scikit-learn | Ecosyste.ms: Awesome

https://github.com/anav5704/honeywell-aog-zero

Data-driven, proactive maintenance sheduling system for APUs

docker fastapi nextjs postgresql scikit-learn

Last synced: 20 Jan 2026

https://github.com/smakde/learning-resource-recommender

A lightweight recommender that helps you discover your next learning resource. It blends patterns from similar users with content keywords, and explains each suggestion in the UI.

als content-based-filtering evaluation-metrics explainable-ai hybrid-recommender implicit-feedback implicit-lib lightfm logistic-matrix-factorization mapk matrix-factorization ndcg pandas precision-at-k python recommender-system scikit-learn streamlit tf-idf top-n-recommendations

Last synced: 30 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/alyssonmach/machine-learning-com-python

Aplicações de Machine Learning usando a linguagem de programação Python.

ia keras-tensorflow machine-learning matplotlib numpy pandas programming python scikit-learn scipy

Last synced: 10 Apr 2026

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/devash2/ayur-scan

Indian Medicinal Leaf detection application using ML and DL

flask flutter google-firebase opencv python scikit-learn tensorflow

Last synced: 10 Apr 2026

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

Machine Learning python bootcamp: linear regression on ecommerce dataset

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

Last synced: 07 Apr 2026

https://github.com/sahilk12nayak/hyperspectral-corn-don-prediction-project

This project contains a machine learning pipeline for predicting DON (vomitoxin) concentration in corn samples using hyperspectral imaging data.

matplotlib numpy pandas python scikit-learn seaborn tensorflow

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/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/1egoman/machine-deep-learning-notes

Notes from my machine deep learning exploration

deep-learning machine-learning neural-networks notes python scikit-learn tensorflow udacity

Last synced: 10 May 2026

https://github.com/djdhairya/india_estate_price-map

data-science data-visualization eda hyperparameter-tuning keras lightgbm matplotlib metrics model numpy pandas scikit-learn seaborn tree xgboost

Last synced: 10 Apr 2026

https://github.com/ksasi/customer_segments

machine-learning numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/dineshdhamodharan24/amazon-reviews-sentiment-analysis

This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.

matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/jelhamm/principle-component-analysis-data-mining

"This repository contains an implementation of the Principal Component Analysis (PCA) algorithm, which is one of the key techniques used for dimensionality reduction in data mining and machine learning."

data-mining data-science jupyter-notebook machine-learning machine-learning-algorithms pca principal-component-analysis python pytorch scikit-learn scipy-library tensorflow

Last synced: 10 Apr 2026

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

This is a machine learning project which has a trained model that classifies whether a patient has a heart-disease or not.

kaggle-dataset matplotlib numpy pandas python scikit-learn scikitlearn-machine-learning uci

Last synced: 10 Apr 2026

https://github.com/ameykasbe/credit-card-fraud-detection-on-imbalanced-dataset

Examined data preprocessing techniques and performance of six different predictive models in Python to credit card fraud detection problem on an imbalanced dataset. Algorithms implemented - Logistic Regression, K Nearest Neighbours, Support Vector Classification, Naïve Bayes Classifier, Decision Tree Classifier, and Random Forest Classifier.

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

Last synced: 10 Apr 2026

https://github.com/vijaykumarr1452/startup_success_predictor

This project demonstrates the use of Multiple Linear Regression to predict the profits of startups based on investment in R&D, Administration, and Marketing of dataset (50_Startups.csv)

machine-learning multi-linear-regression numpy pandas python regression rsquare-values scikit-learn

Last synced: 10 Apr 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/jol79/python_exercises

Solving interesting python exercises on different topics

matplotlib-pyplot numpy pandas python3 pythonexercises scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/gamowy/music-classification

Music genre classification using k nearest neighbors classifier based on gtzan dataset

machinelearning python scikit-learn university-assignment

Last synced: 10 Apr 2026

https://github.com/filsan-musa/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: 31 Aug 2025

