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scikit-learn

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

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: 08 Nov 2024

https://github.com/bartventer/survival-predictor

A simple machine learning application developed with Django, AWS, Gunicorn and Nginx

aws django ec2 gunicorn linux nginx scikit-learn

Last synced: 06 Nov 2024

https://github.com/bartventer/ann-loan-default-profiler

Artificial Neural Network built with Tesorflow to predict whether new customer application will repay or default on a new loan.

artificial-neural-network data-visualisation deep-learning exploratory-data-analysis numpy pandas pipelines scikit-learn tensorflow2

Last synced: 06 Nov 2024

https://github.com/jofaval/ionosphere

Binary Classification of Ionosphere signals at Goose Bay, Labrador in 1988

data-analysis data-science data-visualization deep-learning google-colab keras machine-learning python scikit-learn tensorflow uci xgboost

Last synced: 21 Oct 2024

https://github.com/jofaval/iris-flowers

Multilabel Classification of the famous Iris Flowers Dataset from Ronald Aylmer Fisher in 1936

classification data-analysis data-science data-visualization google-colab iris-flowers kaggle machine-learning python scikit-learn xgboost

Last synced: 21 Oct 2024

https://github.com/jofaval/titanic-disaster

Data Analysis of the famous Titanic Disaster in 1912 with Machine Learning

classification data-analysis data-science data-visualization google-colab kaggle machine-learning python scikit-learn

Last synced: 21 Oct 2024

https://github.com/alexsolov28/vkrb

Выпускная квалификационная работа бакалавра

matplotlib numpy pandas python scikit-learn seaborn streamlit

Last synced: 31 Oct 2024

https://github.com/pierrekieffer/datapreprocessing

Custom data preprocessing library made for machine learning

data-preparation data-preprocessing machine-learning preprocessing scikit-learn

Last synced: 26 Oct 2024

https://github.com/aneeshmurali-n/ann-diabetes-prediction

Predicting diabetes progression using an Artificial Neural Network (ANN). This project leverages the scikit-learn diabetes dataset for training and evaluation. Includes data preprocessing, model building, and performance visualization.

ann data-preprocessing data-visualization deep-learning diabetes-prediction exploratory-data-analysis keras machine-learning matplotlib neural-network numpy pandas regression scikit-learn seaborn tensorflow visualization

Last synced: 31 Oct 2024

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: 31 Oct 2024

https://github.com/scikit-learn/pairwise-distances-reductions-asv-suite

A dedicated asv suite for scikit-learn private PairwiseDistancesReductions

asv benchmarks cython scikit-learn

Last synced: 29 Oct 2024

https://github.com/emmarhoffmann/starsort

A multi-model machine learning project that achieves up to 100% accuracy in classifying star types using five different AI algorithms

decision-tree naive-bayes neural-network python random-forest scikit-learn svm

Last synced: 31 Oct 2024

https://github.com/brenofariasdasilva/dagster-education-model

Dagster Education Model using Dagster 1.3.11 and Python 3.7.17.

dagster makefile matplotlib pandas pyenv python3 scikit-learn seaborn shellscript

Last synced: 16 Oct 2024

https://github.com/nits2612/data-science-projects

Portfolio of data science projects completed by me during PGP AI/ML, self learning, and hobby purposes.

data data-science dataanalysis deep deep-learning keras machine-learning matplotlib numpy opencv pandas python scikit-learn seaborn surprise-python tensorflow transfer-learning

Last synced: 31 Oct 2024

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: 31 Oct 2024

https://github.com/enyaude/california_house_price_prediction

Developed a California house price prediction model utilizing linear regression and Random Forest, and applied machine learning techniques such as Ridge, and Lasso for optimization in Python.

jupyter-notebook linear-regression python random-forest scikit-learn streamlit

Last synced: 31 Oct 2024

https://github.com/m-muecke/text-normalizer

Text normalizer integration for sklearn.pipeline.Pipeline class

nlp nltk python scikit-learn

Last synced: 28 Oct 2024

https://github.com/pymc-learn/pymc-learn-sphinx-theme

Sphinx theme for Pymc-learn documentation

pymc3 pymc4 scikit-learn sphinx sphinx-theme

Last synced: 19 Oct 2024

https://github.com/idaraabasiudoh/svm_cell_classification

This repository contains code for classifying cell samples using Support Vector Machine (SVM) with Scikit-learn.

machine-learning python3 scikit-learn svm-classifier

Last synced: 02 Nov 2024

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

I built a predictive model to detect fraud in financial transactions.

