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/divinenaman/color-extraction-api

Extract colours from images using K-means, along with FastAPI pipeline.

fastapi k-means-clustering scikit-learn

Last synced: 05 May 2026

https://github.com/zenitsu272/fault-detection-ml

Machine Learning based Fault Detection in machines using sensor data

artificial-intelligence decsion-tree machine-learning pandas pandas-dataframe pandas-python scikit-learn

Last synced: 05 May 2026

https://github.com/sadmansakib93/mental-resilience-analysis-using-machine-learning

Utilized supervised and unsupervised ML techniques to analyze mental health and resilience levels of medical students [Project completed on December, 2019]

artificial-intelligence classification clustering correlation linear-regression machine-learning machine-learning-algorithms mental-health python regression resilience scikit-learn statistical-analysis

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/samia35-2973/living-type-classification-from-codon-usage

Machine learning project to classify living types based on codon usage data using Random Forest and XGBoost classifiers.

classification codon-usage data-cleaning data-preprocessing excel exploratory-data-analysis living-type machine-learning python random-forest-classifier scikit-learn supervised-learning xgboost-classifier

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/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/erick957/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression

🏠 Predict house prices using advanced regression techniques with this comprehensive analysis and cleaning project, from data loading to model deployment.

data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python

Last synced: 06 May 2026

https://github.com/andrewsy1004/logistic-regression-spam-classifier

This project implements a spam email classifier using Logistic Regression.

numpy pandas scikit-learn

Last synced: 06 May 2026

https://github.com/sabin74/boston_house_prediction

This project aims to predict the median value of owner-occupied homes in Boston suburbs using various machine learning regression models. Multiple regression techniques were applied, including Linear Regression, Decision Tree, Random Forest, Gradient Boosting and dimensionality reduction with PCA. Hyperparameter tuning was performed.

boston-housing-price-prediction hyperparameter-tuning kaggle-dataset pca-analysis python3 regression-models scikit-learn

Last synced: 06 May 2026

https://github.com/adesartika33/proyek-analisis-data-dataset-iris

Proyek ini bertujuan untuk menganalisis dataset Iris, salah satu dataset klasik dalam bidang Machine Learning dan Data Science. Dataset ini terdiri dari 150 sampel bunga Iris dari tiga spesies (Setosa, Versicolor, dan Virginica)

classification data-science data-visualization eda exploratory-data-analysis iris-dataset machine-learning python random-forest scikit-learn

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/deshwalx/diabetes-prediction-svm

My first ML project using SVM to predict diabetes

beginner-project classification diabetes machine-learning python scikit-learn svm svm-classifier

Last synced: 06 May 2026

https://github.com/douglas-data-analyst/predictive-analysis

Modelo preditivo para previsão de vendas usando scikit-learn e machine learning

data-science machine-learning predictive-analytics python sales-forecasting scikit-learn time-series

Last synced: 06 May 2026

https://github.com/pradeep-r04/spam-email-classification

Spam Email Classification Using NLP and Machine Learning involves building a system to identify and categorize emails as either spam or non-spam (ham). This process typically uses Natural Language Processing (NLP) techniques to analyze and preprocess text data and machine learning algorithms to train a model for classification.

artificial-intelligence machine-learning naive-bayes-classifier nlp pkl python scikit-learn streamlit

Last synced: 06 May 2026

https://github.com/williyam-m/company-registration-trends

Utilized Linear Regression from scikit-learn to predict future company registration trends.

flask matplotlib numpy pandas-python scikit-learn

Last synced: 06 May 2026

https://github.com/lintangwisesa/pdb_mti_ui_lab1_k6

Tugas Lab 1 Pengelolaan Data Besar MTI UI 2023

machine-learning python3 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/sahilmate/ebm-breast-cancer-classifier

This repository implements an Explainable Boosting Machine (EBM) model for breast cancer classification using scikit-learn and interpret. The project includes data preprocessing, model training, accuracy evaluation, and feature importance visualization.

breast-cancer-classification data-visualization explainable-boosting-machine feature-importance interpret machine-learning scikit-learn

Last synced: 06 May 2026

https://github.com/josepablodmg/python--linear-regression-advertising

A linear regression analysis to predict sales based on advertising spending across TV, radio, and newspaper channels. The project includes exploratory data analysis, model training, coefficient visualization, and residual analysis.