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/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/amidug/brazilpipeline

fastapi keras mlflow python scikit-learn tensorflow xgboost

Last synced: 10 Apr 2026

https://github.com/chirindaopensource/measuring_economic_outlook_in_news

End-to-End Python implementation of Beck et al.'s (2025) economic sentiment analysis framework for constructing a high-frequency economic sentiment indicator using 1024-dimensional Jina embeddings and LLM-generated training data. Features L2-regularized classification and rigorous POOS econometric validation with DM-HAC tests for GDP forecasting.

claude-ai computational-economics econometrics financial-modeling jina-embeddings llm nlp privacy-preserving-ml python regularized-regression reproducible-research scikit-learn sentiment-analysis statsmodels synthetic-data tensorflow time-series-forecasting transformers weak-supervision

Last synced: 30 Apr 2026

https://github.com/anastasius21/fakenewsmodel

The repo contains the model for fake news detection and a streamlit app for its implementation.

fake-news-detection machine-learning nlp pandas python scikit-learn

Last synced: 05 May 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/tomgorb/ds-utils

pre-processing of a DataFrame into a sparse matrix for model input

machine-learning preprocessing scikit-learn

Last synced: 16 May 2026

https://github.com/sayed-ashfaq/delhivery-dataanalysis

In this project, I conducted basic analysis, feature engineering, normalization, and outlier handling, along with statistical and non-parametric testing to extract insights.

feature-engineering normalization outlier-detection pandas python scikit-learn statistcal-tests statistical-analysis

Last synced: 30 Apr 2026

https://github.com/sakshi2215/email-sms--spam_classifier

nltk-python scikit-learn streamlit-webapp

Last synced: 17 May 2026

https://github.com/gozsari/ml-oneday-course

This is a one-day machine learning introductory course for beginners

anomaly-detection classification clustering course dimensionality-reduction machine-learning machine-learning-algorithms ml-course ml-workflow regression scikit-learn supervised-learning unsupervised-learning

Last synced: 20 Jan 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/tsungtsetu122/datamining-cifar10-classification

Data mining project on CIFAR-10 extracted features, applying preprocessing, classification models, and evaluation techniques to improve classification performance.

matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

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/anras5/songs-classifier

Classify songs' genres with Machine Learning

data-science docker machine-learning mlflow pandas python scikit-learn seaborn streamlit tpot

Last synced: 10 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/crispengari/ml-web-applications

✔ This repository contains a series of machine learning web applications, using python.

artificial-intelligence deeplearning flask javascript machinelearning nueral-networks python scikit-learn sentiment-analysis webapplication

Last synced: 11 Apr 2026

https://github.com/toluwalase-taiwo/ml-zoomcamp

Machine learning repository

algorithms jupyter-notebook machine-learning matplotlib numpy pandas python3 scikit-learn

Last synced: 11 Apr 2026

https://github.com/simon2k/ieee-cis-fraud-detection

Can you detect fraud from customer transactions?

customer-transactions fraud-detection fraud-relation machine-learning numpy pandas scikit-learn

Last synced: 11 Apr 2026

https://github.com/fikri-rouzan/student-stress-levels-classification

Proyek pemodelan machine learning untuk mengklasifikasikan tingkat stres mahasiswa berdasarkan parameter input akademik dan psikologis.

joblib jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn streamlit

Last synced: 08 Jun 2026

https://github.com/gamowy/urbansounds-classification

Classification of urban sounds using Tensorflow Keras

keras machine-learning python scikit-learn tensorflow

Last synced: 11 Apr 2026

https://github.com/eco786786/spotify-playlist-generator

This project uses machine learning to cluster songs by features like tempo, genre and mood with K-Means. It then creates personalised Spotify playlists based on these clusters, providing dynamic, genre specific track collections. Integrating the Spotify API, it enables users to explore new music within custom groupings.

flask matplotlib pandas python3 scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/nicolas-giacomelli/modelo-regressao-logistica_dockerapi

