scikit-learn
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
- GitHub: https://github.com/topics/scikit-learn
- Wikipedia: https://en.wikipedia.org/wiki/Scikit-learn
- Repo: https://github.com/scikit-learn/scikit-learn
- Created by: David Cournapeau
- Released: January 05, 2010
- Related Topics: scikit, python,
- Aliases: sklearn,
- Last updated: 2026-06-23 00:27:46 UTC
- JSON Representation
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/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/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/anirudh-pulavarthy/car-evaluation-using-smote
machine-learning python scikit-learn smote-sampling
Last synced: 24 Apr 2026
https://github.com/subratamondal1/heart-attack-prediction
Heart Attack Prediction of patients based on the required data. Data Ingestion - Data Preparation - Exploratory Data Analysis (EDA) - Modelling - Evaluation.
data-analysis data-science data-visualization kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python3 scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/duruii/contest-dingtalkcup2-a
2023年第二届“钉钉杯”大学生大数据挑战赛——智能手机用户监测数据分析
data-mining machine-learning pandas scikit-learn xgboost
Last synced: 12 Mar 2025
https://github.com/abhipatel35/svm-hyperparameter-optimization-for-breast-cancer
Utilizing SVM for breast cancer classification, this project compares model performance before and after hyperparameter tuning using GridSearchCV. Evaluation metrics like classification report showcase the effectiveness of the optimized model.
breast-cancer cancer-diagnosis classification data-analysis data-science gridsearchcv healthcare hyperparameter-tuning jupyter-notebook machine-learning medical-imaging pycharm python scikit-learn support-vector-machine svm
Last synced: 05 Feb 2026
https://github.com/hotequil/computer-vision
Study about computer vision.
jupyter-notebook matplotlib numpy python scikit-learn
Last synced: 13 Apr 2026
https://github.com/javi-cc/python-ml-portcanto
Portcanto és un projecte de simulació d'un trajecte en bicicleta. S'ha definit 4 tipus de ciclistes que es diferencien en el temps que tarda a fer el trajecte. L'objectiu és descobrir els 4 patrons amb l'algoritme de clustering KMeans.
clustering docker docker-compose kmeans machine-learning mlfow pydoc pylint python scikit-learn testing venv
Last synced: 13 Apr 2026
https://github.com/oceanuz/car-price-regression
A comprehensive ML evaluation and improvement notebook for a car price prediction model. It includes topics such as scoring with r2, cross-validation, overfitting/underfitting diagnosis, and polynomial regression. *Ridge regression* is applied to reduce overfitting, and (GridSearchCV) techniques are used to find the best alpha hyperparameter.
cross-validation data-science grid-search hyperparameter-tuning machine-learning machine-learning-models model-evaluation overfitting python regression ridge-regression scikit-learn
Last synced: 11 Dec 2025
https://github.com/18mahi/digital_cave
An intermediate-level deep learning project that compares Convolutional Neural Networks (CNN) and Multi-Layer Perceptrons (MLP) on the MNIST handwritten digits dataset. This project demonstrates data augmentation, learning rate scheduling, and visual comparison of model performance
cnn confusion-matrix data-augmentation data-science deep-learning evaluation-metrics jupyter-notebook keras learning-rate-scheduler machine-learning matplotlib mlp numpy python3 scikit-learn seaborn tensorflow
Last synced: 13 Apr 2026
https://github.com/pranavsp108/time-series-forcasting
A time-series forecasting project to predict hourly energy consumption using Python, Pandas, and an XGBoost regression model.
data-analysis data-science energy-consumption forecasting matplotlib numpy pandas python scikit-learn sustainability time-series xgboost
Last synced: 10 Apr 2026
https://github.com/ahmadbuilds/fake-news-classifier
Classifies news articles as real or fake using an NLP pipeline with TF-IDF + n-grams and machine learning models. Includes text preprocessing, feature engineering, model training, and evaluation.
fastapi logistic-regression matplotlib n-grams nextjs nltk numpy pandas python3 random-forest-classifier react scikit-learn seaborn supervised-learning tf-idf typescript xgboost-classifier
Last synced: 11 Apr 2026
https://github.com/pranavsp108/financial-fraud-detection
A comprehensive machine learning project for detecting financial fraud using XGBoost and LightGBM, with a focus on advanced feature engineering, class imbalance handling, and hyperparameter tuning.
