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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/labex-labs/unsupervised-learning-clustering

[Unsupervised Learning: Clustering] This repository collects 9 of programming scenarios (labs and challenges) for Unsupervised Learning: Clustering. In this course, you will fully understand unsupervised learning and learn to use unsupervised learning to perform data clustering.

awesome awesome-list challenges course education hands-on labex labs machine-learning programming scikit-learn

Last synced: 13 Nov 2024

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

[Supervised Learning: Classification] This repository collects 10 of programming scenarios (labs and challenges) for Supervised Learning: Classification. During this course, we will continue to learn another important application in supervised learning - solving classification problems. In the fo...

awesome awesome-list challenges course education hands-on labex labs machine-learning programming scikit-learn

Last synced: 13 Nov 2024

https://github.com/labex-labs/quick-start-with-tensorflow

[Quick Start with TensorFlow] This repository collects 9 of programming scenarios (labs and challenges) for Quick Start with TensorFlow. In this course, you will learn the basic concepts and syntax of TensorFlow 2, and how to use TensorFlow 2 to implement deep learning algorithms.

awesome awesome-list challenges course education hands-on labex labs machine-learning programming scikit-learn tensorflow

Last synced: 13 Nov 2024

https://github.com/labex-labs/foundations-of-deep-learning

[Foundations of Deep Learning] This repository collects 7 of programming scenarios (labs and challenges) for Foundations of Deep Learning. In this course, you will learn the basic concepts of deep learning, including the basic principles of neural networks, the basic principles of TensorFlow, Ker...

awesome awesome-list challenges course education hands-on labex labs machine-learning programming scikit-learn tensorflow

Last synced: 13 Nov 2024

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: 04 Dec 2024

https://github.com/nahom32/mlp-assignment

This repository is an implementation for machine learning assignment demonstrating the machine learning process.

eda logistic-regression machine-learning scikit-learn

Last synced: 05 Dec 2024

https://github.com/mramshaw/intro-to-ml

Intro to Machine Learning - Pattern Recognition for Fun and Profit

machine-learning matplotlib ml numpy pandas pip pip3 python scikit-learn scipy seaborn seaborn-plots sklearn statsmodels tensorflow weka

Last synced: 14 Jan 2025

https://github.com/mark1708/neurointerfaces-of-information-systems

Laboratory work on the discipline "Neurointerfaces of information systems"

numpy pandas python scikit-learn

Last synced: 12 Jan 2025

https://github.com/bhaveshbhakta/diabetes-prediction

Note* The hosted website link might take some time to load. Please be patient while the application initializes.

diabetes-prediction flask machine-learning python scikit-learn svm web-development

Last synced: 05 Dec 2024

https://github.com/daniel-fink-de/contextual-encoders

A library of scikit-learn compatible contextual variable encoders

data-science machine-learning scikit-learn

Last synced: 09 Jan 2025

https://github.com/vijaykumarr1452/startup_success_predictor

This project demonstrates the use of Multiple Linear Regression to predict the profits of startups based on investment in R&D, Administration, and Marketing of dataset (50_Startups.csv)

machine-learning multi-linear-regression numpy pandas python regression rsquare-values scikit-learn

Last synced: 05 Dec 2024

https://github.com/richardbmk/datascience_machinelearning

projects related with data science and machine learning projects.

data-science machine-learning matplotlib numpy pandas scikit-learn scipy seaborn

Last synced: 23 Nov 2024

https://github.com/xprithvi/random-forest-regressor

This Jupyter notebook serves as a machine learning template to quickly make predictions and analyse feature importance in a dataset.

data-science feature-extraction machine-learning random-forest random-forest-regression scikit-learn

Last synced: 19 Nov 2024

https://github.com/bestmahdi2/uni__pythonsupportvectormachinesbinaryclassification

A university project in which the binary classification of support vector machines is implemented with Python language

binary-classification classification matplotlib numpy python scikit-image scikit-learn seaborn support-vector-machine svm

Last synced: 16 Nov 2024

https://github.com/bestmahdi2/uni__decisiontreesinpythonpredictingdiabetes

A university project designed in Python decision tree for diabetes diagnosis

decision-tree diabetes-prediction graphviz pandas prediction pydotplus python scikit-learn

