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: 2026-07-02 00:27:34 UTC
- JSON Representation
https://github.com/keven-rdr/rio-airbnb-predictor
Estudo de IA, utilizando modelos de previsão como o regressor para determinar valor de imóvel
airbnb ia kaggle php price regression-models scikit-learn
Last synced: 04 May 2026
https://github.com/msikorski93/protein-tertiary-structure
Performing a regression task for estimating residue size based on given physicochemical properties of protein tertiary structures (CASP 5-9).
bioinformatics gradient-boosting multilayer-perceptron-network protein-structure-prediction regression-algorithms scikit-learn tensorflow
Last synced: 04 May 2026
https://github.com/chathumiamarasinghe/nn-training-model
A comprehensive project for training neural networks to solve real-world problems. This repository includes customizable code for building, training, and evaluating neural network architectures using popular deep learning frameworks.
jupyter-notebook matplotlib numpy phyton scikit-learn
Last synced: 04 May 2026
https://github.com/jcm-ai/personal-data-science-projects
This page contains all of my personal data science projects. 📊📈📉👨💻
data-analysis data-visualization exploratory-data-analysis jupyter-notebooks machine-learning-algorithms matplotlib-pyplot numpy-library pandas-python personal-project predictive-modeling programming python3 scikit-learn scipy seaborn statistical-analysis
Last synced: 05 May 2026
https://github.com/simpl1fy/spam-classifier-project
A web application to classify spam texts or emails.
multinomial-naive-bayes nltk python render scikit-learn text-classification
Last synced: 05 May 2026
https://github.com/kriss024/anaconda-python-for-data-science-basic
Anaconda Python 3.8.8 with TensorFlow 2 Docker image
anaconda3 data-science docker jupyter-notebook machine-learning python python3 scikit-learn tensorflow2
Last synced: 05 May 2026
https://github.com/zafir100100/cancer-stage-prediction
This code predicts cancer data using various regression models, calculates their average R-squared scores, and prints the best model.
cross-validation data-analysis data-preprocessing decision-trees gradient-boosting linear-regression machine-learning-algorithms numpy pandas random-forest regression scikit-learn
Last synced: 05 May 2026
https://github.com/teja-1403/coursera-machine-learning-with-python-honors
This project involves building a classifier to predict rainfall for the next day based on weather data from the Australian Government's Bureau of Meteorology. Various machine learning techniques such as Linear Regression, KNN, Decision Trees, Logistic Regression, and SVM were implemented and evaluated.
classification hierarchical-clustering machine-learning regression scikit-learn scipy
Last synced: 05 May 2026
https://github.com/nandinimarepalli/ai_ml_internship_projects
Projects completed during my AI/ML and Data Expert internship, including EDA, machine learning models, and dashboard development using Python, pandas, scikit-learn, and visualization libraries.
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/aryar-06/linear-regression
A Python project demonstrating basic linear regression with gradient descent and matrix operations, alongside scikit-learn comparison.
data-analysis data-preprocessing educational-project gradient-descent linear-regression machine-learning python regression-algorithms scikit-learn
Last synced: 05 May 2026
https://github.com/vanilladucky/housing-prediction
This is a data analytics and machine learning project that I undertook using a housing dataset on Kaggle in order to put my machine learning knowledge to practice and some practical application.
data-science machine-learning python scikit-learn
Last synced: 05 May 2026
https://github.com/sevilaymuni/project-no.6-tree-based-models
Random Forest Assisted Suggestions for Salifort Motors Employee Retention: Plan, Analyze, Construct and Execute
data-science decision-trees evaluation-metrics gridsearchcv logistic-regression machine-learning matplotlib python random-forest-classifier scikit-learn seaborn-plots
Last synced: 05 May 2026
https://github.com/pjj11005/ml_with_pytorch_study
[머신 러닝 교과서: 파이토치 편] -> 학습한 코드 저장소
deep-learning graph-neural-networks machine-learning neural-networks pytorch scikit-learn transformer
Last synced: 06 May 2026
https://github.com/rishisolanke/twitter-sentiment-analysis-using-machine-learning-
A research project that classifies tweets as positive, negative, or neutral using ML algorithms (Logistic Regression, Naïve Bayes, SVM) with NLP preprocessing.
