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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/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: 20 Jan 2025

https://github.com/mark-mdo47/family-machine-learning-project-2017

We are doing a two-part Machine Learning project this summer with SciKit-Learn and Keras/TensorFlow

machine-learning python scikit-learn tensorflow

Last synced: 22 Jan 2025

https://github.com/omar-karimov/ai4renewals-gendes

This project adopts a modular Python architecture within an MLOps framework to enhance subscription renewal predictions, utilizing FastAPI and MongoDB with AWS integration (S3, ECR, EC2). Docker ensures seamless deployment, and GitHub Actions automate the CI/CD workflows. Evidently AI monitors drift to guarantee predictive accuracy and reliability.

api aws deployment docker drift-detection ec2 ecr evidently fastapi github-actions mangodb mlops modularization pipeline s3 scikit-learn workflow yaml-configuration

Last synced: 22 Jan 2025

https://github.com/nurulashraf/telco-customer-churn-prediction-model

This repository contains a Telco Customer Churn Prediction project using machine learning. It includes data preprocessing, exploratory data analysis, feature engineering, and model development to predict customer churn. Key tools used are Python, Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn.

churn-prediction classification-model customer-churn data-visualization exploratory-data-analysis machine-learning predictive-analytics python scikit-learn

Last synced: 23 Jan 2025

https://github.com/kevin-patyk/mlobster

An educational project which aims to recreate the major algorithms and functionality of Scikit-learn in Rust.

educational-project machine-learning mlobster python rust scikit-learn

Last synced: 28 Jan 2025

https://github.com/kiapanahi/handson-machine-learning-book-playground

Sample codes and practices around the book "Hands-On Machine Learning with Scikit-Learn and TensorFlow"

machine-learning python scikit-learn tensorflow

Last synced: 16 Jan 2025

https://github.com/solrikk/magicxml

Magic-XML — is a modern web application developed for the convenient and swift transformation of data from XML files into CSV format. The application leverages the power of FastAPI to ensure high performance in request processing, as well as utilizes machine learning algorithms and natural language processing for efficient analysis

aplication app async cosinesimilarity cscart csv csv-files csv-format data fastapi machine-learning matrix python scikit-learn tfidf-vectorizer web webapp xml-parser

Last synced: 03 Feb 2025

https://github.com/kheriberto/knn_project

This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.

data-analysis knn-classifier numpy python scikit-learn seaborn

Last synced: 02 Feb 2025

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: 16 Jan 2025

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: 16 Jan 2025

https://github.com/somjit101/ds-logistic-regression

A simple implementation of the Logistic Regression Classifier on the Breast Cancer Dataset with L1 regularization and GridSearch for hyperparameter tuning.

breast-cancer-prediction breast-cancer-wisconsin grid-search grid-search-cross-validation hyperparameter-tuning logistic-regression machine-learning-algorithms regularization scikit-learn

Last synced: 16 Jan 2025

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: 10 Feb 2025

https://github.com/hokagem/damagedlogginganalyzer

A project about an analization of a statistic of damaged logging (wood) in Germany using Python.

analysis csv csv-parser k-fold-cross-validation numpy pandas pandas-dataframe pandas-python polynomial-regression scikit-learn statistics wood

Last synced: 03 Feb 2025

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

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

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

Last synced: 16 Jan 2025

https://github.com/vishal-verma-96/pre-owned-car-price-prediction-using-streamlit-app

Capstone Project by skill Academy- Exploratory Analysis, Visualization and Prediction of Used Car Prices. Deploying the highest-scoring model with Streamlit web app

data-analysis data-science jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python3 regression-algorithms scikit-learn seaborn streamlit

Last synced: 02 Feb 2025

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

Machine Learning python bootcamp: K mean clustering with public/private universities dataset

k-mean-clustering machine-learning numpy pandas python scikit-learn seaborn

Last synced: 30 Jan 2025

https://github.com/lorenzorottigni/ml-yelp-reviews

Machine Learning python bootcamp: natural language processing on Yelp reviews

machine-learning nlp numpy pandas python scikit-learn seaborn

Last synced: 30 Jan 2025

https://github.com/karimosman89/customer-churn-prediction

Predict which customers are likely to stop using a service.Build a model to predict which customers are likely to stop using a service or product. This can help companies take proactive measures to retain customers.Provide actionable insights and retention strategies based on the model’s predictions.