advertising data-analysis exploratory-data-analysis linear-regression machine-learning python regression scikit-learn visualization

Last synced: 06 May 2026

https://github.com/rafay-imraan/recommendation-system

A machine learning model that outputs personalized similar movie recommendations for people based on the ones they have rated positively.

machine-learning pandas python scikit-learn

Last synced: 06 May 2026

https://github.com/theweird-kid/ml-notes

Machine Learning Notes

machine-learning matplotlib numpy scikit-learn seaborn

Last synced: 06 May 2026

https://github.com/avtorgenii/ml-playground

A repository for exploring and experimenting with datasets, building machine learning models, and testing various techniques in data preprocessing, feature engineering, and model evaluation.

matplotlib ml pandas scikit-learn

Last synced: 06 May 2026

https://github.com/samudraneel05/stanford-open-policing

The Stanford Open Policing Project (SOPP) aims to bring transparency to police interactions by collecting and analyzing data on traffic stops across the United States. It accumulates a vast dataset on traffic stops, encompassing details such as demographics, location, and outcomes.

clustering heirarchical-clustering k-means-clustering machine-learning matplotlib pandas python scikit-learn

Last synced: 06 May 2026

https://github.com/jbizzlefoshizzle/ibm_capstone_project

Used K-means clustering and mapping libraries to determine best cities in San Diego to open a Mexican restaurant

beautifulsoup4 folium-maps geopy pandas-python scikit-learn

Last synced: 06 May 2026

https://github.com/michael95-m/packaging-insurance-claim-model

Packaging regression model from scikit-learn

feature-engineering machine-learning python python-package scikit-learn

Last synced: 07 May 2026

https://github.com/taquynhnga2001/regression-calories-burnt-prediction

Develop regression models which can predict the total calories a person has burnt during a workout based on some biological measures.

machine-learning python regression-analysis scikit-learn

Last synced: 07 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/kirillshiryaev61/customer_activity_prediction

Прогнозирование снижения покупательской активности в интернет-магазине. Модель на основе ML выявляет клиентов с риском оттока для повышения удержания. Учебный проект.

jupyter pandas python scikit-learn

Last synced: 07 May 2026

https://github.com/ayaarbi/prediction_des_maladies_cardiovasculaires_avec_ml

Ce projet, développé au sein de cours de Machine Learning, utilise des algorithmes de classification supervisée pour prédire la présence de maladies cardio-vasculaires à partir de données médicales publiées sur Kaggle.

cardiovascular-diseases jupyter-notebook machine-learning matplotlib pandas 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/rishi035/advanced-house-price-predictions

This is my First Project and also participated in kaggle competition

linear-regression machine-learning python random random-forest regressor-models scikit-learn

Last synced: 07 May 2026

https://github.com/tony123105/comp4423_garbage_classification

Garbage classification using traditional machine learning approaches (HOG, LBP, SIFT features with SVM, KNN, Random Forest classifiers) and an ensemble method to categorize waste into 10 types.

computer-vision feature-extraction garbage-classification hog image-classification knn lbp machine-learning opencv python random-forest scikit-learn sift svm

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/sumdiboii/loan-prediction-decision-trees

A Decision Tree Classifier was implemented to predict personal loan acceptance using a dataset of 5,000 customers. Key features included income, education, mortgage, and credit card usage. The model achieved 97% accuracy, with 92% precision and 76% recall for positive loan predictions, validated using a classification report and confusion matrix.

classification data-visualisation decision-trees loan-prediction machine-learning python scikit-learn supervised-learning

Last synced: 07 May 2026

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

fastapi scikit-learn

Last synced: 07 May 2026

https://github.com/jennynzhuang/bootstrap_ml_model_evaluation

Enhancing ML Model Evaluation with Bootstrapping

bootstrapping computational-statistics jupyter-notebook machine-learning python 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/therayyanshariff/cinereview

A Machine Learning web app for sentiment analysis, using a Scikit-learn NLP model with a custom-styled Streamlit UI.

machine-learning nlp python scikit-learn sentiment-analysis streamlit

Last synced: 04 May 2026

https://github.com/jimmymugendi/bulding-a-decision-tree-to-predict-customer-churn

This repo desribes bulding a decision tree to predict customer churn in a given organisation

accuracy-score decision-tree-classifier matplotlib-pyplot numpy pandas-dataframe scikit-learn

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/henrytseng/example_docker_scikit-learn