classification-model data-science feature-engineering fraud-detection hyperparameter-tuning lightgbm machine-learning pandas python scikit-learn xgboost
Last synced: 04 May 2026
https://github.com/ivanswetz/banana_shelf-life_prediction
Goal: Predict how many days a banana has left before spoiling (“days to death”) based on a photo. This project demonstrates an end-to-end machine learning pipeline: image preprocessing, feature extraction, supervised & semi-supervised learning, and model deployment.
image-processing machine-learning opencv python random-forest scikit-learn supervised-learning
Last synced: 04 May 2026
https://github.com/imehranasgari/mlflow_starter
This project is a hands-on guide to the complete end-to-end MLflow workflow, designed as an educational resource. It demonstrates how MLflow is used in practice for experiment tracking, model versioning, and ensuring a reproducible MLOps lifecycle, focusing on the methodology and best practices rather than high model accuracy.
data-science experiment-tracking mlflow mlops model-registry python scikit-learn
Last synced: 11 May 2026
https://github.com/njorogepaul-moghul/house-price-predictions-kaggle-competition-
Built a predictive model for the Kaggle House Prices competition using feature engineering and LightGBM, achieving strong leaderboard performance."
data-science house-price-prediction-with-lightgbm kaggle-competition lightgbm machine-learning predicting-home-values-using-machine-learning random-forest scikit-learn
Last synced: 15 May 2026
https://github.com/ytalk/deep-learning
Um repositório dedicado à minha jornada de aprendizado e experimentação em Deep Learning. Contém diversas pipelines e implementações em diferentes datasets, explorando modelos (MLPs, LSTMs, CNNs) e técnicas (Regressão, Classificação, etc.) com foco em TensorFlow e Keras.
data-science deep-learning keras machine-learning neural-networks pandas python scikit-learn tensorflow
Last synced: 30 Dec 2025
https://github.com/abhay-rudatala/resume-analyzer
Intelligent Resume Analysis System using Machine Learning and NLP. Features TF-IDF + Naive Bayes/SVM classification (90-95% accuracy), SpaCy NER for information extraction, and interactive Streamlit web app with custom UI. Built with Python, Scikit-learn, and deployed on Streamlit Cloud.
classification machine-learning named-entity-recognition nlp portfolio-project python resume-analysis scikit-learn spacy streamlit
Last synced: 06 May 2026
https://github.com/manishrajmss13/regression_project
A predictive machine learning model to forecast the Algerian Forest Fire FWI using Python, Scikit-learn, and Statsmodels. Includes complete data cleaning and EDA.
data-cleaning-and-preprocessing data-science eda feature-engineering learning-by-doing linear-regression machine-learning python regression scikit-learn statsmodel
Last synced: 09 May 2026
https://github.com/smusab9152/bpm_pred_songs
ML project to predict the Beats Per Minute (BPM) of a song using various audio features. This is a submission for the Kaggle Playground Series (S04E02). The notebook covers a full data science workflow, including EDA, handling skewed data with log transformations, feature scaling, and building various regressions
data-science jupyter-notebook kaggle-competition machine-learning pandas regression scikit-learn
Last synced: 11 May 2026
https://github.com/jobanjps089/mental_wellness
This project is a Flask web application that predicts mental wellness levels based on lifestyle factors such as screen time, sleep hours, and work-related screen exposure. It uses a Machine Learning model trained in Google Colab and deployed via Hugging Face Spaces for public access.
flask joblib puthon3 scikit-learn
Last synced: 16 May 2026
https://github.com/kostadinlambov/time-series-forecasting
This project evaluates the predictive performance of a CNN-LSTM Hybrid deep learning model for Bitcoin price movement prediction.
keras-tensorflow matplotlib-pyplot mlflow numpy optuna pandas python scikit-learn seaborn statsmodels ta-lib tensorflow
Last synced: 07 Apr 2026
https://github.com/chirindaopensource/strapsim_portfolio_similarity_metric
End-to-End Python implementation of STRAPSim: a novel portfolio similarity metric from Li et al. (2025). Combines Random Forest proximity learning with residual-aware bipartite matching to quantify economic substitutability between ETF baskets. Full replication pipeline included.