matplotlib-pyplot pandas python scikit-learn seaborn

Last synced: 20 Dec 2024

https://github.com/karimosman89/energy-consumption-forecasting

Predict future energy consumption based on historical data.Create a model that predicts energy consumption in households or businesses to optimize energy distribution and reduce costs.Assist energy companies in planning and managing supply efficiently.

arima lstm matplotlib pandas python scikit-learn

Last synced: 20 Dec 2024

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

IBM Professional data science certificate Final Project Notebooks

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

Last synced: 22 Jan 2025

https://github.com/priyanshulathi/cancer-diagnosis-prediction-model

A Machine Learning project to predict cancer malignancy using K-Nearest Neighbor, Support Vector Machine, and Decision Tree algorithms.

machine-learning numpy pandas python scikit-learn

Last synced: 22 Jan 2025

https://github.com/smahala02/svm-machine-learning

This repository provides an in-depth tutorial and practical implementation of Support Vector Machines (SVM) for classification tasks, using Python and popular data science libraries.

classification data-science machine-learning python scikit-learn svm

Last synced: 22 Jan 2025

https://github.com/dwija12903/password-strength-checker

A Model to evaluate the strength of passwords and enhance security for your applications.

matplotlib pandas scikit-learn seaborn xgboost

Last synced: 22 Jan 2025

https://github.com/sudarshanc00/brain-tumor-classification

This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.

matplotlib numpy pytorch resnet scikit-learn streamlit

Last synced: 21 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/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: 20 Jan 2025

https://github.com/ojhaharsh/rockvsmine-prediction

Streamlit App for Predicting Rock vs. Mine using SONAR Data. The app allows users to input SONAR readings and returns predictions based on trained data.

machine-learning python scikit-learn

Last synced: 22 Jan 2025

https://github.com/rinuya/ml-cancer-diagnosis

Binary classficiation using MLP & Random Forest

ml mlp random-forest scikit-learn

Last synced: 22 Jan 2025

https://github.com/gititsid/visaverdict

A ML project to predict possibility of US Visa approval

classification python3 random-forest-classifier scikit-learn

Last synced: 22 Jan 2025

https://github.com/shubhamsoni98/prediction-with-binomial-logistic-regression

To predict client subscription to term deposits and optimize marketing strategies by identifying potential subscribers.

binomial data data-science eda machine-learning matplotlib pipeline python scikit-learn seaborn sklearn sql visualization

Last synced: 22 Jan 2025

https://github.com/ashrw/handwritten_digit_recognizer

A handwritten digit recognition system using Python and Scikit-learn to preprocess images and classify digits with a trained SVM model.

ml python scikit-learn

Last synced: 22 Jan 2025

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

Included are all the worth-noting Data Science projects in my learning journey with DataCamp.

data-analysis data-science exploratory-data-analysis feature-engineering machine-learning modelling preprocessing-data scikit-learn supervised-learning

Last synced: 22 Jan 2025

https://github.com/zahediparsa/ml_birkaracademy

Developed exercises and practical tasks to help students grasp key machine learning topics in a course hosted by Birkar Academy and ICDS.ai

decision-trees iris-dataset knn machine-learning mlp-classifier scikit-learn

Last synced: 22 Jan 2025

https://github.com/pranavgautam29/flight-price-prediction

The Flight Price Prediction project uses machine learning to forecast flight ticket prices based on historical data. Hosted on Streamlit Community Cloud and deployed via Streamlit, this application allows users to input flight details such as departure and arrival airports, travel dates, and class to receive accurate price predictions.

machine-learning prediction-model regression scikit-learn statistical-machine-learning streamlit

Last synced: 22 Jan 2025

https://github.com/samjoesilvano/password_strength_prediction_using_nlp

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

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

Last synced: 26 Jan 2025

https://github.com/lordhacker756/estate-ai

Estate AI is a machine learning application that predicts the approximate rent a user would need to pay for their requirement across major metro cities of India. It is built using NextJS 13, TailwindCSS, and TypeScript for the frontend, Scikit Learn for Model Training and and Flask for the backend.

