scikit-learn | Ecosyste.ms: Awesome

https://github.com/kunalpisolkar24/dsbda_lab

Collection of practical codes for Savitribai Phule Pune University's Data Science and Big Data Analytics Laboratory (310256).

data-analytics data-preprocessing data-science data-wrangling descriptive-statistics linear-regression logistic-regression mapreduce scala scikit-learn sppu-computer-engineering tf-idf

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/keneandita/iris-intel

Iris Flower Classifier is a simple web app built with Streamlit that predicts the species of an Iris flower based on user-input flower features. It uses pre-trained machine learning models including Logistic Regression, K-Nearest Neighbors, SVM, and Decision Tree to make real-time predictions.

iris-classification jupyter-notebook machine-learning python scikit-learn streamlit

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/billgewrgoulas/recommendation-systems

Algorithms for joke rating prediction using the joke data-set from Kaggle.

algorithm clustering collaborative-filtering machine-learning numpy pandas recommender-system scikit-learn scypi

Last synced: 06 May 2026

https://github.com/5hraddha/optimize-oil-well-locations

In the quest for harnessing valuable energy resources, the OilyGiant mining company wants to expand its operations by discovering new oil well locations. To achieve this, a data-driven approach is adopted, leveraging geological exploration data from three distinct regions and employing techniques in data analysis and modeling.

linear-regression numpy pandas scikit-learn supervised-learning

Last synced: 06 May 2026

https://github.com/msikorski93/predicting-prices-on-king-county-housing-dataset

Predicting house prices using different regression analysis models.

catboost eda gradient-boosting king-county lightgbm linear-regression machine-learning neural-network polynomial-regression real-estate regression-models scikit-learn tensorflow xgboost

Last synced: 06 May 2026

https://github.com/dwade-eng/customer-lead-conversion-analysis

This project explores a real-world lead conversion dataset, using a structured machine learning pipeline to classify leads into likely or unlikely converters. It includes complete steps from data wrangling and visualization to feature engineering and model evaluation.

html matplotlib pandas python3 scikit-learn seaborn

Last synced: 06 May 2026

https://github.com/ejw-data/ml-playground

Testing the limitations, inabilities, and strengths of models with synthetic data

machine-learning python scikit-learn

Last synced: 06 May 2026

https://github.com/barbarpotato/applied-data-science-with-python-specialization

This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network.

data-science matplotlib pandas scikit-learn

Last synced: 06 May 2026

https://github.com/kartheekdama/salary-prediction

This salary prediction model leverages machine learning techniques, including Random Forest, Decision Tree, and Linear Regression, to estimate salaries based on individual attributes such as age, gender, education level, job title, and years of experience. The Random Forest model outperforms the others, achieving the highest R-squared score.

decision-tree exploratory-data-analysis feature-importance linear-regression machine-learning random-forest scikit-learn

Last synced: 06 May 2026

https://github.com/blacknahil/spam-detection

A simple web application for detecting spam messages using a machine learning model. The application is built using Flask and provides an interactive interface for users to input a message and get a prediction whether it is spam or ham along with the probability.

flask html-css-javascript pandas scikit-learn

Last synced: 06 May 2026

https://github.com/eshrathaziz/heart-disease-risk-assessment

Predicting heart disease risk using machine learning for Healthcare Insights.

data-science jupyter-notebook learning machine python scikit-learn

Last synced: 07 May 2026

https://github.com/z-fran/walmart-store-sales-forecasting

Data analysis and machine learning solution in Python for the Kaggle competition Walmart Recruiting - Store Sales Forecasting.

machine-learning sales-analysis sales-forecasting sales-prediction scikit-learn walmart-sales-forecasting

Last synced: 07 May 2026

https://github.com/govind-prakash/machinelearning

A collection of my machine learning projects, tutorial exercises, algorithm implementations, and related code.

decision-trees gradientboostinclassifier linear-regression logistic-regression scikit-learn unsupervised-learning