asset-management bipartite-matching corporate-bonds etf-analysis fixed-income jupyter-notebook machine-learning numba pandas portfolio-optimization portfolio-similarity proximity-matrix python quantitative-finance random-forest research-replication scikit-learn similarity-metrics statistical-analysis supervised-learning
Last synced: 28 Apr 2026
https://github.com/javedfazlulahf/customer-churn-prediction
📊 Predict customer churn in telecom using machine learning to enhance retention strategies and drive better business outcomes.
churn-prediction cross-validation data-science factorization-machines imbalanced-learn libsvm machine-learning model-evaluation pipelines plotly scikit-learn seaborn shap-values spark-ml survival-analysis tensorflow watson-studio xgboost4j
Last synced: 11 May 2026
https://github.com/affan005-ai/tesla-stock-prediction
This project analyzes Tesla stock data and builds machine learning models to predict and classify stock movements. The analysis includes EDA, feature correlation, moving averages, and two models
data data-analysis data-science data-visualization-project eda machine-learning matplotlib pandas predictive-analytics predictive-modeling python scikit-learn
Last synced: 05 Oct 2025
https://github.com/kianaabrisham/stroke-prediction-ml-pipeline
Clinical ML pipeline with ROC/PR and interpretability
class-imbalance clinical-data healthcare interpretability machine-learning pandas pipeline precision-recall roc-auc scikit-learn
Last synced: 05 Oct 2025
https://github.com/blue-catblues/tieba-integratedanalysis
Python期末大作业—对百度贴吧进行爬虫采集(scrapy)、统计分析(pandas)、可视化展示(matplotlib)，与机器学习分类(scikitLearn)的综合性数据分析
matplotlib nlp-machine-learning pandas python scikit-learn scrapy seaborn
Last synced: 05 Oct 2025
https://github.com/nihanthbhargav/time-series-stock-market
This project combines computer vision and NLP by segmenting pet images with a U-Net model and generating captions using CNN-RNN/LSTM. Using the Oxford-IIIT Pets dataset, it demonstrates a unified pipeline that integrates pixel-level segmentation with automatic caption generation for meaningful image understanding.
matplotlib numpy pandas plotly python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/disney35/stock-prices-dashboard
A dashboard to analyze, predict, and visualize stock prices using Python & LSTM
ema jupyter-notebook keras macd matplotlib-pyplot mfi numpy pandas python rsi scikit-learn sma streamlit tenserflow yfinance
Last synced: 12 Apr 2026
https://github.com/khaifara/klafisikasi_jeruk_faiz_kece
Step by step machine learning classification dengan StandardScaler, OneHotEncoder, OrdinalEncoder, ColumnTransformer, Pipeline, Classification Report, Confusion Matrix dan deployment menggunakan Streamlit
machine-learning scikit-learn streamlit
Last synced: 05 Oct 2025
https://github.com/veerchaudhary0708/credit-fraud-detection
An end-to-end machine learning project to detect credit fraud using XGBoost.
datascience fintech fraud-detection machinelearning scikit-learn xgboost
Last synced: 18 May 2026
https://github.com/inesruizblach/data-science-project
A data science project exploring Portuguese "Vinho Verde" wine quality prediction. Features EDA, feature engineering, ML models, and evaluation using Python, pandas, scikit-learn, and visualization tools.
binary-classification classification data-science exploratory-data-analysis feature-engineering imbalanced-learn jupyter-notebook machine-learning model-evaluation pandas regression scikit-learn seaborn uci-dataset wine-quality
Last synced: 09 May 2026
https://github.com/kianaabrisham/naive-bayes-sentiment
Sentiment classification using Multinomial NB (scratch + sklearn)
bag-of-words naive-bayes nlp scikit-learn sentiment-analysis text-classification
Last synced: 14 May 2026
https://github.com/scorchinghot/core-machine-learning-exploration
This repository provides a hands-on exploration of classical machine learning algorithms applied to the MovieLens 100k dataset, aiming to build intuition and understanding of core ML concepts.
