-IDF vectorization and multiple classifiers, including Naive Bayes, Logistic Regression, and Random Forest. This project demonstrates preprocessing techniques, model training, and performance evaluation for classifying SMS messages as spam or ham.

data-science flask mlflow natural-language-processing scikit-learn spam-detection text-classification

Last synced: 19 Apr 2026

https://github.com/lakshitalearning/codsoft

Machine Learning Projects - CODSOFT Internship: This repository showcases my machine learning projects completed during my internship at Codsoft. It demonstrates my skills in developing innovative solutions using various ML techniques and tools.

churn-prediction codsoft codsoftinternship deep-learning handwritten-text-recognition internship-project keras machine-learning python rnn-tensorflow scikit-learn spam-detection

Last synced: 11 Feb 2026

https://github.com/davidyslu/PokemonRecognition

Recognize Pokemon's image using scikit-learn in Python

knn-model python scikit-learn svm-model

Last synced: 29 Aug 2025

https://github.com/murshidazher/recommendation-system

🎥 Building a recommendation system using python

python recommendation-engine scikit-learn suprise

Last synced: 08 May 2026

https://github.com/amidug/brazilpipeline

fastapi keras mlflow python scikit-learn tensorflow xgboost

Last synced: 10 Apr 2026

https://github.com/gana36/credit-card-fraud-detection

Production MLOps pipeline for fraud detection with automated testing, monitoring, and zero-downtime deployments

docker evidently fastapi fraud-detection grafana machine-learning mlflow mlops postgresql prometheus scikit-learn

Last synced: 10 Apr 2026

https://github.com/myahninsi/credit_card_fraud_detection

This repository is for the Neural Networks and Deep Learning Course - Assignment 1, focusing on credit card fraud detection. The project utilizes a machine learning model to predict whether a transaction is fraudulent using a synthetic credit card dataset.

matplotlib numpy pandas pickle python scikit-learn seaborn streamlit

Last synced: 09 Apr 2026

https://github.com/shibbir24/Water-Potability-Prediction-Using-Hybrid-Machine-Learning-Techniques

Water Potability Prediction Using Hybrid Machine Learning Techniques

machine-learning matplotlib numpy pandas python3 scikit-learn seaborn

Last synced: 30 Dec 2025

https://github.com/mohammedhaq/safestream

SafeStream is a machine learning project that utilizes machine learning to predict the potability of water. By analyzing various water quality parameters, SafeStream helps in determining whether a water source is safe for consumption. This project leverages Python, PyTorch, and scikit-learn.

logistic-regression machine-learning neural-network python pytorch scikit-learn

Last synced: 23 Jul 2025

https://github.com/jainish-prajapati/solar-flare-prediction

This repository contains code and data for predicting solar flare energy ranges using machine learning, based on NASA's RHESSI mission data. It includes preprocessing of FITS files into a unified CSV dataset and implements models like Gradient Boosting, Random Forest, and Decision Tree classifiers, achieving accuracies up to 87%.

data-visualization machine-learning numpy pandas python scikit-learn solar-flare-prediction

Last synced: 30 Dec 2025

https://github.com/dadvaiahpavan/ats-system

This AI-driven Applicant Tracking System (ATS) is a cutting-edge solution designed to revolutionize the recruitment process by providing intelligent resume analysis and matching capabilities.

google-generativeai nltk pandas plotly python-docx scikit-learn spacy streamlit

Last synced: 05 Apr 2026

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

This project is a machine learning-based application to predict house prices. A frontend interface has been developed using Streamlit to make the prediction process user-friendly for regular customers. The project is structured

data-analysis data-engineering data-science eda machine-learning pandas python random-forest scikit-learn streamlit

Last synced: 05 Apr 2026

https://github.com/iguanad0n/housing-prices

blending catboost data-analysis eda gradient-boosting kaggle kaggle-competition linear-regression machine-learning matplotlib numpy optuna pandas python random-forest scikit-learn seaborn stacking xgboost

Last synced: 07 Apr 2026

https://github.com/okerx/spotifymoods

A simple ML model to classify Spotify tracks using audio features.

machine-learning pandas python scikit-learn

Last synced: 09 May 2026

https://github.com/ramyacp14/sentimentanalysis

Implements a sentiment analysis model to determine the emotional tone behind text, helping understand attitudes, opinions, and emotions in online mentions.

machine-learning natural-language-processing nltk numpy pandas python scikit-learn

Last synced: 07 Apr 2026

https://github.com/adhishnanda/motion-based-german-learning-app

AI-powered language learning app with gesture recognition (MediaPipe + ML/DL models), real-time interaction, spaced repetition, and full React/TypeScript UI. Demonstrates ML engineering, computer vision, and frontend expertise.