Last synced: 16 Nov 2024

https://github.com/a-poor/sample-model-serve

Demo for using Flask to serve a scikit-learn model as an API

api data-science docker flask machine-learning scikit-learn

Last synced: 07 Dec 2024

https://github.com/darenr/gradientboostingmachines

Notebooks exploring strengths and weaknesses of GBM based classifiers

jupyter-notebook lightgbm pandas scikit-learn xgboost

Last synced: 11 Dec 2024

https://github.com/heyitsjoealongi/fantasy-football-qbwr-model

Fantasy Football: Quarterback / Wide Receiver - Gaussian Process Regression (GPR) Machine Learning Model

machine-learning matplotlib model numpy python scikit-learn

Last synced: 14 Dec 2024

https://github.com/ledsouza/machine-learning-client-satisfaction

Este projeto tem como objetivo construir um modelo de Machine Learning capaz de prever a satisfação de clientes de uma companhia aérea.

cross-validation hyperparameter-optimization machine-learning machine-learning-algorithms mlxtend one-hot-encoding pandas python scikit-learn

Last synced: 14 Jan 2025

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: 23 Dec 2024

https://github.com/simranjeet97/spam-classification

Spam Classification Using Natural Language Processing (NLP), Scikit-Learn Library, and Bayesian Method.

data-science emails kaggle kaggle-dataset naive-bayes-classifier nlp-machine-learning nltk-python python scikit-learn spam-classification

Last synced: 14 Jan 2025

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

EDA and statistical tests on CriteoSearchData dataset

data-science pandas scikit-learn statistics

Last synced: 20 Nov 2024

https://github.com/vivprime/diabetes-prediction-system

MERISKILL INTERNSHIP: To predict whether an individual have Diabetes or not

django html scikit-learn

Last synced: 15 Dec 2024

https://github.com/theanujsinha01/ml-model-builder-app

This project is a user-friendly Machine Learning Model Builder developed with Streamlit. It allows users to upload datasets, clean data, preprocess features, and build, tune, and test various regression models interactively.

machine-learning-algorithms ml pandas python scikit-learn streamlit

Last synced: 12 Jan 2025

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: 11 Jan 2025

https://github.com/sudothearkknight/movie-recommendation-system

The primary goal of this project is to provide personalized movie recommendations to users based on their preferences and the characteristics of the movies. This is achieved through a multi-step process involving data preprocessing, text vectorization, and recommendation generation.

anaconda-environment data-science jupyter-notebook machine-learning movie-recommendation movies pandas python3 recommendation-system recommender-system scikit-learn scikitlearn-machine-learning

Last synced: 11 Nov 2024

https://github.com/pratishtha-abrol/sentimentanalysis

Logistic Regression: A sentiment analysis case study

logistic-regression nltk-python scikit-learn sentiment-analysis

Last synced: 12 Dec 2024

https://github.com/no-country-simulation/s16-21-n-data-bi

Analisis del COVID-19 - insights sobre la evolución de la pandemia - impacto en 5 paises sudamericanos.

eda etl machine-learning matplotlib pandas powerbi python scikit-learn seabron streamlit

Last synced: 11 Nov 2024

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: 22 Dec 2024

https://github.com/dmarks84/coursework_project_ml-model-eval-refine

Project for IBM Data Science course on ML Models & Analysis -- Read in large dataset of home sales and utilized polynomial linear regression analysis to make predictions of future home sales prices

classification communication data-modeling dataframes machine-learning matplotlib numpy pandas programming python regression scikit-learn scipy seaborn supervised-ml visualization

Last synced: 23 Dec 2024

https://github.com/aasjunior/machinelearningapp

O Machine Learning App é um aplicativo desenvolvido com Kotlin, Android Studio e Jetpack Compose, para aplicação de algoritmos de aprendizado de máquina e exibição dos resultados. Realizado como tarefa da disciplina de Laboratório Mobile/Computação Natural no 5º Semestre de Desenvolvimento de Software Multiplataforma.

fastapi jetpack-compose kotlin-android machine-learning material-design scikit-learn