Last synced: 07 May 2026

https://github.com/pspanoudakis/machine-learning-nlp

NLP 🤖 📖 projects on Vaccine Sentiment Classification 💉 and Question Answering 💬

bert-fine-tuning glove-embeddings neural-networks pytorch question-answering rnn scikit-learn sentiment-classification softmax-regression squad

Last synced: 07 May 2026

https://github.com/random-iceberg/model-backend

fastapi scikit-learn

Last synced: 07 May 2026

https://github.com/andrewsy1004/linear-regression-model-for-house-price-prediction

A linear regression model to predict house prices based on features like size, location, and number of rooms. This project demonstrates the application of machine learning in real estate price estimation

linear-regression python scikit-learn xgbregressor

Last synced: 07 May 2026

https://github.com/tedim52/discjockey

a content-based recommender system for your party playlist preferences

jupyter-notebook matplotlib pandas scikit-learn spotify-web-api

Last synced: 07 May 2026

https://github.com/ynsrc/machine-learning

Machine Learning Examples

classification data-science machine-learning machine-learning-algorithms matplotlib nlp nlp-machine-learning regression scikit-learn sklearn

Last synced: 07 May 2026

https://github.com/moustafamohamed01/mall-customer-segmentation-data

Customer segmentation using K-Means clustering based on annual income and spending score.

data-science data-visualization k-means-clustering machine-learning python scikit-learn unsupervised-learning

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/samjoesilvano/password_strength_prediction_using_nlp

Developed a predictive model to categorize passwords as Strong, Good, or Weak, enhancing security and reducing breach risks. The project involves cleaning and analyzing data from an SQL database, using the TF-IDF technique for transformation, and implementing a Logistic Regression model to achieve accurate classifications.

data-analysis data-classification data-cleaning data-visualization logistic-regression machine-learning natural-language-processing pandas password-security password-strength python scikit-learn sql tf-idf

Last synced: 08 May 2026

https://github.com/jatin-mehra119/churn_modeling

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

classification-model datavisualization pandas scikit-learn

Last synced: 08 May 2026

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

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

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

Last synced: 08 May 2026

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

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

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

Last synced: 08 May 2026

https://github.com/vijaykumarr1452/customer-churn-prediction

Analysis the data of telecom company and insights gained to reduce customer churn.

anaconda jupyter-notebook machine-learning pandas prediction scikit-learn

Last synced: 09 May 2026

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

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

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

Last synced: 09 May 2026

https://github.com/alphacrypto246/employee-attrition

This project analyzes employee attrition data to uncover key factors driving employee turnover. Using Python, it employs data preprocessing, exploratory data analysis, and machine learning models to predict attrition and provide actionable insights for improving employee retention strategies.

decision-tree-classifier machine-learning machine-learning-algorithms python scikit-learn scikitlearn-machine-learning

Last synced: 09 May 2026

https://github.com/mpolinowski/multi-dimensional-scaling

Multidimensional Scaling is a family of statistical methods that focus on creating mappings of items based on distance.

matplotlib-pyplot multi-dimensional-scaling python scikit-learn

Last synced: 09 May 2026

https://github.com/adadalshabab/human-stress-analysis-greadsearch-classifier

The project leverages data from physiological signals, self-reported surveys, behavioral observations, or other relevant sources to infer and analyze stress levels.

classification knn-classification machine-learning machine-learning-algorithms matplotlib pandas scikit-learn

Last synced: 09 May 2026

https://github.com/rajan-bhateja/aqi-predictor

Different models trained on Indian Cities to predict AQI

machine-learning-algorithms model-comparison neural-networks scikit-learn tensorflow

Last synced: 09 May 2026

https://github.com/jaswanthv99/basic_ml-model_understanding

This project explains basic ML-Models(KNN, Naive bayes, Logistic Regression, SVM, A neural N/W)

matplotlib-python pandas-python scikit-learn tensorflow

Last synced: 09 May 2026

https://github.com/jaewonson37/advanced_machine_learning

bayesian-data-analysis classification-algorithm ensemble-learning kernel-density-estimation kernel-principle-components monte-carlo-simulation scikit-learn spark

