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An open API service indexing awesome lists of open source software.

scikit-learn

scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.

https://github.com/mgesteban/analyzing_car_prices

A comprehensive data science project analyzing factors that drive used car prices to provide actionable insights for used car dealerships.

crisp-dm data-science lasso-regression linear-regression machine-learning one-hot-encoding pandas ridge-regression scikit-learn

Last synced: 15 Feb 2026

https://github.com/quran-yeamen/serverlifecycleml

Predictive modeling of server lifecycle stages using synthetic data and machine learning.

data-science machine-learning predictive-modeling python scikit-learn synthetic-data

Last synced: 15 Feb 2026

https://github.com/grandechowhiskey/fcc-machine_learning-boilerplates

A collection of projects completed as part of the FreeCodeCamp "Machine Learning with Python" certification. These projects focus on implementing machine learning models, data preprocessing, and predictive analysis using libraries like scikit-learn and TensorFlow.

ai ml python3 scikit-learn tensorflow

Last synced: 06 May 2026

https://github.com/sridharyadav07/machine-learning-project-combined-cycle-power-plant-

This project is focused on Multiple machine learning models, including Linear Regression, Decision Tree Regression, and Random Forest Regression, were implemented to predict the target variable and evaluated using various metrics like RMSE, MAE, and R-squared. The performance of these models was compared, and the Random Forest Regressor was found.

data-processing decisiontreeregressor linear-regression metrics-evaluation python random-forest-regressor scikit-learn

Last synced: 16 Apr 2026

https://github.com/pksvv/machinelearning_svm

Various implementations of Support Vector Machine Algo

machine-learning python scikit-learn support-vector-machine

Last synced: 04 May 2026

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

Machine Learning python bootcamp: logistic regression on advertising dataset

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

Last synced: 16 Apr 2026

https://github.com/piotrwnuczek/cloudprediction

Predicting cloud task execution time using AI/ML

matplotlib pandas python scikit-learn

Last synced: 16 Apr 2026

https://github.com/silky-x0/spam-detector

An machine learning algorithm to detect spam emails or such.

jupyter-notebook nltk-python pandas python3 scikit-learn

Last synced: 16 Apr 2026

https://github.com/thinker84/real-time-stock-price-prediction-and-market-analysis-using-machine-learning

Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.

data-science django lstm machine-learning numpy pandas pandas-datareader scikit-learn stock-market stock-price-prediction stooq streamlit yahoo-finance yahoo-finance-api

Last synced: 13 Jul 2025

https://github.com/otuemre/emailphishingdetection

A real-time phishing email detection system using Machine Learning (SVM, Logistic Regression, Naive Bayes) with FastAPI backend and custom domain deployment.

cybersecurity fastapi huggingface machine-learning nlp real-time scikit-learn spam-detection svm-classifier tfidf-vectorizer

Last synced: 13 Apr 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/eshansugeesh/fico-score-loan-default-modeling-project

Credit risk assessment using FICO score segmentation, loan default modeling, discretization techniques, and log-likelihood evaluation for predictive analytics in financial services.

bucketing classification credit-risk customer-segmentation data-science discretization fico-score financial-analytics loan-analysis loan-default log-likelihood machine-learning numpy pandas predictive-modeling risk-modeling scikit-learn segmentation statistical-modelling

Last synced: 06 May 2026

https://github.com/thekartikeyamishra/customer-retention-predictor

The Customer Retention Predictor is a Python-based tool designed to help businesses predict customer churn using historical data. This project is particularly beneficial for small businesses and MSMEs in India, allowing them to identify customers at risk of leaving and take proactive measures to retain them.

joblib machine-learning numpy pandas python scikit-learn tinker

Last synced: 16 Apr 2026

https://github.com/archish27/pythontutorial

Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications

matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup

Last synced: 01 Apr 2026

https://github.com/sahiltiwariiii/dssp

Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc

docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit

Last synced: 27 Mar 2026

https://github.com/shreeparab1890/indian-cricketer-classifier

This notebook is trying to bulia a model which will predict a Indian Cricketer based on the given image. In this project we have handled 8 Indian Cricketers and build a model to classify the given image between this 8 Cricketers.