pandas python scikit-learn

Last synced: 31 Oct 2024

https://github.com/theengineerprogrammer/kmeans-medoids

Changing cluster centers from centroids to medoids for kmeans

clustering k-means k-medoids kmeans kmedoids scikit-learn

Last synced: 31 Oct 2024

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: 31 Oct 2024

https://github.com/abdullahashfaq-ds/sms-spam-detection

A machine learning application designed to classify SMS messages as spam or non-spam, offering real-time analysis to identify potentially harmful content.

css3 docker flask html5 javascript matplotlib nltk numpy pandas python scikit-learn seaborn tailwindcss xgboost

Last synced: 29 Oct 2024

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: 05 Nov 2024

https://github.com/alainlebret/python-et-ia-1

Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN

artificial-intelligence image-processing machine-learning matplotlib numpy python scikit-image scikit-learn

Last synced: 31 Oct 2024

https://github.com/diegogallegos4/boston_housing

Udacity Machine Learning Nanodegree Project

machine-learning python scikit-learn

Last synced: 05 Nov 2024

https://github.com/alainlebret/python-et-ia-2

Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN

artificial-intelligence image-processing machine-learning matplotlib numpy python scikit-image scikit-learn

Last synced: 31 Oct 2024

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: 03 Nov 2024

https://github.com/soumyapro/parkinson-disease-prediction

This project predicts Parkinson's disease using machine learning models.

logistic-regression numpy pandas scikit-learn svc xgboost

Last synced: 03 Nov 2024

https://github.com/engineertolulope/us_states_living_ranking_analysis

Python script for analyzing and ranking U.S. states based on factors like cost of living, tax burden, diversity, crime rates, and climate. Uses weighted criteria to identify the best states to live in according to these metrics. Ideal for decision-making on relocation.

data-analysis data-science linear-regression machine-learning python scikit-learn

Last synced: 03 Nov 2024

https://github.com/idaraabasiudoh/credit_card_fraud_detection

This repository contains a machine learning project focused on detecting credit card fraud using Decision Tree and Support Vector Machine (SVM) classifiers.

data-analysis jupyter-notebook machine-learning python3 scikit-learn snapml

Last synced: 03 Nov 2024

https://github.com/sanjiv856/machine_learning_scikit-learn

Repository for machine learning in Python using Scikit-learn.

pipelines python scikit-learn sklearn titanic-kaggle titanic-survival-prediction

Last synced: 03 Nov 2024

https://github.com/katjaweb/king-county-house-price-prediction

This project aims to predict house prices based on various features such as square footage, number of rooms or location.

machine-learning python regression scikit-learn

Last synced: 03 Nov 2024

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: 03 Nov 2024

https://github.com/jeus0522/7-explore-different-classifier-ml-app

A project exploring various classification algorithms, showcasing their implementation, comparison, and evaluation using Python and scikit-learn.

k-nearest-neighbours knn random-forest scikit-learn streamlit support-vector-machine svm

Last synced: 03 Nov 2024

https://github.com/kavyachouhan/fake-news-detection-dravidian-language

This repository contains the code and resources for a machine learning project focused on detecting fake news in the Malayalam language, developed as part of the IITM-PAN BS AI-ML Challenge.

jupyter-notebook machine-learning numy pandas python scikit-learn

Last synced: 03 Nov 2024

https://github.com/manome/python-supervised-learning

This project provides sample code for performing supervised learning.

conformal-prediction scikit-learn supervised-learning

Last synced: 03 Nov 2024

https://github.com/pejpero/machine_learning

This repository contains two comprehensive machine learning projects using scikit-learn, demonstrating ensemble learning with a Voting Classifier and the comparison of linear and polynomial regression models on different datasets.

ensemble-learning linear-regression logistic-regression machine-learning polynomial-regression random-forest scikit-learn svm

Last synced: 03 Nov 2024

https://github.com/amiriiw/text_classification

Welcome to the Text Classification Project! This project is designed to train a model for classifying texts based on their emotional content and then using it to categorize new texts into corresponding emotional categories.

keras numpy pandas pickle scikit-learn tensorflow text-classification

Last synced: 03 Nov 2024

https://github.com/raulmaulidhino-dev/ml_modelling_regression

There are many factors that influence the grades/scores of students. One of the factors is study hours. In this mini analysis project, there are 3 models that will learn and predict the relation between study hours of students and their scores in an exam/test. This project will result the best ML model to solve the problem.