core-ml data-science hands-on machine-learning ml-algorithms python scikit-learn tutorial
Last synced: 05 Oct 2025
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/sasanka14/water_quality_predictions
Water Quality Prediction - College Project 🌊💧 Predicts water potability (safe/unsafe) using ML models like XGBoost & Random Forest. Features data preprocessing, feature importance, model evaluation, and visualizations. Built with Python, Pandas, Scikit-learn & Seaborn for analysis. 🚀
anaconda jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn xgboost
Last synced: 16 Apr 2026
https://github.com/theladev/machine-learning
This repository is focus on show u my personal projects and interests on Machine Learning and Data Science. Hope u enjoy it.
data-science machine-learning machine-learning-models pandas python scikit-learn
Last synced: 11 May 2026
https://github.com/silky-x0/spam-detector
An machine learning algorithm to detect spam emails or such.
jupyter-notebook nltk-python pandas python3 scikit-learn
Last synced: 16 Apr 2026
https://github.com/harris-giki/cancerdetectionmodel_ml
Simple Logistic Regression and Neural Network powered Machine Learning models that predicts whether a breast tumor is malignant or benign based on input features extracted from a breast cancer dataset.
cancer-detection development keras keras-tensorflow logistic-regression machine-learning neural-network scikit-learn streamlit tensorflow
Last synced: 13 Apr 2026
https://github.com/meiyor/abatech_ai_test
This repository contains the files for deploying an Exploratory Data Analysis (EDA) for participant demographic and company-based data collected by the outsourcing service given by the company ABATech located in Colombia. This repository also includes the evaluation of three different classifiers to decode the level of satisfaction of the users.
keras python scikit-learn scikitlearn-machine-learning tensorflow
Last synced: 16 Apr 2026
https://github.com/archish27/pythontutorial
Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications
matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup
Last synced: 01 Apr 2026
https://github.com/sahiltiwariiii/dssp
Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc
docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit
Last synced: 27 Mar 2026
https://github.com/yahiazakaria445/ensemble-learning-voting-classifier
Ensemble Learning Using KNN, Naive Bayes, Decision Tree on Biomechanical Data
matplotlib numpy pandas scikit-learn seaborn
Last synced: 30 Apr 2026
https://github.com/sanikamal/deep-learning-atoz
A collection of deep learning architectures ,model, code snippets, tips and mini projects.
computer-vision deep-learning nlp scikit-learn skimage tensorflow
Last synced: 16 Apr 2026
https://github.com/szymon-budziak/real_estate_house_prices_prediction
Predicting real estate house prices using various machine learning algorithms, including data exploration, preprocessing, model training, and evaluation.
data-analysis data-preprocessing data-science eda jupyter-notebook machine-learning matplotlib numpy optuna pandas predictive-modeling price-prediction python random-forest regression scikit-learn seaborn
Last synced: 21 Jan 2026
https://github.com/supershivam5/python_projects
💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!
matplotlib-pyplot numpy pandas scikit-learn seaborn
Last synced: 17 Apr 2026
https://github.com/ejw-data/proj-food-inspections
Analyzing Chicago Food Inspection data for interesting insights by combining multiple data resources and performing feature engineering.
decision-trees pandas preprocessing python scikit-learn
Last synced: 17 Apr 2026
https://github.com/anmolian/cassava_leaf_disease_detection
Image Classification
computer-vision deep-learning machine-learning scikit-learn tensorflow
Last synced: 08 May 2026
https://github.com/jahanostg/linear-regression_ml-algorithm
Linear Regression Algorithm
colab-notebook matplotlib numpy pandas scikit-learn seaborn
Last synced: 08 May 2026
https://github.com/kheriberto/knn_project
This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.
data-analysis knn-classifier numpy python scikit-learn seaborn
Last synced: 02 Apr 2026
https://github.com/1adityakadam/tweet-classification-using-nlp-techniques
This project classifies tweets as toxic or non-toxic using NLP and machine learning. It includes preprocessing, feature engineering, and models like Logistic Regression, Random Forest, and XGBoost on labeled tweet datasets. Technologies: Python, Pandas, NLTK, Scikit-learn, XGBoost.