image-classification matplotlib numpy opencv pandas python random-forest-classifier scikit-learn sklearn streamlit

Last synced: 01 Apr 2026

https://github.com/ifte-13/early-stage-brain-stroke-detection

Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm

decision-tree imbalanced-learn knn matplotlib numpy pandas random-forest scikit-learn seaborn

Last synced: 06 Jul 2025

https://github.com/leftcoastnerdgirl/supervised_learning

This project demonstrates supervised machine learning using scikit-learn.

classification-reports confusion-matrix jupyter-notebook numpy pandas-python pathlib scikit-learn sklearn

Last synced: 16 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/bkamapantula/discover

Code search utility to assist developer workflows via code discovery. Currently uses TF-IDF estimator.

developer-tools python scikit-learn tf-idf

Last synced: 16 Apr 2026

https://github.com/grupoguerreroherrera/ethical-ai-recruitment-audit

Bias audit toolkit reproducing the recruitment AI case from Activity 6 — Unidad 3, Electiva II Inteligencia Artificial Avanzada. Empirical analysis with reweighing mitigation, Model Card documentation, and APA 7 references.

academic-project algorithmic-auditing artificial-intelligence bias-mitigation disparate-impact ethical-ai fairness machine-learning model-card python random-forest recruitment-bias reweighing scikit-learn unesco-ai-ethics

Last synced: 03 Jun 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/kalpthakkar/jobpilot-ai

JobPilot AI is a next-generation, AI-powered job application and management platform that automates the end-to-end process of job searching, intelligent application submission, and workflow analytics. It combines state-of-the-art AI, ML, NLP, and cloud technologies to deliver a seamless, highly customizable, and extensible solution for job seekers.

artificial-intelligence automation beautifulsoup chromadb fastapi gmail-api jobs langchain llm lxml nlp nltk ollama python3 pywinauto rag scikit-learn selenium sqlite-database

Last synced: 08 Apr 2026

https://github.com/priyanshul28/ml_eda_regression_energyconsumptionforecasting

An EDA and Machine Learning Time-Series Regression Forecasting exercise on the PMJE Energy Consumption dataset demonstrating time-series analysis and the use of Time-Series Split, XGBoost, etc. The model is optimized using hyperparameter tuning through GridSearchCV. A Rob Mulla guided exercise.

forcasting machine-learning numpy pandas scikit-learn time-series-analysis

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/tnleite/loan-approval-prediction

Este repositório apresenta um modelo preditivo de aprovação de empréstimos, focado em minimizar o risco de inadimplência. Utilizando EDA e algoritmos de machine learning (Random Forest, XGBoost), ajustamos o threshold para maximizar o recall de inadimplentes, contribuindo para uma gestão de riscos eficiente.

classification-algorithm data-science exploratory-data-analysis machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn scipy seaborn xgboost-classifier

Last synced: 13 Apr 2026

https://github.com/erikglz/coap-mtd

Repository for an IoT security project implementing Moving Target Defense (MTD) through CoAP protocol randomization to mitigate spoofing attacks and enhance adaptive security.

coap-protocol cybersecurity iot machine-learning python scikit-learn spoofing

Last synced: 17 Apr 2026

https://github.com/vaishnavis03/finlatics_ml_program

This repository contains the .ipynb files for 3 datasets, along with a PPT for each. The datasets included are Facebook Marketplace Data, Sales Prediction Data, and Wine Quality data.

correlation data-analysis data-science data-visualization knn linear-regression machine-learning matplotlib numpy pandas random-forest-classifier scikit-learn

Last synced: 17 Apr 2026

https://github.com/danicc097/python-ml-app

Various [arguably useless] Machine Learning services with gRPC and OpenTelemetry for demo purposes

grpc-python opentelemetry scikit-learn

Last synced: 17 Apr 2026

https://github.com/sankoktas/bhi360-fall-detection

Fall detection system using Bosch BHI360 sensor data with time-series labeling, feature extraction, and machine learning (LOSO CV + Gradient Boosting).

accelerometer bhi360 bosch-sensors data-augmentation fall-detection feature-extraction gradient-boosting gyroscope human-activity-recognition label-studio loso-cross-validation machine-learning python scikit-learn sensor-data smote time-series