data data-analysis-python data-science eda machine-learning scikit-learn

Last synced: 03 Nov 2024

https://github.com/gaurangdave/house_price_predictions

Machine Learning Application to predict House Prices

hands-on learning-by-doing machine-learning numpy pandas python scikit-learn

Last synced: 31 Oct 2024

https://github.com/pranav-tank/heart-disease-prediction-model

I have created this project as my Python term assignment. In this project I have trained a ML model to predict the heart disease using Scikit-learn library in python.

google-colaboratory jupyter-notebook machine-learning prediction-model python scikit-learn

Last synced: 03 Nov 2024

https://github.com/aysh2603/twitter-sentiment-analysis

The Twitter Sentiment Analysis project employs Natural Language Processing (NLP) techniques to classify tweets into positive or negative sentiments. By analyzing the tone of tweets, this project provides insights into public sentiment on various topics.

hyperparameter-tuning nlp-machine-learning numpy pandas python3 scikit-learn

Last synced: 03 Nov 2024

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: 03 Nov 2024

https://github.com/sarowarahmed/advertising-sales-app

📈 Advertising Sales Predictor: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to forecast sales based on TV, Newspaper, and Online Advertising. Deployed on Streamlit Cloud for real-time, easy-to-use predictions.

advertising app machine-learning multiple-linear-regression numpy pandas sales scikit-learn streamlit

Last synced: 03 Nov 2024

https://github.com/aysh2603/credit-card-fraud-detection

The Credit Card Fraud Detection project aims to identify fraudulent transactions from a dataset of credit card transactions. The project addresses the challenge of class imbalance and employs advanced machine learning techniques to build an effective fraud detection model.

ensemble-learning hyperparameter-tuning numpy pandas python3 scikit-learn streamlit

Last synced: 03 Nov 2024

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: 03 Nov 2024

https://github.com/umasivakumar14/real_estate_ml_model

Predicts the price of a home in Bengaluru, Karnataka based on location, urbanization, total square feet, bedrooms, bathrooms, and balconies.

flask gridsearchcv http-requests machine-learning machine-learning-algorithms pandas python scikit-learn

Last synced: 03 Nov 2024

https://github.com/christianconchari/bike-sharing-demand

Este repositorio contiene el trabajo práctico final de la materia Aprendizaje de Máquina II de la Especialización en Inteligencia Artificial (CEIA) de la Facultad de Ingeniería de la Universidad de Buenos Aires (FIUBA).

airflow docker fastapi machine-learning mlflow python scikit-learn

Last synced: 03 Nov 2024

https://github.com/shaharband/calcofi-oceanographic-analysis

This repository contains an analysis of the CalCOFI (California Cooperative Oceanic Fisheries Investigations) dataset, which represents one of the longest and most complete time series of oceanographic and larval fish data in the world.

pandas regression scikit-learn

Last synced: 07 Nov 2024

https://github.com/ashishsingh789/bcg_virtual_internship

This repository showcases my BCG X virtual internship project on customer churn analysis for PowerCo, covering business understanding, EDA, feature engineering, and modeling using Python and machine learning.

data-manipulation data-science dataanalysis datavisualization eda machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/gabrielmazzotta/nlp-clustering--movie-similarity-from-plot-summaries

A Python-based movie recommendation system leveraging NLP and clustering techniques. This project includes data processing, vectorization of plot summaries, and the implementation of recommendation algorithms to suggest similar movies based on user input.

clustering cosine-similarity hierarchical-clustering kmeans lemmatization nlp recommendation-engine scikit-learn similarity-score spacy tokenization

Last synced: 03 Nov 2024

https://github.com/laoluadewoye/skloverlay

This repository is the official location of the SKLOverlay Project. Here, it will hold everything used for the package on Py Pi, including source files.

classification classification-algorithm data-science data-wrangling evaluation-metrics excel graphics graphs machine-learning machine-learning-algorithms matplotlib modeling pandas preprocessing scikit-learn

Last synced: 03 Nov 2024

https://github.com/ccastleberry/sk-autobots

Custom data transformers using the scikit-learn API.

scikit-learn sklearn sklearn-api

Last synced: 03 Nov 2024

https://github.com/pradeep31747/smartsuggest-personalized_product_recommendations

This project implements a personalized product recommendation system using machine learning techniques to enhance user experience and drive engagement.

jupyter-notebook keras numpy pandas pyhton scikit-learn sql tensorflow vscode

Last synced: 03 Nov 2024

https://github.com/vivekky57/car-price-prediction

Now you can get Car Price with this wonderful end-to-end project.

flask machine-learning machine-learning-algorithms python python3 random-forest-classifier scikit-learn