nltk pandas python scikit-learn xgboost
Last synced: 05 May 2026
https://github.com/isshiki/machine-learning-with-python
連載『Pythonで学ぶ「機械学習」入門』（＠IT）で使用するノートブックが配布されているリポジトリです。
data-science machine-learning machinelearning-python python scikit-learn
Last synced: 17 Apr 2026
https://github.com/soroush-04/apple-stock-prediction
CNN-LSTM model for stock price prediction
convolutional-neural-networks keras machine-learning python scikit-learn tensorflow
Last synced: 02 Apr 2026
https://github.com/ricardorobledo/paymentcardfrauddetection2025
Comparative analysis of probabilistic classification models for credit card fraud detection, focusing on model calibration and threshold optimization in highly imbalanced datasets.
imbalanced-learn matplotlib numpy pandas python3 scikit-learn search
Last synced: 14 Apr 2026
https://github.com/a-poor/sample-model-serve
Demo for using Flask to serve a scikit-learn model as an API
api data-science docker flask machine-learning scikit-learn
Last synced: 30 Apr 2026
https://github.com/ngangawairimu/linear-regression-
This project builds a linear regression model in Python to predict outcomes and derive insights from feature data. It covers data cleaning, feature analysis, and model evaluation, showcasing predictive modeling techniques using scikit-learn, pandas, and visualization libraries.
data-analysis linear-regression machine-learning predictive-modeling python scikit-learn
Last synced: 17 Apr 2026
https://github.com/mangesh-balkawade/pythonautomationsscripts
This is the repository which contains the python automations scripts and machine learning case studies , and Python Projects that I have write to learn automations and ML using python.
automation data-science machine-learning-algorithms matplotlib mongodb pandas python3 scikit-learn seaborn webscraping
Last synced: 13 Apr 2026
https://github.com/rosieoh/emergency_dataanalysis
오픈데이터분석-응급의료체계 방안 정책 제안 데이터 분석
ipython matplotlib numpy pandas python scikit-learn scipy
Last synced: 04 Apr 2026
https://github.com/thekartikeyamishra/data-preprocessor
A Google Colab module for interactive data preprocessing. Handles missing values, categorical encoding (One-Hot, Label), and numerical scaling (Standard, MinMax). Outputs a cleaned dataset
ipywidgets numpy pandas python scikit-learn
Last synced: 08 May 2026
https://github.com/belzebu013/prever_nivel_colesterol
Projeto de IA com algoritmo de Regressão Linear múltipla para prever o nível de colesterol de um individuo.
ia jupiter-notebook pandas python regressao-linear-multipla scikit-learn
Last synced: 17 Apr 2026
https://github.com/mryutaro/spla3clip
spla3clip: キル・デスした時刻を自動で解析するスプラトゥーン3用ツール
fastapi python react scikit-learn typescript
Last synced: 04 Apr 2026
https://github.com/rickyarians/ai-ml-nlp
Directory Machine Learning, Deep Learning, Artificial Int, Natural Language Processing Project
deep-learning machine-learning modeling python scikit-learn tensorflow
Last synced: 04 Apr 2026
https://github.com/27ahmad/movie-recommendation-system
Welcome to the Movie Recommendation System! This project uses Streamlit to provide personalized movie recommendations based on user preferences and similarity.
movie-recommendation numpy pandas python scikit-learn
Last synced: 04 Apr 2026
https://github.com/justsecret123/nba-players-stats-analysis
A quick interactive Notebook to visualize some NBA players stats (points, assists, steals, blocks...) and totals, rankings and comparisons. Feel free to add any player in the .csv data files. 🏀
csv ipython-notebook ipywidgets jupyter-notebook jupyterlab matplotlib pandas python scikit-learn seaborn
Last synced: 18 Apr 2026
https://github.com/lorenzorottigni/ml-breast-cancer
Machine Learning python bootcamp: Support Vector Machines using breast cancer dataset
ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines
Last synced: 14 Apr 2026
https://github.com/sentinel-ml/sentinel_ai
Machine Learning Model to detect fraud in financial systems
ai python pytorch scikit-learn security security-tools tensorflow
Last synced: 04 Apr 2026
https://github.com/adhadse/hands-on-machine-learning-book-notes-and-practice
This repo holds the Jupyter notebooks and datasets containing notes/comments on things I learned from this book. Feel free to use and learned from them.