Last synced: 09 May 2026

https://github.com/mpolinowski/fisher-discriminant-analysis

LDA is a widely used dimensionality reduction technique built on Fisher’s linear discriminant.

linear-discriminant-analysis matplotlib-pyplot python scikit-learn

Last synced: 10 May 2026

https://github.com/naufal-yafi/text-mining-nb.model

Text mining using Naive Bayes algorithm

clasification data-science machine-learning naive-bayes-algorithm python3 scikit-learn streamlit-webapp text-mining

Last synced: 10 May 2026

https://github.com/macdon112/credit-card-fraud-detection

Comparing ML models (Random Forest, KNN, Decision Tree) for credit card fraud detection using SMOTE and stratified cross-validation.

classification data-analysis fraud-detection imbalanced-data machine-learning python scikit-learn

Last synced: 10 May 2026

https://github.com/aneeshmurali-n/nlp-emotion-classification-in-text

Develop machine learning models to classify emotions in text samples.

bag-of-words data emotion-classification feature-extraction machine-learning naive-bayes natural-language-processing nlp nltk preprocessing python scikit-learn svm text-classification tf-idf tokenizer vectorizer

Last synced: 10 May 2026

https://github.com/zescalante/data1030-final-project

Final project for DATA1030

data-science machine-learning scikit-learn

Last synced: 10 May 2026

https://github.com/tnleite/real-estate-opportunities-analysis

Este repositório apresenta uma análise de oportunidades no mercado imobiliário, combinando séries temporais, clusterização e previsões para identificar estados com maior potencial de crescimento e orientar estratégias de expansão eficientes.

catboostregressor cluster-analysis data-science kmeans-clustering lightgbm-regressor machine-learning-algorithms numpy regression-models scikit-learn xgboost-regression

Last synced: 10 May 2026

https://github.com/dtroupe18/statsfinalproject

Simple ML project using UCI dataset

abalone jupyter-notebook linear-regression machine-learning mathplotlib python3 scikit-learn uci-machine-learning

Last synced: 11 May 2026

https://github.com/mpolinowski/tstochastic-neighbor-embedding

Improve Data Quality by discarding non-correlating, noisy Dimensions

matplotlib-pyplot python scikit-learn t-sne

Last synced: 11 May 2026

https://github.com/pdoup/atml-notebooks

Proposed assignment notebooks for Advanced Topics in Machine Learning tasks

active-learning cost-sensitive-learning imbalanced-data machine-learning multi-instance-learning multi-label-classification numpy scikit-learn

Last synced: 11 May 2026

https://github.com/anras5/criteo-search-data

EDA and statistical tests on CriteoSearchData dataset

data-science pandas scikit-learn statistics

Last synced: 11 May 2026

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/rajireddy15/student_grade_pred

A machine learning project to predict student final grades using academic and demographic data. Built with pandas, scikit-learn, and visualized with seaborn and matplotlib to gain insights and support early intervention for students.

academic-insights data-science eda education-analytics grade-prediction machine-learning ml-project pandas regression-models scikit-learn student-performance-analysis

Last synced: 11 May 2026

https://github.com/cptanalatriste/copycat-detector

A Naive-Bayes classifier for detecting plagiarism.

amazon-sagemaker naive-bayes-classifier scikit-learn

Last synced: 12 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/msikorski93/heart-failure-prediction

The subject of this repository was to perform binary classification based on respondent's collected features (age, cholesterol level, fasting blood sugar, thallium stress test results, etc.).

classification knn-classifier logistic-regression random-forest-classifier roc-curves scikit-learn svm-classifier

Last synced: 13 May 2026

https://github.com/sedefkjamili/dengai-ml-prediction

Machine learning project for predicting dengue fever outbreaks using climate and environmental data.