data-science data-visualization logistic-regression machine-learning ml-models naive-bayes natural-language-processing nlp scikit-learn sentiment-analysis svm text-classification twitter-data
Last synced: 06 May 2026
https://github.com/nicolas-giacomelli/modelo_regressao_linear_vendas
Modelo de regressão linear para previsão de vendas Desafio do curso de IA da RocketSeat
matplotlib pandas python3 scikit-learn
Last synced: 06 May 2026
https://github.com/radoslawregula/binary-classification-metrics
A model implementing a solution to the binary classification problem along with several accuracy metrics.
binary-classification classification jupyter-notebook machine-learning matplotlib pandas python scikit-learn stochastic-gradient-descent
Last synced: 06 May 2026
https://github.com/lazarust/jupyternotebooks
Storage spot for all my Jupyter Notebooks. Check some of them out!!
jupyter-notebook jupyter-notebooks keras scikit-learn sklearn
Last synced: 06 May 2026
https://github.com/shravya1125/dynamic-hospital-resource-allocation
A Dynamic Resource Allocation Framework for Hospital Management Using Risk-Aware Scheduling
allocator chartjs css dynamic flask flask-application hospital-management-system jinja2 machine-learning postman python real-time resource-management risk-prediction scikit-learn triage
Last synced: 12 Apr 2026
https://github.com/konnik88/heart-disease-ml-practice
Practice notebook on heart-disease risk with a small/noisy dataset: EDA → preprocessing → classic ML baselines (scikit-learn). Not for clinical use
classification eda healthcare heart-disease imbalanced-data jupyter-notebook machine-learning model-evaluation optuna reproducibility scikit-learn
Last synced: 18 May 2026
https://github.com/raduldev/ml-projects
End To End Machine Learning Project guided by Krish Naik from Ineuron.
catboost dill flask-application numpy pandas python scikit-learn xgboost
Last synced: 12 Apr 2026
https://github.com/matheusadc/valorizai
Projeto que tem como objetivo a previsão do preço de casas.
jupyter-notebook pandas scikit-learn
Last synced: 11 May 2026
https://github.com/arrhythmia-detection/arrhythmiadetectionmodels
This repository contains ML codebase developed during CSE713 group project
arrhythmia-detection deep-neural-nets esp32-s3 scikit-learn tensorflow tensorflow-lite tinyml
Last synced: 12 Apr 2026
https://github.com/tanaybhadula/ml-preprocessing-cli
A CLI tool with python to preprocess datasets for performing supervised learning to save time for users. Input data can be preprocessed using simple commands and preprocessed dataset can be downloaded later
cli data-cleaning data-preprocessing machine-learning pandas python scikit-learn
Last synced: 10 May 2026
https://github.com/sneha1012/ml-dl
Implementing concepts and algorithms from scratch.
deep-learning machine-learning matplotlib numpy-tutorial scikit-learn
Last synced: 18 May 2026
https://github.com/sohang3112/stock-prediction-mlops
Stock Prediction MLOps group project for IIT Madras MTech (AI).
mlops python scikit-learn stock-price-prediction
Last synced: 20 Jun 2026
https://github.com/nickklos10/seriea_machine_learning_predictions_2025
This project involves scraping data, processing the data, and building machine learning models to predict the standings for the 2024-2025 Serie-A season.
beatifulsoup data-scraping keras matplotlib pandas scikit-learn shap tensorflow
Last synced: 13 Apr 2026
https://github.com/karan-malik/advancedregression
Using Various Regression Algorithms to Predict House Sales
adaboost-algorithm decision-tree-regression decision-trees gradient-boosting-regressor house-price-prediction linear-regression machine-learning machine-learning-algorithms python python3 random-forest-classifier random-forest-regressor regression regression-algorithms regression-models scikit-learn scikitlearn-machine-learning support-vector-regression svm
Last synced: 24 Apr 2026
https://github.com/gititsid/visaverdict
A ML project to predict possibility of US Visa approval
classification python3 random-forest-classifier scikit-learn
Last synced: 03 Feb 2026
https://github.com/lorenzorottigni/ml-universities
Machine Learning python bootcamp: K mean clustering with public/private universities dataset
k-mean-clustering machine-learning numpy pandas python scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/aleksandarbuk/machine-learning
The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.
matplotlib numpy python scikit-learn tensorflow
Last synced: 16 Apr 2026
https://github.com/charlescro/reddit-classification-nlp
Analyzing subreddit language via Reddit API and NLP techniques.