Modelo de regressao logistica para classificar se uma fruta esta boa ou ruim baseado nas suas caracteristicas

docker fastapi optuna pandas plotly pydantic python3 scikit-learn seaborn uvicorn

Last synced: 11 Apr 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/samuelpillai/machine-learning-classification-regression-nlp

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

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

Last synced: 30 Apr 2026

https://github.com/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/zuhairzia/titanic-survival-project

This is a Titanic Survival Prediction Model developed using Python, Pandas, Scikit-learn, and Jupyter Notebook. The model predicts whether a passenger survived the Titanic disaster based on features such as age, gender, and passenger class.

csv-dataset flask jupyter-notebook matplotlib numpy pandas pandas-library python scikit-learn seaborn streamlit

Last synced: 11 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/shreeparab1890/handwritten-digit-recognition

In this iPython Noetbook we are going to use the MNIST dataset for the implementation of a handwritten digit recognition app using LogisticRegression and SGDClassifier and compare the accuracy and other metrics.

handwritten-digit-recognition image-classification matplotlib mnist-dataset python scikit-learn sklearn

Last synced: 11 Apr 2026

https://github.com/msikorski93/breast-cancer-classifying

Identifying and assigning breast cancer diagnosis using machine learning methods, based on observations in WDBC dataset. All classifiers have been evaluated and performed well for this task.

breast-cancer classification k-nearest-neighbours keras logistic-regression naive-bayes neural-networks scikit-learn tensorflow

Last synced: 30 Apr 2026

https://github.com/akimuddinshaikh/machine-learning-project

A comparative study of regression models (Decision Tree, Random Forest, Ridge, Lasso, SVM) for predicting real estate prices in King County, NYC, and California using PCA & Pipeline techniques.

machine-learning pca-analysis python regression-models scikit-learn statsmodels

Last synced: 16 May 2026

https://github.com/mr-ndi/tibebai

Machine learning experiments on student performance prediction. Inspired by tibeb (wisdom) in Amharic, this project explores regression models to understand how study factors influence exam scores.

ai data-science education elevvo google-colab internship kaggle linear-regression machine-learning matplotlib pandas polynomial-regression prediction regression scikit-learn student-performance tibebai-wisdom

Last synced: 11 Apr 2026

https://github.com/timothyjan/intro-machine-learning-classifiers

We will use the scikit-learn library, which is a higher-level machine learning library that will work with NumPy data, and Pandas, a library that makes it easier to manipulate data. We will explore a variety of classification algorithms, and compare their performance on a “real-world” dataset, which will introduce its own set of challenges.

numpy pandas python scikit-learn

Last synced: 11 Apr 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/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/brej-29/disaster-tweets-nlp-model-benchmarks

Benchmark NLP models on Kaggle “Disaster Tweets”: TF-IDF + Naive Bayes baseline, Keras deep nets (Dense/LSTM/GRU/BiRNN/Conv1D), and TensorFlow Hub Universal Sentence Encoder transfer learning—compared using accuracy, precision, recall, and F1.

bidirectional-rnn cnn conv1d deep-learning disaster-tweets gru kaggle keras lstm machine-learning naive-bayes nlp rnn scikit-learn tensorflow tensorflow-hub text-classification tfidf

Last synced: 11 Apr 2026

https://github.com/priteshramani/movie-recommender

A content-based movie recommendation system using Python, Pandas, and cosine similarity to suggest movies based on their features.