data-science dengue gradient-boosting healthcare machine-learning python scikit-learn time-series

Last synced: 12 Jun 2026

https://github.com/arjunan-k/medical_insurance

Project to analyze and forecast medical insurance costs of patients using data science framework.

medical-insurance scikit-learn tableau

Last synced: 12 Jun 2026

https://github.com/nayutalienx/osu-skill-predictor

ML-powered osu! pass probability & accuracy predictor with real-time overlay. Standalone Windows bundle available.

fastapi machine-learning osu overlay predictor scikit-learn

Last synced: 14 Jun 2026

https://github.com/jayemscript/lab-to-code

A complete Python learning roadmap for scientists and researchers — covering data science, biology, chemistry, physics, and mathematics with curated libraries, tools, and resources.

bioinformatics chemistry data-science jupyter-notebook machine-learning mathematics numpy pandas physics python research roadmap scientific-computing scikit-learn

Last synced: 19 Jun 2026

https://github.com/latiefdatavisionary/scikit-learn-with-indonesia-belajar

scikit-learn scikit-learn-api scikit-learn-benchmarks scikit-learn-download scikit-learn-exercises scikit-learn-installer scikit-learn-ml scikit-learn-pipelines scikit-learn-python scikit-learn-tutorial scikitlearn-machine-learning

Last synced: 20 Jun 2026

https://github.com/imosudi/unsupervised-ml-kmeans-analysis

K-Means clustering analysis using synthetic datasets generated with scikit-learn, including meshgrid visualisation, silhouette score evaluation, and investigation of cluster count and random seed effects.

clustering data-analysis jupyter-notebook kmeans kmeans-clustering machine-learning matplotlib python3 scikit-learn silhouette-score unsupervised-learning

Last synced: 25 Jun 2026

https://github.com/vevdokimovm/python-qa-course

Jupyter notebooks from a Python + Machine Learning course — sklearn, linear regression, data analysis

data-science jupyter machine-learning python scikit-learn

Last synced: 27 Jun 2026

https://github.com/douglasdrake/svclassifier

Fitting a support vector classifier to the Kepler Exoplanet Search data set.

jupyter python scikit-learn support-vector-classifier tree-decision-classifier yeo-johnson-transformations

Last synced: 29 Jun 2026

https://github.com/djdhairya/parkinson-s-disease-detection

datapreprocessing machine-learning modeling numpy pandas scikit-learn svm

Last synced: 15 Apr 2026

https://github.com/glennx1/heartdrive

ML-powered heart disease predictor using Streamlit, featuring data preprocessing, visualization, and user input interface.

matplotlib pandas python scikit-learn seaborn streamlit

Last synced: 29 Apr 2026

https://github.com/chengetanaim/beatrecommendersystembackend

A system for music producers and rappers/singers. I was trying to implement the product recommendation feature for music uploaded by producers. I used the collaborative filtering algorithm to be able to recommend songs to users.

fastapi scikit-learn sqlalchemy unsupervised-learning

Last synced: 06 Feb 2026

https://github.com/lau1944/coronavirus-world-prediction

Coronavirus Case Confirmed Trend Around The World

coronavirus pandas python scikit-learn

Last synced: 15 Apr 2026

https://github.com/nathan-lindstedt/student_risk

Student Success Model (SSM)

fairlearn machine-learning scikit-learn shap student-risk xgboost

Last synced: 30 Jan 2026

https://github.com/gunjangyl/iris-detection

The Iris Detection Project classifies different species of Iris flowers using machine learning techniques. It analyzes four key features—sepal length, sepal width, petal length, and petal width—to predict one of three classes: Setosa, Versicolor, or Virginica. The project uses algorithms like KNN, Decision Trees, or SVM for classification. Model pe

knn-classification matplotlib python scikit-learn seaborn

Last synced: 15 Apr 2026

https://github.com/emv271828/diabetes_cdc_uci_machine_learning

Segunda avaliação para a disciplina de Inteligência Artificial da Universidade Federal Fluminense.