Last synced: 30 Dec 2024

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: 30 Dec 2024

https://github.com/sonaligill/olympics-analysis

The outcome of this project is an interactive streamlit web application that visualizes the analysis of Olympic data while rendering different aspects of Olympic history, compare country performances, and gain insights into athlete demographics.

numpy plotly python scikit-learn scipy streamlit

Last synced: 12 Oct 2024

https://github.com/martinkersner/kmeans-meetup

Presentation about k-Means for Seoul AI Meetup on July 22, 2017.

kmeans numpy python scikit-learn

Last synced: 01 Jan 2025

https://github.com/tamk-kol/project_orbital_data_analysis

The goal of this project is to develop an automatic method to detect orbital maneuvers using machine learning.

matplotlib numpy pandas scikit-learn

Last synced: 31 Oct 2024

https://github.com/NoName115/Bachelor-thesis

Bachelor thesis - Determination of Gun Type and Position in Image Scene

bachelor-thesis classification computer-vision fit gun keras machine-learning scikit-image scikit-learn vut

Last synced: 23 Oct 2024

https://github.com/edgar-mendonca/resvox-resume-ats-analyser

ResuVox is a Flask-based web application designed to help job seekers optimize their resumes for Applicant Tracking Systems (ATS).

bootstrap5 css3 html5 nltk python scikit-learn

Last synced: 19 Nov 2024

https://github.com/adamouization/superconductors-critical-temperature-predictions-regression

:chart_with_upwards_trend: Machine Learning & Data Visualisation/Processing techniques for predicting the critical temperatures required for different superconductors to conduct electrical current with no resistance.

jupyter jupyter-lab jupyter-notebook machine-learning matplotlib matplotlib-pyplot numpy pandas prediction python python-3 regression regression-algorithms scikit-learn scikitlearn-machine-learning scipy

Last synced: 05 Jan 2025

https://github.com/sreekar0101/-movie-recommendation-system-using-python

The Movie Recommendation System is designed to suggest personalized movie recommendations by analyzing extensive datasets containing movie details and credits.ultilizes python libraries numpy pandas and scikit learn.The system achieved a 15% improvement in accuracy compared to the baseline model by identifying key factors that influence user choice

data-analysis data-visualization numpy-library pandas-dataframe scikit-learn seaborn-python

Last synced: 22 Nov 2024

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: 09 Jan 2025

https://github.com/themihirmathur/soiligator

Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.

auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine

Last synced: 01 Jan 2025

https://github.com/filsan95/project-iot_malware_identification

This repository contains the code and data for a project that detects malware from IoT devices using a publish-subscribe model with Confluent and Databricks. The project streams IoT device data to Kafka, analyzes it, and detects malware using machine learning models such as Random Forest and Gradient Boosted Trees.

apache-kafka classification confluent databricks machine-learning-algorithms scikit-learn sql

Last synced: 22 Nov 2024

https://github.com/gsmafra/sklearn-dummies

Scikit-learn label binarizer with support for missing values

data-science machine-learning pandas python scikit-learn

Last synced: 15 Dec 2024

https://github.com/belsabbagh/employee-turnover-and-customer-churn-classification

A data science project that tests mutliple models on an employee tunronver and customer churn problem

machine-learning pandas python scikit-learn

Last synced: 09 Jan 2025

https://github.com/venky-1710/stress-level-predection

Stress Level Prediction is a web app using machine learning to estimate user stress levels. It takes inputs like anxiety, sleep quality, and academic performance, then predicts stress using a Decision Tree Classifier. Built with Python, Flask, and scikit-learn, it's useful for students, researchers, and those interested in stress management.

css flask html machine-learning numpy pandas python python-sklearn scikit-learn

Last synced: 19 Nov 2024

https://github.com/ebadshabbir/decision_tree_algorithm

Decision Tree Classifier for Social Network Ads A Python implementation of a Decision Tree Classifier to predict user purchasing behavior based on age and estimated salary. Includes feature scaling, model evaluation (confusion matrix and accuracy), and visualizations of decision boundaries for both training and test sets.