data-analysis data-science data-visualization nlp-machine-learning reddit-api scikit-learn
Last synced: 03 Apr 2025
https://github.com/gangula-karthik/bank-transaction-classification
Classifying bank transactions with precision—your first step towards smarter finance management 💳🤖📊
finance machine-learning nlp scikit-learn
Last synced: 09 Apr 2025
https://github.com/cplaza0997/py-ml
Machine learning
clustering linear-regression logistic-regression ml pyspark python scikit-learn sparkml
Last synced: 11 May 2026
https://github.com/antonio-f/k_nearest_neighbors
Quick k-nearest neighbors example
easy k-nearest-neighbors knn machine-learning matplotlib python scikit-learn visualization
Last synced: 11 May 2026
https://github.com/otuemre/housepricingml
A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.
eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression
Last synced: 13 Apr 2026
https://github.com/sabin74/loan_approval_prediction
This project predicts whether a loan application will be approved or not using machine learning classification models. The dataset used is from Kaggle’s Loan Prediction problem. The goal is to build a robust model to assist banks or financial institutions in making automated loan approval decisions.
classification-models kaggel-dataset loan-approval-prediction matplotlib-seaborn pandas python scikit-learn
Last synced: 30 Apr 2026
https://github.com/tapas-gope/telecommunication-customer-churn
This project involves predicting customer churn in a telecommunications company using machine learning techniques, exploring various features' impact, optimizing models, and identifying key factors influencing churn.
feature-engineering matplotlib-pyplot model-evaluation-and-validation numpy pandas python scikit-learn
Last synced: 12 Sep 2025
https://github.com/venky-1710/superhero-recruitment
Superhero Recruitment System predicts hero selection using machine learning. Users input hero attributes through a web interface. A Random Forest model analyzes abilities, strengths, weaknesses, success rates, and missions completed. The Flask app displays results, showing if a hero is selected.
css flask html numpy pandas python scikit-learn
Last synced: 07 Apr 2026
https://github.com/linggarm/covid-19-tweets-classification
Classification of Covid-19 Tweets using Multinomial Naive Bayes and TF-IDF Vectorizer to categorize tweets about Covid-19 into three main classes
artificial-intelligence classification covid-19 data-science google-colab machine-learning multinomial-naive-bayes naive-bayes natural-language-processing nlp python sastrawi scikit-learn text-classification tf-idf tweepy tweets tweets-classification twitter vaccine
Last synced: 11 May 2026
https://github.com/supriya811106/twitter-sentiment-analysis
Analyzing the mood of tweets! We sort tweets on popular topics into positive, negative, or neutral categories to gauge public opinion. See what Twitter really thinks!
bernoulli-naive-bayes jupyter-notebook matplotlib nlp-machine-learning nltk numpy pandas python scikit-learn seaborn sentiment-analysis text-classification tfidf-vectorizer wordcloud
Last synced: 05 Apr 2026
https://github.com/abdelrahman-amen/housing-price
Predicting housing prices with machine learning regression models. This project implements Linear Regression, Random Forest, and Decision Tree models for accurate predictions.
decision-tree housing-price-prediction linear-regression machine-learning python random-forest regression-analysis scikit-learn
Last synced: 07 May 2026
https://github.com/murugavl/crop-prediction
This Crop Prediction System utilizes machine learning to recommend suitable crops based on environmental data. It helps farmers make informed decisions by analyzing factors like soil type and climate. The system aims to enhance agricultural efficiency and productivity.
flask machine-learning python scikit-learn
Last synced: 12 Jun 2025
https://github.com/purcellcjp/credit-risk-classification
This project utilized Python and scikit-learn libraries to train and evalute a Machinge Learning model based on loan risk.
machine-learning numpy pandas-dataframe python scikit-learn
Last synced: 12 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/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/lexxai/goit_python_ds_hw_06
Модуль 6. Навчання без вчителя. Кластерізація. KMeans. Principal Component Analysis
dbscan-clustering hdbscan-clustering kmeans kmeans-clustering opentsne optics-clustering pca python scikit-learn tsne
Last synced: 18 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/alphacrypto246/stock-price-movement-prediction
A project leveraging Polynomial Regression to predict stock price movements based on historical data. Includes data preprocessing, feature engineering, visualization, and model evaluation to provide insights for informed trading decisions.