jupyter-notebook machine-learning pandas python scikit-learn

Last synced: 15 Apr 2026

https://github.com/sarmad426/ai

AI basic to advanced featuring Machine Learning, Deep Learning and Data Science.

ai data-science deep-learning hugging-face machine-learning numpy pandas python scikit-learn

Last synced: 15 Apr 2026

https://github.com/samiyaalizaidi/nn-ml-homeworks

Homework solutions for CPE-4903: Neural Networks & Machine Learning at Kennesaw State University.

machine-learning machine-learning-workflow neural-networks numpy scikit-learn

Last synced: 15 Apr 2026

https://github.com/idaraabasiudoh/telco-churn-logistic-regression

A predictive model using logistic regression to identify customers likely to churn from a telecommunications company.

logistic-regression machine-learning python3 scikit-learn

Last synced: 01 Feb 2026

https://github.com/udacity-machinelearning-internship/more-spam-classifying

Implementing more spam classifying using Ensemble Methods in python

classification jupyter jupyter-notebook machine-learning pandas python scikit-learn sklearn

Last synced: 15 Apr 2026

https://github.com/marcusjhang/nvda-timeseriesanalysis

NVDA stock price predictor (WIP)

keras lstm pandas scikit-learn time-series-analysis

Last synced: 15 Apr 2026

https://github.com/sharkb8t/credit-risk-classification

Demonstrates my abilities to use Jupyter Notebook with scikit-learn to train and evaluate a machine learning model.

jupyter-notebook numpy pandas pathlib python scikit-learn

Last synced: 15 Apr 2026

https://github.com/sarowarahmed/predicting-kolkata-house-price

🏠 Predicting Kolkata House Price: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to predict house prices in Kolkata. Deployed on Streamlit Cloud for easy access and real-time predictions.

app kolkata linear-regression machine-learning numpy pandas scikit-learn streamlit

Last synced: 26 Feb 2026

https://github.com/0eix/ibm-ds-spacex-falcon9

IBM Professional data science certificate Final Project Notebooks

data-science data-visualization exploratory-data-analysis ibm poetry scikit-learn shap

Last synced: 11 Feb 2026

https://github.com/nurulashraf/predictive-maintenance-analysis-for-machine-failure-prevention

Predictive maintenance analysis for machine failure prevention using sensor data and ML. Built a Random Forest model and Gradio dashboard to identify high-risk machines for proactive maintenance.

data-science failure-prediction gradio industrial-iot machine-learning power-bi predictive-maintenance python scikit-learn

Last synced: 16 Apr 2026

https://github.com/cego669/dirtycategoriesencoding

Repository containing two classes (StringAgglomerativeEncoder and StringDistanceEncoder) useful for grouping or visualizing the distance between dirty categorical variables. They are compatible with the scikit-learn API.

category clustering dimensionality-reduction dirty hierarchical-clustering machine-learning scikit-learn singular-value-decomposition svd

Last synced: 11 Feb 2026

https://github.com/selcia25/iris-dataset-classification

☘This repository contains a Python script for classifying the Iris dataset using the Random Forest algorithm.

data-processing iris-classification pandas random-forest-classifier scikit-learn

Last synced: 16 Apr 2026

https://github.com/s0fft/airline-passenger-satisfaction

Airline-Customer-Model — Machine Learning Project on: Scikit-learn / Pandas / Matplotlib / Seaborn

jupyter-notebook mashine-learning matplotlib pandas python3 scikit-learn seaborn

Last synced: 12 Feb 2026

https://github.com/manjit-baishya-datascience/spam-email-detection

This project demonstrates how to build a spam detection system using Natural Language Processing (NLP) and machine learning techniques.

imblearn nlp nlp-machine-learning nltk scikit-learn spam-detection

Last synced: 12 Feb 2026

https://github.com/cinodon/outlier-detection-saas-tfg

Outlier Detection System in SaaS Access Data

anomaly-detection clustering outlier-detection saas scikit-learn unsupervised-learning