decision-tree-classifier jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 16 Nov 2024

https://github.com/anibalalpizar/python-machine-learning-example

This code reads and preprocesses a dataset for classification using pandas, numpy, matplotlib and scikit-learn. The dataset is split into three parts for training, validation and testing. The data is then scaled and optionally oversampled for balanced classes.

machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 08 Jan 2025

https://github.com/venky-1710/superhero-recruitment

Superhero Recruitment System predicts hero selection using machine learning. Users input hero attributes through a web interface. A Random Forest model analyzes abilities, strengths, weaknesses, success rates, and missions completed. The Flask app displays results, showing if a hero is selected.

css flask html numpy pandas python scikit-learn

Last synced: 19 Nov 2024

https://github.com/toscdom/spam_detection

This repository contains a project focused on analyzing and classifying emails to detect SPAM. It includes: Training a machine learning classifier for SPAM detection. Identifying key topics in SPAM emails using NLP techniques. Calculating semantic distances to evaluate topic similarity. Tools used include Python libraries like nlp frameworks

classifier nlp nltk scikit-learn semantic-analysis spam-detection

Last synced: 13 Dec 2024

https://github.com/ahmedheakl/diabetes_classification_svm

Classifying patients to know if they have diabetes using Supporting Vector Machine Model.

machine-learning python scikit-learn

Last synced: 13 Jan 2025

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: 08 Jan 2025

https://github.com/bishopce16/cryptocurrencies

An analysis on cryptocurrencies dataset using unsupervised machine learning, PCA algorithm, and K-means clustering.

hvplot jupyter-notebook pandas plotly python scikit-learn unsupervised-machine-learning visual-studio-code

Last synced: 06 Jan 2025

https://github.com/bishopce16/credit_risk_analysis

An analysis to build and evaluate a dataset from LendingClub to discover credit risk using Supervised Machine Learning Algorithms.

imbalanced-learning jupyter-notebook machine-learning machine-learning-algorithms pandas python scikit-learn visual-studio-code

Last synced: 06 Jan 2025

https://github.com/saadarazzaq/custom-neural-networks

Perceptron, Multiclass and Deep Neural Network Implemented All in One Repo ✨

deep-neural-networks keras numpy perceptron python scikit-learn tensorflow

Last synced: 23 Nov 2024

https://github.com/chdl17/lead-score-case-study

Lead scoring is the process of assigning a numerical value or score to each lead, based on factors such as demographics and behavior, to determine their potential value as customers.

machine-learning-algorithms matplotlib-pyplot python scikit-learn

Last synced: 06 Jan 2025

https://github.com/imnotannamaria/ia-ml-scikit-learn

Learning tradicional machine learning with scikit-learn.

numpy pandas python scikit-learn seaborn

Last synced: 27 Dec 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/dwija12903/mentorness-internship

Developed and applied technical skills in areas such as programming languages, data analysis, and machine learning methodologies.

matplotlib numpy pandas python scikit-learn

Last synced: 08 Jan 2025

https://github.com/netcodez/climate-prediction-pipeline

Predicting London's climate using machine learning techniques. This project aims to forecast mean temperature in Celsius (°C) using various regression models and logging experiments with MLflow

huggingface machine-learning mlflow mlflow-tracking mlflow-tracking-server mlops python scikit-learn streamlit

Last synced: 15 Jan 2025

https://github.com/drorata/mnist-examples

ML examples for the MNIST dataset

machine-learning ml mnist python scikit-learn torch

Last synced: 15 Nov 2024

https://github.com/jihoonerd/restricted-discriminant-analysis

RDA implementation compatible with Scikit-learn API

discriminant-analysis rda scikit-learn

Last synced: 15 Jan 2025

https://github.com/hariprasath-v/av-dataverse-hack---insurance-claim-prediction

Create a machine learning model to predict if the policyholder will file a claim in the next 6 months or not based on the set of car and policy features.

analyticsvidhya classification exploratory-data-analysis f1-score matplotlib numpy pandas python randomforest-classification scikit-learn seaborn shap

Last synced: 13 Jan 2025

scikit-learn Awesome Lists
awesome-python-data-science 379 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 65 General 31 Deep Learning 11 Data Manipulation 8 Machine Learning 7 Visualization 6 Deployment 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