capstone-project computer-vision data-science deep-learning gesture-recognition interactive interactive-learning machine-learning mediapipe portfolio-project pose-estimation react scikit-learn tensorflow typescript

Last synced: 07 Apr 2026

https://github.com/sbera01/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: 24 Dec 2025

https://github.com/capsuleismail/drybeanuci

Data Science Project with Model comparison.

datascience jupyter-notebook machinelearning-python scikit-learn

Last synced: 18 May 2026

https://github.com/inneedlovebu/titanic-survival-prediction

A complete data science project predicting Titanic survival, featuring EDA, model tuning, and a web demo

artificial-intelligence binary-classification classification data-science gradio jupyter-notebook kaggle machine-learning pandas predictive-modeling python scikit-learn titanic

Last synced: 10 Apr 2026

https://github.com/satheesh-meadi/real_time_financial_risk_dashboard

Financial Risk Analysis Dashboard 🚀. An interactive Streamlit dashboard designed for analyzing and visualizing portfolio performance. Features include CAPM analysis, portfolio optimization, efficient frontier visualization, and real-time stock data to help optimize investments.

numpy pandas plotly plotly-express python3 scikit-learn streamlit yfinance

Last synced: 05 Apr 2026

https://github.com/csakig/bike-sharing-demand-analytics

Advanced analytics on Bike Sharing data using Random Forest, Gradient Boosting, and SARIMAX forecasting.

data-science machine-learning portfolio python scikit-learn time-series

Last synced: 10 Apr 2026

https://github.com/thiagohrcosta/machinelearning-temperature

A Small Machine Learning application leveraging Scikit-Learn and statistical learning to extract knowledge from data without explicit programming.

machine-learning numpy pandas python3 scikit-learn

Last synced: 08 Apr 2026

https://github.com/thatguychandan/adoptimization

This project implements an ad optimization system using a hybrid approach combining Thompson Sampling and Upper Confidence Bound (UCB) algorithms. The system learns to select the most effective ads based on user context and historical performance.

numpy pandas plotly python pytorch reinforcement-learning scikit-learn streamlit thompson-sampling upper-confidence-bound

Last synced: 10 Apr 2026

https://github.com/thammami01/simple-recruitment-ml

Simple recruitment app that allows job posting/application, and viewing regression/classification figures based on entries.

flask matplot-lib mongodb python scikit-learn

Last synced: 12 Apr 2026

https://github.com/das-amlan/movierecommendationsystem

End To End Machine Learning Implementation of a movie recommendation system

Last synced: 10 Apr 2026

https://github.com/itsmandrew/diabetes-cs178

Final project for CS178, predicting whether and when will patient with diabetes be readmitted in hospital after the treatment.

knn logistic-regression neural-network python scikit-learn

Last synced: 13 Apr 2026

https://github.com/solanovisitor/moodpredictor

An application that uses Machine Learning to predict one's risk of having mood disorders (currently in Portuguese)

pandas python scikit-learn streamlit xgboost

Last synced: 09 Apr 2026

https://github.com/sobhan-m/comp472-project1

A program that builds various machine learning models on a dataset composed of Reddit posts, their emotions, and their sentiments.

ai jupyter-notebook machine-learning python scikit-learn

Last synced: 14 Apr 2025

https://github.com/s0fft/learning-lab

Code Notes & Test-Learn // Micro Pet-Projects: Python / Asynchrony / FastAPI / Django-Tastypie / DRF / Parsing / Telegram-Bot / SQL / Docker / DS / ML / etc.

asynchrony data-science django-rest-framework docker fastapi jupyter-lab jupyter-notebook mashine-learning matplotlib notes numpy pandas parsing python3 scikit-learn seaborn sql sqlalchemy tastypie telegram-bot

Last synced: 10 Apr 2026

https://github.com/shreeparab1890/duplicate-question-predictor

The ipython notebook is working to build a model which will detect duplicate questions if two questions pair are given.

bag-of-words nlp nlp-machine-learning nltk numpy pandas python random-forest scikit-learn sklearn streamlit

Last synced: 10 Apr 2026

https://github.com/lingumd/cryptocurrencies

Unsupervised machine learning models used to group the cryptocurrencies to help prepare for a new investment.

concatenate elbow-curves get-dummies hvplot jupyterlab kmeans matplotlib-pyplot minmaxscaler pandas path pca-analysis plotly-express scikit-learn unsupervised-machine-learning

Last synced: 13 Apr 2026

https://github.com/kostadinlambov/algorithmic-trading-bot

The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).

lightgbm machine-learning matplotlib mlflow numpy optuna pandas pickle random-forest scikit-learn scipy seaborn statsmodels xgboost