Last synced: 05 Nov 2024

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: 31 Oct 2024

https://github.com/kheriberto/linear_regression_ecommerce

Simple project showcasing crafting a linear regression model with SciKit Learn

data-analysis jupyter-notebook linear-regression pandas python scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/shahzaibdev355/house-recommendation-backend

House Recommendation Backend is a Flask-based API that provides house recommendations based on user input. It includes endpoints to check the backend's functionality, fetch state data, and get personalized house recommendations based on criteria like price, property size, number of beds, number of baths, and state.

flask flask-api flask-cors numpy pandas scikit-learn tensorflow

Last synced: 31 Oct 2024

https://github.com/yuweaec/wine_quality_prediction

The Wine Quality Prediction project aims to predict the quality of wine based on its chemical properties using machine learning algorithms.

flask jupyter-notebook machine-learning python scikit-learn

Last synced: 31 Oct 2024

https://github.com/dionixius7/titanic-disaster-ml-model

This project predicts the survival of passengers on the Titanic by using Kaggle Titanic Disaster Dataset. The dataset contains information related to passengers, such as age, gender, and class. Different machine learning algorithms have been applied for this predictive model to accomplish an accurate prediction that will define the survival chances

data-analysis data-science data-visualization eda knn-classifier machine-learning neural-network python scikit-learn svm tensorflow titanic-kaggle titanic-survival-prediction

Last synced: 12 Oct 2024

https://github.com/karthikarajagopal44/data-analysis-using-python-libraries-

The COVID-19 pandemic has significantly impacted India, necessitating a detailed analysis of the virus’s spread within the country. In this project, we explore an India-specific COVID-19 dataset, leveraging Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

data-cleaning data-visualization matplotlib numpy pandas python python3 scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/fahrettinsolak/ai-based-salary-scale-calculation-project

This project demonstrates a Polynomial Regression model using a dataset related to experience and salary. The model is built using Python with the pandas, matplotlib, and sklearn libraries. The dataset includes information on years of experience and corresponding salary.

artificial-intelligence deep-learning jupyter-notebook machine-learning matplotlib pandas pyhton scikit-learn

Last synced: 31 Oct 2024

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

Coronavirus Case Confirmed Trend Around The World

coronavirus pandas python scikit-learn

Last synced: 08 Nov 2024

https://github.com/angelarreola/ai_notes

Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.

ai matplotlib numpy pandas phaserjs python scikit-learn

Last synced: 04 Nov 2024

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: 30 Oct 2024

https://github.com/nicolascoiado/mulheres-ti

Este repositório contém um código em Python para analisar a evolução do número de mulheres na área de Tecnologia da Informação (TI) ao longo dos anos. Utilizando pandas para manipulação de dados e scikit-learn para criar um modelo de regressão linear, o objetivo é prever quantas mulheres estarão na TI em 2024 com base em dados históricos.

linear-regression matplotlib pandas python python3 scikit-learn

Last synced: 04 Nov 2024

https://github.com/cmdecker95/learning-ml

My first foray into machine learning, comprised of my early undergrad work (circa 2021-2022) 🤓

jupyter-notebook keras machine-learning scikit-learn tensorflow2

Last synced: 04 Nov 2024

https://github.com/akansharajput280799/data-driven-insights-into-job-satisfaction-and-compensation-trends

This project analyzes 2020 employee data to identify factors influencing job satisfaction, performance, and salary differences, offering insights for improving engagement and workplace strategies.

cluster-analysis colab-notebook data-cleaning descriptive-statistics factor-analysis hypothesis-testing jupyter-notebook matplotlib python scikit-learn seaborn t-test visualization

Last synced: 31 Oct 2024

https://github.com/cs50victor/cspaint

handwritten-text recognition application

ai machine-learning python scikit-learn

Last synced: 30 Oct 2024

https://github.com/maxwelllzh/linearizer

Linearizing parameters for linear regression

data-analysis machine-learning scikit-learn

Last synced: 04 Nov 2024

https://github.com/davidcgong/birddog.io

Real estate forecasting using Zillow Research data

forecasting pandas scikit-learn

Last synced: 04 Nov 2024

scikit-learn Awesome Lists
awesome-python-data-science 379 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 59 General 26 Deep Learning 11 Data Manipulation 8 Machine Learning 7 Deployment 7 Visualization 6 Model Explanation 5 Probabilistic Methods 5 Optimization 4 Reinforcement Learning 4 Computations 4 Time Series 3 Natural Language Processing 3 Web Scraping 3 Experimentation 2 Distributed Computing 2 Computer Vision 2 Feature Engineering 2 Automated Machine Learning 2