data-science deep-learning jupyter-notebooks keras machine-learning python scikit-learn tensorflow
Last synced: 04 Apr 2026
https://github.com/anushrey10/fuel_efficiency_predictor
Welcome to the Fuel Efficiency Predictor! This advanced tool uses machine learning to predict your vehicle's fuel efficiency based on various characteristics.
decision-tree gradient-boosting-classifier html-css-javascript linear-regression machile-learning matplotlib python random-forest scikit-learn tailwindcss
Last synced: 18 Apr 2026
https://github.com/eugen-goebel/predictive-analytics-agent
Automated ML pipeline — data profiling, preprocessing, model training, and evaluation report generation
automation data-science docker machine-learning predictive-analytics python scikit-learn streamlit
Last synced: 05 Apr 2026
https://github.com/hariprasath-v/machinehack-analytics-olympiad-2022
Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.
catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap
Last synced: 18 Apr 2026
https://github.com/fareedkhan-dev/sales-linear-regression-sklearn
linear-regression machine-learning python scikit-learn
Last synced: 08 May 2026
https://github.com/elprofesoriqo/kagglecompetitions
Kaggle competitions projects
artificial-intelligence machine-learning python pytorch scikit-learn
Last synced: 05 Apr 2026
https://github.com/wb-az/peft-lora-opt-llm-emotion-analysis
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 supervised-finetuning
Last synced: 30 Dec 2025
https://github.com/manalisbhavsar/mall-customers-clustering
K-Means clustering to mall customer data, segmenting customers based on their annual income and spending score. To identify patterns and group customers for targeted marketing.
data-analysis data-visualization matplotlib numpy pandas python scikit-learn
Last synced: 18 Apr 2026
https://github.com/yashrajgithub/crop-recommendation
KrishiGyaan is a web app designed to help farmers make informed decisions on crop selection. By analyzing soil and environmental factors, the app provides personalized crop recommendations, enhancing agricultural productivity and promoting sustainable farming practices.
api artificial-intelligence crop-recommendation-system data-preprocessing data-visualization json machine-learning-algorithms pickle python random-forest-classifier scikit-learn streamlit supervised-learning train-test-split user-interface
Last synced: 05 Apr 2026
https://github.com/lexxai/goit_python_ds_hw_04
Модуль 4. Класифікація та оцінка роботи моделі. Лінійна регресія: перенавчання та регуляризація
lasso-regression linear-regression numpy pandas python red regression ridge-regression scikit-learn
Last synced: 05 Apr 2026
https://github.com/deepanshkhurana/udacityproject-prediciting-boston-housing-prices
This is a Udacity Project for the Machine Learning Nanodegree. Here, we are trying to predict Boston Housing Prices using sklearn.
data-analysis data-science machine-learning python scikit-learn udacity
Last synced: 08 May 2026
https://github.com/amiegirl/sentiment_analyzer_app
Sentiment Analysis and Deployment of Real-time Flipkart Product Reviews
aws aws-ec2 flask logistic-regression machine-learning naive-bayes-classifier pandas python random-forest-classifier scikit-learn wordcloud
Last synced: 05 Apr 2026
https://github.com/manojpatra1991/machine-learning-engineer-nanodegree
Machine Learning Engineer Nanodegree Projects - My Submissions
adaboost csv-files decision-tree html jupyter-notebook linear-regression machine-learning machine-learning-algorithms machine-learning-nanodegree naive-bayes-classifier python3 scikit-learn support-vector-machine
Last synced: 18 Apr 2026
https://github.com/mbarbetti/mediastinal-lymphoma-classification
Machine-learning-based classification of bulky mediastinal lymphomas using radiomic features
diagnosis-prediction lymphoma-classification machine-learning personalized-treatment precision-medicine radiomics-analysis scikit-learn texture-analysis
Last synced: 18 Apr 2026
https://github.com/alisonmitchell/titanic
Exploration of a subset of the Titanic passenger manifest to create a predictive classification model to determine which passengers were more likely to survive.
deep-learning keras machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn tensorflow
Last synced: 14 Apr 2026
https://github.com/kheriberto/linear_regression_ecommerce
Simple project showcasing crafting a linear regression model with SciKit Learn
data-analysis jupyter-notebook linear-regression pandas python scikit-learn seaborn
Last synced: 19 Apr 2026
https://github.com/oriolventur/assignment-2-model-creation
Assignment 2 from Artificial Intelligence 1 course: Model creation using synthetic data and scikit-learn.