Last synced: 11 Apr 2026

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

Contributors: Meet Gamdha, Gaurav Nimmagadda

bert python scikit-learn word2vec

Last synced: 30 Apr 2026

https://github.com/mrktsm/spam-email-recognizer

Long Short-Term Memory (LSTM) network trained to classify emails as spam or non-spam. It processes email content to make accurate predictions and can be integrated into projects for efficient spam detection and email management.

data-preprocessing keras lstm-neural-network model-architecture nltk numpy pandas performance-evaluation scikit-learn spam-classification-model tenserflow training-the-model

Last synced: 09 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/jayadavv/dynamic-ml-model-selector

An interactive web application that allows users to upload their datasets and dynamically select, train, and evaluate various machine learning models. The app provides comprehensive performance metrics and visualizations, making it easy for users to analyze their data effectively.

decision-trees linear-regression logistic-regression matplotlib-pyplot plotly python random-forest scikit-learn streamlit

Last synced: 11 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/genaray/ml.shopanalytics

A minimalist Python & cloud ML project that trains on Amazon sales & review data to recommend optimal prices/discounts to boost ratings/sales and surface actionable visual insights. Powered end-to-end by AWS CloudFront, S3, ALB & Fargate and Svelte.

ai aws aws-alb aws-cloudfront aws-ecs aws-fargate aws-s3 cicd devops machine-learning python scikit-learn terraform

Last synced: 11 Apr 2026

https://github.com/gregoritsch3/ml_eda_clustering_aidassessment

An EDA and Machine Learning Clustering exercise on the Country Aid Assessment dataset demonstrating the use of PCA, KMeans and DBSCAN clustering, Elbow Methods, etc. The clustering algorithm successfully demarcates countries that are in most dire need of aid based on their GDPP and Child Mortality rate.

anova dbscan kmeans machine-learning matplotlib numpy pandas pca scikit-learn seaborn statistics

Last synced: 16 Apr 2026

https://github.com/kishanlalchoudhary/be-sem-7

BE SEM 7 Assignments

blockchain cpp design-analysis-algorithms machine-learning matplotlib numpy pandas scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/felinjob/ibm-applied-data-science-capstone

Este projeto, parte da especialização IBM Data Science Professional Certificate, prevê o sucesso do pouso do Falcon 9 da SpaceX. Usando dados da API da SpaceX e Web Scraping, o projeto inclui análise de dados e Machine Learning para gerar insights sobre os lançamentos.

data-analysis data-science data-visualization ibm jupyter-notebook machine-learning numpy pandas python scikit-learn seaborn sql

Last synced: 11 Apr 2026

https://github.com/jonad/boston_housing_price

Predicting Boston Housing Prices.

boston-housing-dataset jupyter-notebook matplotlib numpy pandas python3 scikit-learn

Last synced: 11 Apr 2026

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/aryanpillai2007/credit-card-fraud-detection

The primary goal of this project is to develop a comprehensive fraud detection system that enhances the security and trustworthiness of financial transactions.

anomaly-detection classification credit-card-fraud data-preprocessing data-science data-visualization fraud-detection imbalanced-data logistic-regression machine-learning outlier-detection pca pca-analysis python roc-curve scikit-learn

Last synced: 18 May 2026

https://github.com/prarthana-singh/heart-attack-prediction-model

A Machine Learning model that predicts the risk of a heart attack based on health parameters like cholesterol levels, blood pressure, BMI, smoking habits, and age. Built using Classification models, Scikit-Learn, Pandas, and Python.

classification data-analysis data-science heart-attack-prediction logistic-regression machine-learning numpy pandas python scikit-learn

Last synced: 25 Jun 2025

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

The primary goal of this project is to provide personalized movie recommendations to users based on their preferences and the characteristics of the movies. This is achieved through a multi-step process involving data preprocessing, text vectorization, and recommendation generation.

anaconda-environment data-science jupyter-notebook machine-learning movie-recommendation movies pandas python3 recommendation-system recommender-system scikit-learn scikitlearn-machine-learning

Last synced: 26 Feb 2025

https://github.com/talapanenivarshithchowdary/asteroid-detection-ml

This project uses Machine Learning to detect and classify asteroids based on trajectory and size, aiding in Near-Earth Object detection and planetary defense.

classification data-science decision-trees jupyter-notebook knn logistic-regression machine-lea matplotlib numpy pandas pillow prediction python3 random-forest scikit-learn