machine-learning numpy pandas polynomial-regression scikit-learn yfinance
Last synced: 13 Apr 2026
https://github.com/vikneshsrv24/customer-segmentation
Segregation of customers based on purchasing pattern for targeted marketing.
jupyter-notebook matplotlib pandas python scikit-learn
Last synced: 13 Apr 2026
https://github.com/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/amidug/brazilpipeline
fastapi keras mlflow python scikit-learn tensorflow xgboost
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/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/mahdimotamedi/ai-examples
AI Examples Repository showcasing machine learning and deep learning examples using Scikit-Learn and TensorFlow.
ai deep-learning machine-learning nerual-networks scikit-learn tensorflow
Last synced: 13 Apr 2026
https://github.com/eesunmoon/applied_machine_learning
[Fall 2024] Applied Machine Learning
applied-machine-learning clustering cnn data-preprocessing eda linear-regression machine-learning matplotlib neural-networks nltk-python numpy pandas pca python scikit-learn seaborn tensorflow text-classification
Last synced: 13 Apr 2026
https://github.com/mahdibehoftadeh/polynomial-regression-co2-emissions
A simple machine learning polynomial regression using a large dataset to learn and predict CO2 emission of a car by its built features like engine size and cylinders
machine-learning matplotlib numpy nural-network pandas polynomial-regression python scikit-learn
Last synced: 22 Feb 2026
https://github.com/murugavl/customer_churn_prediction
Customer churn prediction is a crucial task in business analytics, helping companies identify customers who are likely to leave and take preventive actions. This project utilizes Machine Learning (ML) techniques to analyze customer behavior and predict churn.
jupyter-notebook machine-learning matplotlib numpy pandas pickle python scikit-learn streamlit
Last synced: 13 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/mostafa-ghaith/deadlift-o-meter
Deadlift-o-Meter is a project that utilizes a Scikit-Learn model, Mediapipe, and Tkinter to count correct deadlift reps using a live webcam feed. The application analyzes the user's body movements and provides real-time feedback on their performance.
body-movement-classification computer-vision deadlift landmark-detection live-webcam-analysis mediapipe pose-estimation rep-counter scikit-learn tkinter
Last synced: 07 May 2026
https://github.com/taimoorkhan10/ai-model-collection-zoo
A comprehensive collection of various AI models, accessible via a unified RESTful API and a user-friendly web interface.
artificial-intelligence cicd computer-vision data-science deep-learning docker examples keras machine-learning modeldeployment natural-language-processing neural-networks python pytorch restful-api scikit-learn tensorflow testing webapplication
Last synced: 13 Apr 2026
https://github.com/hilarionengarejr/movie-recommender-app
Sentiment analysis on user reviews for movie recommendations using Content Based Filtering.
docker flask nltk numpy pandas python3 scikit-learn selenium
Last synced: 10 Apr 2026
https://github.com/nandahkrishna/flightdelay
Flight Delay Prediction using ML
classification flight-delay-prediction jupyter-notebook machine-learning python regression scikit-learn two-stage
Last synced: 09 May 2026
https://github.com/oenm176/hmeq-loan-analysis
Menggali wawasan dari dataset Home Equity (HMEQ). Proyek ini membangun model klasifikasi untuk mendeteksi kredit macet, yang menampilkan pra-pemrosesan data lengkap, normalisasi, dan visualisasi pohon menggunakan Python.
classification-model credit-risk-analysis data-mining data-science data-visualization decision-tree hmeq-dataset machine-learning python scikit-learn student-project
Last synced: 13 Apr 2026
https://github.com/kizman-23/supervised_models
Classical prediction of future data using models trained by labeled data
numpy pandas scikit-learn supervised-machine-learning
Last synced: 13 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/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/tusharpandey003/iris-flower-classification
Iris flower classification using KNN and Random forest algorithm
data-science iris iris-classification iris-data iris-dataset iris-detection iris-flower-classification iris-flowers knn-classification machine-learning-algorithms random-forest scikit-learn streamlit
Last synced: 13 Apr 2026
https://github.com/akashwav/fake-news-detection
📰 A complete NLP project that takes a news dataset, builds a highly accurate classification model, and deploys it as a live web application using Streamlit and GitHub.
data-science fake-news-detection machine-learning nlp nltk pandas python scikit-learn spacy streamlit text-classification
Last synced: 11 Apr 2026
https://github.com/danishtalpur/sentiview-website
SentiView is a sentiment analysis tool designed to analyze and interpret the emotions behind tweets on Twitter. The platform processes textual data from user-generated tweets to determine the sentiment behind them—whether they are positive, negative, or neutral.