A quick example of using Scikit-Learn from a Docker container

docker scikit-learn

Last synced: 08 May 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/aravindnathan02/machine-learning-projects

Machine Learning and Deep Learning projects which mainly focuses on predictive modeling.

deep-learning machine-learning neural-networks predictive-modeling python scikit-learn tensorflow

Last synced: 08 May 2026

https://github.com/amiegirl/fellowship_ai

Sentiment Analysis of Movies Dataset

decision-tree-classification logisticregression matplotlib pandas random-forest-classification scikit-learn wordcloud

Last synced: 08 May 2026

https://github.com/prajjwal6969/recommender-system-using-python

A collection of content-based recommendation systems for songs and movies using Python and machine learning.

content-based-filtering cosine-similarity machine-learning movie-recommendation python recommender-system scikit-learn song-recommendation

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/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/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/icejan/predicton-systems

Various systems that train on data and generate a prediction

lightfm machine-learning numpy python scikit-learn

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/shahzadmustafa15/dbscan-clustering

DBSCAN clustering algorithm applied on synthetic non-linear data (make_moons dataset).

data-science data-visualization dbscan-clustering density-based-clustering machine-learning ml-projects python scikit-learn unsupervised-learning

Last synced: 08 May 2026

https://github.com/laksh2005/fashtag

Fashion Attribute Classification App

beatifulsoup fastapi nextjs pandas python scikit-learn selenium torch torchvision typescript

Last synced: 10 Jun 2026

https://github.com/sundarmd/breast-cancer-detection

Breast-Cancer-Detection is a machine learning project that utilizes logistic regression to predict whether a tumor is benign or malignant based on the Breast Cancer Wisconsin (Diagnostic) dataset. The project demonstrates data preprocessing, model training, and evaluation using the `scikit-learn` library.

logistic-regression machine-learning python scikit-learn

Last synced: 09 May 2026

https://github.com/aasjunior/mlapp-api

Esta API fornece endpoints para aplicar algoritmos de aprendizado de máquina, como K-Nearest Neighbors (KNN), Árvore de Decisão e Algoritmo Genético. Realizado como tarefa da disciplina de Laboratório Mobile/Computação Natural no 5º Semestre de Desenvolvimento de Software Multiplataforma.

fastapi machine-learning python scikit-learn

Last synced: 09 May 2026

https://github.com/davidrpugh/kaust-cs-294w

Course materials for KAUST CS 294W

deep-learning machine-learning pytorch scikit-learn

Last synced: 09 May 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/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/peterchain/titanic

Script for the Titanic dataset for evaluating which passengers survived

kaggle machine-learning pandas-dataframe python3 scikit-learn

Last synced: 09 May 2026

https://github.com/otuemre/viginids

VigiNIDS: A machine learning-based system for detecting malicious network traffic using the UNSW-NB15 dataset. It distinguishes between normal and attack activities, providing a data-driven approach to network security.

classification cybersecurity intrusion-detection-system machine-learning network-intrusion-detection python scikit-learn unsw-nb15 xgboost

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/payall03/spam-mail-detection

A Web App for Detecting Spam Messages using Machine Learning | Flask · TfidfVectorizer · Naive Bayes

css deploy-to-render flask html machine-learning ml-project mlproject naive-bayes naive-bayes-classifier natural-language-processing nlp python scikit-learn spam-detection spam-filter text-classification tfidf-joblib webapp

Last synced: 09 May 2026

https://github.com/saahilanande/naivebayes

Implimenting Naive Bayes classifier from scratch for sentiment analysis of IMDB dataset

machine-learning naive-bayes-classifier python-3 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/samuelson777/iris-flower-classification

Iris Flower Classification: A machine learning project that classifies iris flowers into three species based on sepal and petal dimensions. Includes data exploration, visualization, and model evaluation using Python and scikit-learn.

classification data-science data-visualization iris-dataset jupyter-notebook machine-learning python scikit-learn

Last synced: 09 May 2026

https://github.com/suvasish114/house-price-estimation

A machine learning model that estimate housing prices in California using the California census data

jupyter-notebook machine-learning python scikit-learn

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/rudrakhp/ir-project-blog-recommender

machine-learning python scikit-learn

Last synced: 10 May 2026

https://github.com/linggarm/text-summarization-using-tf-idf-vectorizer

Simple Text Summarization using TF-IDF Vectorizer and NLTK library

artificial-intelligence data-science google-colab jupyter-notebook machine-learning natural-language-processing nlp nltk python scikit-learn summarization text-summarization tf-idf