jupyter-notebook model-creation python scikit-learn
Last synced: 08 May 2026
https://github.com/namratha2301/carprice_analysisandprediction
This project analyzes factors influencing vehicle prices using a dataset of various attributes, including Engine capacity, Power, Mileage, and Seating capacity.
data-analysis data-visualization exploratory-data-analysis machine-learning pandas predictive-modeling random-forest-classifier regression scikit-learn seaborn
Last synced: 20 Apr 2026
https://github.com/anjaliwork20/heart-failure-prediction
Heart Failure Prediction in Humans
failure-detection heart heart-disease machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn scikitlearn-machine-learning seaborn svc-model
Last synced: 21 Jan 2026
https://github.com/alphacrypto246/customer-churn
This project predicts customer churn using machine learning. It includes data preprocessing, exploratory analysis, model training, and evaluation to identify key factors driving churn and provide actionable insights for retention.
knn-classification machine-learning machine-learning-algorithms python scikit-learn scikitlearn-machine-learning
Last synced: 20 Apr 2026
https://github.com/simhayn/binary-classification
Alzheimer's disease detection using XGBoost and other prediction models.
alzheimer-disease-prediction binary-classification exploratory-data-analysis mental-health prediction-model python scikit-learn xgboost
Last synced: 20 Apr 2026
https://github.com/divyajnanakshi-cloud/phishing-detector
This project presents a Phishing Detection System implemented as a Chrome Extension designed to help users determine whether a website is legitimate or malicious
chrome-extension css hashing-algorithm html javascript python qr-code-processing random-forest scikit-learn steganography
Last synced: 14 Apr 2026
https://github.com/shingiraibhengesa/house-price-predictor
A machine learning project that predicts house prices based on user input features such as square footage, number of bedrooms, and more.
machine-learning-models matplotlib numpy python scikit-learn seaborn
Last synced: 09 May 2026
https://github.com/yogeshsinghkatoch9/advanced_nyc_housing_price_prediction
A robust ensemble learning framework for advanced NYC housing price prediction, leveraging global, clustered, and local ensembles with hyperparameter tuning.
data-science ensemble-learning housing-prices machine-learning new-york python scikit-learn
Last synced: 21 Apr 2026
https://github.com/waikato-datamining/spectral-data-converter-sklearn
Scikit-learn plugins for the spectral-data-converter library.
kasperl scikit-learn sdc seppl spectral-data
Last synced: 24 Apr 2026
https://github.com/cinnaavox/loan-prediction
Machine Learning project predicting loan approvals using Decision Tree Classification. Includes data cleaning, feature engineering, model evaluation and key business insights.
decision-trees matplotlib numpy pandas python scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/vishalgaud17/stroke
A simple Streamlit web app that predicts stroke risk based on user input features like age, BMI, glucose level, and lifestyle factors, using a pre-trained machine learning model.
machine-learning numpy pandas python scikit-learn streamlit
Last synced: 14 Apr 2026
https://github.com/capsuleismail/parkinsons-telemonitoring-dataset
Dataset used to predict Parkinson’s disease severity based on biomedical voice measurements.
data-science jupyter-notebook machinelearning-python scikit-learn
Last synced: 25 Apr 2026
https://github.com/sarangs1621/weather-prediction
Weather Prediction Using Machine Learning is a project that leverages machine learning algorithms to predict weather conditions based on historical data. It evaluates three popular ML models (Decision Tree, KNN, and Logistic Regression) and provides performance insights through metrics and visualizations.
data-analysis decision-tree jupyter-notebook knn logistic-regression machine-learning predictive-modeling python scikit-learn weather-prediction
Last synced: 25 Apr 2026
https://github.com/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/leolion3/smartnanotubes-smellinspector-companion
Companion software for the SmellInspector Devices from SmartNanoTubes. Allows specifying substances, connecting multiple devices, collecting data and performing machine learning.
docker machine-learning python3 reactjs scikit-learn smartnanotubes smellinspector
Last synced: 27 Apr 2026