Last synced: 13 Feb 2026

https://github.com/officio-indrajeet/implementation-of-the-component-wise-peak-finding-algorithm

code-optimization density-based-clustering faiss matplotlib numpy pandas python3 scikit-learn scipy seaborn

Last synced: 14 Feb 2026

https://github.com/gliuck/diabetesprediction

Machine learning exam project, focused on predicting diabetes based on health and demographic data. The project uses models like Logistic Regression, KNN, SVM and NN to analyze and predict the likelihood of diabetes in individuals.

machine-learning machine-learning-models numpy-library pandas-library prediction-model python scikit-learn

Last synced: 14 Feb 2026

https://github.com/hlexnc/project-arepo

Data-driven stroke risk assessment & personalized recommendations, powered by machine-learning and an NLU-driven chatbot.

chatbot data-analysis docker docker-compose machine-learning nlu-chatbot python rasa scikit-learn sklearn streamlit

Last synced: 15 Feb 2026

https://github.com/ramezze/virtualmouse-handtracking

A python application to control mouse functions using hand gestures leveraging MediaPipe, OpenCV and Tensorflow.

computer-vision handtracking handtrackingmodule kivy machine-learning mediapipe mediapipe-hands mouse multilayer-perceptron neural-network python scikit-learn scipy tensorflow virtualmouse webcam webcam-capture

Last synced: 15 Feb 2026

https://github.com/samuellucas97/ml-e2e-flask

flask machine-learning random-forest-regression scikit-learn seaborn sqlite3 yellowbrick

Last synced: 16 Apr 2026

https://github.com/ksasi/smartcab

machine-learning numpy pandas python reinforcement-learning scikit-learn

Last synced: 16 Apr 2026

https://github.com/drkbluescience/wids2024_challenge2_metastaticdiagnosisregression

This notebook presents an exploratory data analysis (EDA) and regression modeling approach for the WiDS Datathon 2024 Challenge #2.

catboost data-visualization ensemble-learning exploratory-data-analysis imputation-methods kfold-cross-validation machine-learning metastatic-breast-cancer regression-models scikit-learn tabular-data women-in-data-science

Last synced: 16 Apr 2026

https://github.com/pierluigi-failla/pipesnake

a pandas sklearn-inspired pipeline data processor

feature-engineering feature-extraction pandas pipeline pipeline-data-processor python scikit-learn

Last synced: 03 Mar 2026

https://github.com/khaymanii/calories-burnt-prediction-model

This model was built using Python and XGBoost Regression algorithm

matplotlib numpy pandas python scikit-learn

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/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/drorata/mnist-examples

ML examples for the MNIST dataset

machine-learning ml mnist python scikit-learn torch

Last synced: 19 Apr 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/abhishek-k-git/soulmegle

expressjs flask html nodejs numpy python3 reactjs scikit-learn socket tailwindcss

Last synced: 01 Apr 2026

https://github.com/zenklinov/regression_logistic_-_sentiment_analysis_movie_data

This repository contains code for performing sentiment analysis using scikit-learn and logistic regression

llm natural-language-processing nlp nltk scikit-learn sentiment-analysis

Last synced: 10 May 2026

https://github.com/dimdasci/car-price-prediction-demo

Demo project of EDA and regression task solution: Pandas, Jupyter Notebook, Scikit-learn, LightGBM

eda lightgbm-regressor regression scikit-learn

Last synced: 03 Jun 2026

https://github.com/akshitvats026/heart_disease_prediction

An ML-based Heart Disease Prediction System that predicts the likelihood of heart disease based on user health parameters. Built using Python, Pandas, and Scikit-learn, the system performs data preprocessing, trains a predictive model, and provides real-time predictions with high accuracy.

accuracy-score logistic-regression machine-learning matplotlib-pyplot numpy pandas python scikit-learn