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/hassanislam463/nyc_airbnb_eda

This project is a comprehensive data analysis of Airbnb listings in New York City, exploring pricing trends, seasonality effects, host market dynamics, rental preferences, and revenue estimation. It provides valuable insights for hosts, investors, and policymakers to optimize Airbnb operations and understand the short-term rental landscape in NYC.

exploratory-data-analysis matplotlib python scikit-learn seaborn

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/djdhairya/student-attendance-management

folium matplotlib pandas 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/i30101/mathworks2024

Coding tools for 2024 MathWorks Math Modeling Challenge

machine-learning mathematical-modelling python scikit-learn

Last synced: 10 Jun 2026

https://github.com/alphacrypto246/student-learning-style-prediction

An interactive web application built with Streamlit that predicts a student's preferred learning style (visual, auditory, or kinesthetic) using machine learning, aiding educators in personalizing teaching strategies.

machine-learning scikit-learn scikitlearn-machine-learning streamlit

Last synced: 11 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/jazib-2004/prediction-classification-and-clustering-on-public-expenses-dataset

Applying end-to-end ML pipeline incl. EDA to get to know data more, data preprocessing to prepare data for modelling, and at last REGRESSION to predict one feature's value, CLASSIFICATION to classify one feature, and K-means for clustering and its analysis.

data-preprocessing exploratory-data-analysis k-means-clustering lasso-regression logistic-regression matplotlib ml-pipeline python scikit-learn

Last synced: 11 May 2026

https://github.com/monarch1108/customerinsights-kmeans

understanding customers using KMeans and RFM(recency, frequency & monetary) analysis

data-analysis data-visualization kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn

Last synced: 11 May 2026

https://github.com/bheemisme/brain-tumor-classification

brain tumor classification using machin learning

deep-learning machine-learning pytorch scikit-learn xgboost

Last synced: 11 May 2026

https://github.com/shridhar1504/titanic-survivor-prediction-datascience-classification-project

This projects predicts whether a passenger on the titanic survived or not using machine learning algorithms with the given details of the passenger data.

classification-algorithm data-analysis data-analytics data-cleaning data-preprocessing data-science data-visualization eda exploratory-data-analysis gradient-boosting jupyter-notebook machine-learning machine-learning-algorithms matplotlib naive-bayes-classifier predictive-modeling python3 scikit-learn seaborn supervised-learning

Last synced: 11 May 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/johannesvc/data-science-portfolio

A curated portfolio of applied data science projects focused on machine learning, NLP, and social impact.

academic-portfolio data-science deep-learning keras machine-learning media-bias nlp pandas scikit-learn

Last synced: 11 May 2026

https://github.com/deaneeth/churn-prediction-model-training

Step-by-step guide to building machine learning models for customer churn prediction, continuing from the data preprocessing phase. The repo covers training, evaluation, and saving of models, with weekly updates.

churn-prediction data-science-projects jupyter-notebook machine-learning model-evaluation model-training model-training-and-evaluation python scikit-learn

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/sharvesh1401/inverse-design-patch-antenna

A machine learning approach to the inverse design of microstrip patch antennas by predicting optimal physical dimensions from desired performance metrics.

antenna-design deep-learning engineering-project gradio jupyter-notebook machine-learning patch-antenna python regression-model scikit-learn

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/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/capsuleismail/rt-iot2022

RT-IoT2022 is a dataset obtained from a real-time IoT infrastructure. This project aims to compare the accuracy of three machine learning models: XGBoost and LGBMClassifier.

datascience jupyter-notebook machinelearning-python scikit-learn

Last synced: 12 May 2026

https://github.com/msikorski93/seed-clustering

Performing basic clustering on a seeds dataset.

agglomerative clustering dbscan gaussian-mixture-model gmm mini-batch-kmeans scikit-learn seeds

Last synced: 13 May 2026

https://github.com/mateusoliveira30/house-prices

This project was developed for the Kaggle competition "House Prices - Advanced Regression Techniques." The goal is to predict house sale prices using advanced regression techniques, including feature engineering, Random Forests, and Gradient Boosting.

kaggle-competition machine-learning scikit-learn

Last synced: 13 May 2026