Last synced: 05 Apr 2026

https://github.com/wb-az/peft_lora_opt_llm_finetuning

This repository contains code to fine llm with diverse peft techniques with custom datasets.

emotion-analysis facebook-opt huggingface-transformers llm-fine-tuning llm-inference lora modernbert peft-fine-tuning-llm plotly-express python3 pytorch roberta-base scikit-learn scipy

Last synced: 30 Dec 2025

https://github.com/fatimaafzaal/car_price_prediction

Trains Random Forest and Gradient Boosting models to predict car prices based on user inputs for various car attributes, evaluating models and making predictions using the best-performing model.

car-price-prediction ensemble-learning gradient-boosting matplotlib numpy pandas random-forest regression regression-models scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/ravi-aratchige/spacefarer

What type of astronaut would you be?

astronaut astronauts flask jupyter jupyter-notebook machine-learning numpy pandas python scikit-learn space tailwind tailwindcss

Last synced: 10 Apr 2026

https://github.com/enayar478/nomad_machine_learning_dash_app

An interactive Machine Learning app built with Dash and Plotly, developed as part of the Data Analytics Bootcamp at Le Wagon Bordeaux. It allows users to visualize data, make real-time predictions, and explore various model insights.

analytics cachetools dash dashboard-application data-analysis data-science deployment gunicorn interactive-visualization machine-learning pandas plotly plotly-dash prediction-model python python3 render scikit-learn web-application

Last synced: 02 Jan 2026

https://github.com/simon2k/stock-price-prediction-evaluation

This project is indented to present a small evaluation of different types of regression models for predicting stock prices for AAPL.

evaluation machine-learning numpy pandas predicting-stock-prices scikit-learn

Last synced: 07 Apr 2026

https://github.com/sayamalt/airline-passenger-satisfaction-classification

Successfully developed a machine learning model to predict Airline Passenger Satisfaction by building an end-to-end MLOps pipeline. It integrates DVC for data versioning, a Dockerfile for containerization, and CI/CD using GitHub Actions for automated deployment.

azure-web-app-service ci-cd-pipeline classification docker-container dvc-pipeline experiment-tracking exploratory-data-analysis feature-engineering github-actions hyperparameter-tuning machine-learning mlflow mlflow-tracking mlops-workflow model-registry model-training-and-evaluation model-versioning optuna scikit-learn

Last synced: 16 Apr 2026

https://github.com/sasank-sasi/subtheme-sentiment-analysis-for-review

"Comprehensive Subtheme Sentiment Analysis of Customer Reviews Using Advanced NLP Techniques"

matplotlib natural-language-processing nltk plotly python scikit-learn spacy vader-sentiment-analysis

Last synced: 05 Feb 2026

https://github.com/mabjq/fastapi_iris_ml_project

Simple FastAPI ML application project

fastapi jinja2-templates macine-learning scikit-learn

Last synced: 30 Mar 2025

https://github.com/keremm26/pca-analysis

Principal Component Analysis and Clustering on Survey Data using Python and scikit-learn

k-means-clustering machine-learning pca-analysis scikit-learn unsupervised-learning

Last synced: 04 May 2026

https://github.com/vickshan001/diabetes-prediction-using-machine-learning-ci512-project-

Machine learning project (2021) predicting diabetes using the Pima Indians dataset. Compared KNN, Decision Tree, MLP, and more for accuracy.

classification diabetes-prediction machine-learning mlp pima-indians-dataset python scikit-learn

Last synced: 10 May 2026

https://github.com/dd-se/ml-app

Predict unseen numbers with ML models trained on MNIST dataset.

opencv python scikit-learn streamlit

Last synced: 30 Mar 2025

https://github.com/akashprak/socialnetworkads

Predicting customer purchase behavior from the Social Network Ads dataset.

data-analysis machine-learning mlflow pandas python scikit-learn seaborn xgboost

Last synced: 30 Mar 2025

https://github.com/igormteixeira/tcc-deteccao-ataques-dos

Este repositório contém o código-fonte e o artigo científico do meu TCC sobre detecção de ataques DoS utilizando Machine Learning. O objetivo do trabalho é analisar e implementar um modelo de aprendizado de máquina treinado com uma base pública para identificar atividades maliciosas reais em sistemas computacionais.

cybersecurity dos-attack machine-learning python scikit-learn tcc

Last synced: 03 May 2026

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/jpcadena/hackathon-kin

Hackathon Kin: Customers churn (Finance and Risk).

algorithms ann churn-prediction classification data-science keras machine-learning python scikit-learn supervised-learning tensorflow

Last synced: 07 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/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/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/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/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/rubaramanan/irisclassifier_with_scikitlearn

iris-classification machine-learning numpy pandas scikit-learn

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/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