Last synced: 11 Apr 2026

https://github.com/audy21/datacamp

Learning portfolio documenting my progress, while taking Data Analyst & Data Science certifications from DataCamp.

data-analysis data-science machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/swarnabhaghosh/house-price-prediction-model

Built an end-to-end regression pipeline to predict house prices using Linear Regression with automated preprocessing (PowerTransform, StandardScaling) via Scikit-learn's Pipeline and ColumnTransformer.

column-transformer linear-regression matplotlib-pyplot numpy pandas pipeline python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/mukeshthenraj/video-engagement-prediction

ML project to predict video engagement using Random Forest & XGBoost

gridsearchcv matplotlib numpy pandas random-forest-classifier roc-auc-curve scikit-learn video-analytics xgboost

Last synced: 30 Apr 2026

https://github.com/aksoni07/movie-recommendation

A hybrid movie recommendation system designed to deliver personalized and accurate suggestions by combining user preferences, item attributes, and collaborative patterns, ensuring a seamless and engaging experience.

clustering content-based-filtering data-analysis embeddings jupyter-notebook numpy ollaborative-filtering pandas personalization python recommendation-systems scikit-learn user-item-interactions

Last synced: 11 Apr 2026

https://github.com/ricardorobledo/ml_optimization

matplotlib numpy python scikit-learn xgboost

Last synced: 11 Apr 2026

https://github.com/allanreda/telco-customer-churn-predictor-app

A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.

app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn

Last synced: 16 Apr 2026

https://github.com/matbesancon/kaggle-digit-recognizer

Some tests with the Kaggle Digit Recognition challenge

image-processing kaggle kaggle-digit-recognizer machine-learning mnist-dataset numpy pandas python scikit-image scikit-learn

Last synced: 11 Apr 2026

https://github.com/trimoyee-g/adenovirus-disease-prediction

A machine learning project using scikit-learn to compare models for Adenovirus detection, selecting the most effective one based on accuracy, precision, and recall.

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

Last synced: 11 Apr 2026

https://github.com/trimoyee-g/flipkart-reviews-sentiment-analysis

A RandomForestClassifier-based sentiment analysis model for efficient binary categorization of Flipkart reviews.

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

Last synced: 11 Apr 2026

https://github.com/sanuann/ml-projects

machine-learning naive-bayes python scikit-learn scikitlearn-machine-learning sklearn svm

Last synced: 18 May 2026

https://github.com/vedanty3/bulldozer-price-prediction

A machine learning project aiming to build a machine learning model which could predict the sales price of bulldozer.

andrew-ng-machine-learning ensemble-machine-learning gridsearchcv jupyter-notebook machine-learning matplotlib numpy pandas python randomforestregressor randomizedsearchcv scikit-learn ztm

Last synced: 05 Apr 2026

https://github.com/blakeziegler/binary-classification-competition

Binary Classification of Insurance Crosselling Kaggle Competition

data-analysis data-science database kaggle kaggle-competition machine-learning python rstudio scikit-learn xgboost

Last synced: 17 Nov 2025

https://github.com/dharma-acha/explanability_in_deepneuralnetworks

Our project aims to enhance the transparency and trustworthiness of the VGG model in critical fields like healthcare imaging and self-driving cars. By integrating explainability methods into the VGG model for image classification, we will clarify its decision-making process.

colab-notebook matplotlib numpy pandas scikit-learn seaborn

Last synced: 30 Apr 2026

https://github.com/alexsolov28/ml_course

Курс "Технология машинного обучения"

colab-notebooks jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 05 Apr 2025

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

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

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

Last synced: 30 Apr 2026

https://github.com/pranavgautam29/flight-price-prediction

The Flight Price Prediction project uses machine learning to forecast flight ticket prices based on historical data. Hosted on Streamlit Community Cloud and deployed via Streamlit, this application allows users to input flight details such as departure and arrival airports, travel dates, and class to receive accurate price predictions.

machine-learning prediction-model regression scikit-learn statistical-machine-learning streamlit