Last synced: 07 May 2026

https://github.com/iamwatchdogs/cardiovascular-risk-prediction

This mini-project uses machine learning algorithms to predict possible risks of heart disease by analyzing given data.

jupyter-notebook machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Apr 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

Last synced: 02 Apr 2026

https://github.com/satyas567/weatherdataanalysis

Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed

jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/emanuel-poblano/stock-market-predictor

An end-to-end Python stock price prediction project that pulls real market data, performs feature engineering, trains a machine learning model, and predicts the next-day closing price of a stock.

matplotlib pandas python scikit-learn yfinance

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/prashver/end-to-end-model-deployment-on-aws

Student Performance Analysis with Machine Learning analyzes factors impacting student outcomes using a robust machine learning pipeline. Achieving an impressive R2 score, it predicts student performance effectively. With extensive data preprocessing and deployment on AWS Elastic Beanstalk, it ensures scalability and high availability.

amazon-web-services aws-elastic-beanstalk end-to-end-deployment flask machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn

Last synced: 02 Apr 2026

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

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

matplotlib numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/mayankyadav23/shipment-pricing-prediction

Shipment Pricing Prediction 📦🔍 is a machine learning project that forecasts shipment prices based on various supply chain factors. Using advanced regression models, it provides valuable insights 📊 to optimize pricing strategies in the supply chain analytics domain.

data-visulization flask ineuron-ai machine-learning python scikit-learn shipment-and-pricing

Last synced: 02 Apr 2026

https://github.com/otuemre/obesity-classification

Machine learning project to classify obesity levels based on health metrics like age, sex, height, weight, and BMI.

classification data-science healthcare machine-learning obesity-classification scikit-learn

Last synced: 17 Apr 2026

https://github.com/nikhilgugwad/sentiment-analysis

Sentiment analysis for the Kannada language to classify Kannada sentences into different emotions.

numpy pandas scikit-learn

Last synced: 17 Apr 2026

https://github.com/ngangawairimu/linear-regression-

This project builds a linear regression model in Python to predict outcomes and derive insights from feature data. It covers data cleaning, feature analysis, and model evaluation, showcasing predictive modeling techniques using scikit-learn, pandas, and visualization libraries.

data-analysis linear-regression machine-learning predictive-modeling python scikit-learn

Last synced: 17 Apr 2026

https://github.com/rohansardar/speechflowguard

A machine learning web API that detects toxic language in user comments using classical ML

docker logistic-regression machine-learning python3 scikit-learn tf-idf tfidf-text-analysis tfidf-vectorizer

Last synced: 17 Apr 2026

https://github.com/mangesh-balkawade/pythonautomationsscripts

This is the repository which contains the python automations scripts and machine learning case studies , and Python Projects that I have write to learn automations and ML using python.

automation data-science machine-learning-algorithms matplotlib mongodb pandas python3 scikit-learn seaborn webscraping

Last synced: 13 Apr 2026

https://github.com/mnitin-reddy/content-based-recommendation-system-using-deep-learning

A content-based movie recommendation system using deep learning to predict user ratings by leveraging user and movie features. The system integrates neural networks for feature extraction, utility scripts for data processing, and supports both new and existing user recommendations.

deep-learning keras neural-networks numpy pandas python scikit-learn tensorflow

Last synced: 03 Apr 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/belzebu013/prever_nivel_colesterol

Projeto de IA com algoritmo de Regressão Linear múltipla para prever o nível de colesterol de um individuo.

ia jupiter-notebook pandas python regressao-linear-multipla scikit-learn

Last synced: 17 Apr 2026

https://github.com/mryutaro/spla3clip

spla3clip: キル・デスした時刻を自動で解析するスプラトゥーン3用ツール

fastapi python react scikit-learn typescript

Last synced: 04 Apr 2026

https://github.com/rickyarians/ai-ml-nlp

Directory Machine Learning, Deep Learning, Artificial Int, Natural Language Processing Project

deep-learning machine-learning modeling python scikit-learn tensorflow

Last synced: 04 Apr 2026

https://github.com/mnj-tothetop/english-handwritten-characters-recognizer

A handwritten english character recognizer [0-9, A-Z, a-z] made by using a Dataset of 3409 images. Tensorflow, Keras, Scikit-learn, and OpenCV was used to implement the Convolution Neural Network (CNN). Matplotlib and Seaborn were used to visualize the data.