css flask html java naive-bayes-classifier scikit-learn twitter-sentiment-analysis
Last synced: 16 Apr 2026
https://github.com/no-country-simulation/s16-21-n-data-bi
Analisis del COVID-19 - insights sobre la evolución de la pandemia - impacto en 5 paises sudamericanos.
eda etl machine-learning matplotlib pandas powerbi python scikit-learn seabron streamlit
Last synced: 28 Apr 2025
https://github.com/santoshn86/dlp-ev-system-for-pa-optimization
This system is a game-changer, enabling smarter energy management through predictive insights and personalized optimization strategies.
aiml django flask keras pytorch scikit-learn tensorflow typescript
Last synced: 13 Apr 2026
https://github.com/sorabh-kapoor/face-recognition-attendance-system
The Facial Recognition System is an AI-powered application USING FLASK designed to detect and recognize faces with high accuracy. This system can be integrated into various applications, including security systems, attendance management, and identity verification.
flask flask-application knn ml numpy opencv pandas python scikit-learn
Last synced: 13 Apr 2026
https://github.com/gsmafra/sklearn-dummies
Scikit-learn label binarizer with support for missing values
data-science machine-learning pandas python scikit-learn
Last synced: 15 Jan 2026
https://github.com/apfirebolt/spam_email_classifier
An Email classifier using CountVectorizer and Naive Bayes strategy. PyQt5 is used for GUI
count-vectorizer naive-bayes-classifier pandas pyqt5 python scikit-learn
Last synced: 08 May 2026
https://github.com/adrianmarino/knn-cf-rec-sys
Similarity CF based RecSys examples
python recommender-system scikit-learn
Last synced: 08 May 2026
https://github.com/arindal1/breast-cancer-detection
A simple Neural Network model to detect Breast Cancer.
machine-learning neaural-network scikit-learn tensorflow
Last synced: 13 Apr 2026
https://github.com/nicolascoiado/nivel-mar
Este projeto realiza uma análise detalhada do nível médio global do mar (GMSL), utilizando uma base de dados pública que abrange medições históricas. O objetivo é explorar tendências, calcular a taxa média de elevação e visualizar os dados por meio de gráficos.
google-colab jupyter-notebook matplotlib numpy pandas python python3 scikit-learn
Last synced: 11 Mar 2025
https://github.com/hetuvpatel/brain-stroke-prediction
Machine Learning project for predicting stroke risk using healthcare data. Includes EDA, preprocessing, SMOTE, feature selection (RFE), evaluation of Logistic Regression, Decision Tree, Random Forest, KNN, SVM, and Stacked Ensemble models.
data-mining ensemble-learning healthcare machine-learning predictive-modeling python rfe scikit-learn smote
Last synced: 17 May 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/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/mastermindromii/car-price-prediction-model
Here is My Regression Project based on Predicting Price of Car using Linear Regression.
linear-regression matplotlib numpy pandas python scikit-learn seaborn
Last synced: 13 Apr 2026
https://github.com/vishant007/annadataa
A Website For Farmers To Guide Them Regarding Crop Prouction In Their Native Language
django flask-application google-collab kaggle machine-learning-algorithms numpy pandas python3 scikit-learn
Last synced: 13 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/hilalozdemirbuyukasik/deep-learning
A collection of deep learning projects demonstrating RNNs, BiLSTMs, CNNs, and basic neural networks applied to time series forecasting, text sentiment analysis, image classification, and tabular data tasks, with examples of data preprocessing, model training, evaluation, and visualization.
bilstm cnn keras matplotlib nn numpy rnn scikit-learn tensorflow
Last synced: 12 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/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/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/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/g-eoj/kaggle-rotten-tomatoes
Movie review sentiment analysis with the Stanford parsed Rotten Tomatoes dataset.
cross-validation nlp nltk rotten-tomatoes scikit-learn
Last synced: 12 May 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/srosalino/prediction_of_seoul_bikes_demand
The objective of this project is to predict the number of bicycles needed to be made available each hour in order to make the service as efficient as possible
cross-validation data-exploration-and-preprocessing hyperparameter-tuning machine-learning regularization-methods scikit-learn
Last synced: 13 May 2026
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