artificial-intelligence convolutional-neural-networks keras matplotlib opencv-python scikit-learn seaborn tensorflow

Last synced: 18 Apr 2026

https://github.com/bjpcjp/scikit-learn

Updates in progress. Jupyter workbooks will be added as time allows.

python python3 scikit-learn

Last synced: 18 Apr 2026

https://github.com/justsecret123/nba-players-stats-analysis

A quick interactive Notebook to visualize some NBA players stats (points, assists, steals, blocks...) and totals, rankings and comparisons. Feel free to add any player in the .csv data files. 🏀

csv ipython-notebook ipywidgets jupyter-notebook jupyterlab matplotlib pandas python scikit-learn seaborn

Last synced: 18 Apr 2026

https://github.com/gattsu001/telecom-churn-predictor

Predicts which telecom customers are likely to churn with 95% accuracy using engineered features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, stratified 80/20 train-test split, and a two-level ensemble pipeline with soft voting. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.

churn-prediction classification classification-algorithm customer-retention data-science data-visualization feature-engineering joblib jupyter-notebook machine-learning pandas scikit-learn supervised-learning svm

Last synced: 18 Apr 2026

https://github.com/zvdy/movie_recommendation

Movie Recommendation Search Engine using Jupyter Notebooks, Pandas, Nnmpy, SciKit Learn, IPyWidgets

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

Last synced: 13 Apr 2026

https://github.com/tanim-mishkat/data-science-prediction-model-pds-course-

Diabetes Progression Prediction Using Regression Analysis: This project uses regression analysis in Python to predict diabetes progression based on medical and physiological data. Includes data preprocessing, model training, evaluation, and visualizations.

data-science machine-learning python regression scikit-learn

Last synced: 19 Apr 2026

https://github.com/pedroteixeiraw/variational_quantum_circuit_binary_classification

This project focuses on developing a Variational Quantum Circuit capable of performing Binary Classification between two classes: red wine and white wine, based on their characteristics using machine learning.

binary-classification cost-function json machine-learning matplotlib numpy pandas qiskit qiskit-machine-learning quantum-machine-learning scikit-learn training-data variational-circuit

Last synced: 04 Apr 2026

https://github.com/abdul-rafay19/california-housing-price-prediction

This project predicts California housing prices using machine learning regression models, including Random Forests and Decision Trees. It covers data preprocessing, exploratory analysis, model training, and hyperparameter tuning to optimize performance.

decision-trees gridsearchcv linear-regression matplotlib numpy pandas python random-forest randomsearch-cv scikit-learn scipy seaborn

Last synced: 04 Apr 2026

https://github.com/adhadse/hands-on-machine-learning-book-notes-and-practice

This repo holds the Jupyter notebooks and datasets containing notes/comments on things I learned from this book. Feel free to use and learned from them.

data-science deep-learning jupyter-notebooks keras machine-learning python scikit-learn tensorflow

Last synced: 04 Apr 2026

https://github.com/yashsonaar/machine-learning-tasks

This repository has machine learning tasks which include classification, recommendation system, fraud detection system

classification jupyter-notebook machine-learning numpy pandas prediction python scikit-learn testing

Last synced: 04 Apr 2026

https://github.com/chengetanaim/high-school-alcoholism-and-academic-performance

Student Alcoholism and Academic Performance Data Analysis

jupyter-notebook scikit-learn

Last synced: 18 Apr 2026

https://github.com/eugen-goebel/predictive-analytics-agent

Automated ML pipeline — data profiling, preprocessing, model training, and evaluation report generation

automation data-science docker machine-learning predictive-analytics python scikit-learn streamlit

Last synced: 05 Apr 2026

https://github.com/akhundmuzzammil/energyconsumptionprediction

This repository contains code and resources for training a linear regression model to predict energy consumption based on various building parameters.

data-analysis energy-consumption linear-regression machine-learning python scikit-learn streamlit visualization

Last synced: 18 Apr 2026

https://github.com/alezoon/movie-revenue-prediction

Sk-learn practice using Linear Regression, ML workflow practice.

jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 05 Apr 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/taqsblaze/hush

Hush: A lightweight, context-aware text toxicity classifier. Leveraging NLP and Random Forest ensemble learning to detect and mitigate harmful language in real-time. Built for efficiency, safety, and cleaner digital communication.

content-moderation machine-learning nlp random-forest safety-tools scikit-learn text-classification toxicity-detection

Last synced: 05 Apr 2026

https://github.com/deliprofesor/game-search-volume-prediction-machine-learning-models-and-forecasting

This repository uses machine learning models like Random Forest, XGBoost, LightGBM, and time-series forecasting with Prophet to predict game search volumes. Additionally, Grid Search is applied for hyperparameter tuning of the LightGBM model.

data-cleaning data-science data-visualization feature-selection forecasting-models game-search grid-search hyperparameter-tuning lightgbm machine-learning pandas prophet python random-forest scikit-learn time-series-analysis time-series-forecasting xgboost

Last synced: 18 Apr 2026

https://github.com/busradeveci/student-performance-prediction

A machine learning project to predict student exam performance based on academic, social, and personal features. Built with Python and scikit-learn.

data-analysis kaggle linear-regression machine-learning predictive-modeling python scikit-learn student-performance

Last synced: 25 Apr 2025

https://github.com/manalisbhavsar/mall-customers-clustering

K-Means clustering to mall customer data, segmenting customers based on their annual income and spending score. To identify patterns and group customers for targeted marketing.

data-analysis data-visualization matplotlib numpy pandas python scikit-learn

Last synced: 18 Apr 2026

https://github.com/adarshpheonix2810/resume-screening

This project is designed to classify resumes into different job categories based on their content. Users can upload resumes in PDF, DOCX, or TXT format, and the application will predict the category using a pre-trained machine learning model. It aims to enhance the job application process for candidates and recruiters alike.

data-science machine-learning natural-language-processing python resume-classification scikit-learn streamlit

Last synced: 13 Apr 2026

https://github.com/jeffandyalltogether/mlrecommendationsystem

project code for a recommendation system for Amazon using collaborative filtering, ranking, and matrix factorization to enhance customer satisfaction and product discovery.

eda matplotlib pandas python scikit-learn seaborn tensorflow

Last synced: 05 Apr 2026

https://github.com/barek2k2/ml_ruby

Ruby gem uses Machine Learning(ML) techniques to make predictions and classifications, and it's powered by Python3 under the hood.

artificial-intelligence data-science machine-learning pandas prediction python3 ruby ruby-on-rails scikit-learn

Last synced: 05 Apr 2026

https://github.com/emilyfelker/ieee_cis_fraud_detection

Which online transactions are fraudulent? Program that uses various machine learning algorithms to detect fraud.

decision-trees kaggle logistic-regression machine-learning neural-network pandas poetry pytest python scikit-learn sklearn tensorflow xgboost

Last synced: 05 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_04

Модуль 4. Класифікація та оцінка роботи моделі. Лінійна регресія: перенавчання та регуляризація

lasso-regression linear-regression numpy pandas python red regression ridge-regression scikit-learn

Last synced: 05 Apr 2026

https://github.com/perpendicooler/elementary-research-for-steamboat-willie-s-store-in-poland

An elementary research for a company to opening store in a city using gurobi and pulp optimization.

christofides-algorithm gurobipy numpy pandas pulp python3 scikit-learn travelling-salesman-problem

Last synced: 05 Apr 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/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/pratyush905/farecast-nyc-taxifare-predictor

Machine learning models to predict nyc taxi fare based on given dataset

jupiter-notebook kaggle machine-learning matplotlib numpy python regression-models scikit-learn

Last synced: 13 Apr 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

scikit-learn Awesome Lists
awesome-python-data-science 382 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 53 Machine Learning 43 General 30 Data Manipulation 29 Deep Learning 28 Model Explanation 26 Reinforcement Learning 24 Optimization 22 Visualization 18 Graph Machine Learning 17 Feature Engineering 16 Time Series 16 Probabilistic Methods 13 Computer Vision 12 Computer Audition 9 Computations 9 Natural Language Processing 9 Deployment 8 Distributed Computing 7 Experimentation 7