fastapi flask machine-learning nextjs13 scikit-learn

Last synced: 03 Feb 2025

https://github.com/shendrew/coursescope

Machine learning for course classification by topics

beautifulsoup machine-learning nlp scikit-learn

Last synced: 20 Jan 2025

https://github.com/alphacrypto246/insurance-charges-prediction

The Predicting Insurance Charges project uses Decision Tree Regression to predict insurance charges based on features like age, sex, BMI, and smoking habits. It involves data preprocessing, feature scaling, and model evaluation with metrics like MAE and R².

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 10 Feb 2025

https://github.com/labex-labs/sklearn-practice-plus

[scikit-learn Practice Plus]-In this course, You will practice more labs of scikit-learn. This will help you to master the skills more deeply.

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

Last synced: 13 Nov 2024

https://github.com/alphacrypto246/stock-price-movement-prediction

A project leveraging Polynomial Regression to predict stock price movements based on historical data. Includes data preprocessing, feature engineering, visualization, and model evaluation to provide insights for informed trading decisions.

machine-learning numpy pandas polynomial-regression scikit-learn yfinance

Last synced: 10 Feb 2025

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/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: 10 Feb 2025

https://github.com/cnoret/hexa-watts

Interactive data visualization and machine learning app for energy consumption analysis and prediction in France, built with Streamlit. (Text in French)

data-visualization electricity-forecasting energy-analysis france machine-learning scikit-learn streamlit

Last synced: 09 Feb 2025

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/alphacrypto246/old-car-price-prediction

The Old Car Price Prediction project predicts used car prices using features like age, mileage, and fuel type. It includes data preprocessing, model training, and visualization of trends, with easy customization for additional features or models.

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 10 Feb 2025

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/virajbhutada/article-recommendation-system

This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.

anaconda article-recommendation clustering-algorithm data-analysis data-science keras-tensorflow machine-learning machine-learning-algorithms ml-models numpy pandas plotly python scikit-learn scipy

Last synced: 01 Feb 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/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/divakarkumarp/pneumonia-detection

Deep learning (DL) model is a pneumonia fighter! Trained on chest X-ray images, it analyzes patterns to detect the lung infection. Imagine a digital doctor scrutinizing the X-ray, pinpointing areas that might be pneumonia. The model outputs a probability score, helping doctors confirm or rule out the illness.

cnn deep-learning docker keras python scikit-learn streamlit tensorflow

Last synced: 22 Jan 2025

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/roboneet/enron_analysis

udacity project (to be complete)

machine-learning scikit-learn

Last synced: 30 Jan 2025

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: 03 Feb 2025

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/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: 02 Feb 2025

https://github.com/hasanulmukit/spam-email-classifier

This is a Spam Email Classifier built using Python and Streamlit. It uses a pre-trained model to predict whether an email is Spam or Not Spam. The app also provides the probability scores for both categories, enhancing transparency and reliability of the prediction.

email-classifier machine-learning nlp python scikit-learn spam-detection streamlit text-classification

Last synced: 03 Feb 2025

https://github.com/wuweiweiwu/zookeeper-bot

Bot for Facebook Messenger game Zookeeper using scikit-learn SVM :dromedary_camel:

facebook-messenger scikit-learn svm zookeeper

Last synced: 24 Jan 2025

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: 03 Feb 2025

https://github.com/mathealgou/ml-jobs

This project is a machine learning exercise, the application receives a set of skills from the user and returns a job title that matches the skills entered. It uses the Random Forest algorithm to make the prediction base on a jobs dataset.

machine-learning python random-forest-classifier scikit-learn

Last synced: 24 Dec 2024

https://github.com/arssite/dirty-cleanflooringimageprocessingusingyolov5

Uses YOLOv5 to classify floor cleanliness into five categories based on visual cues. It includes an annotated dataset, trained model,& evaluation outputs. Code covers data preprocessing, training, & testing. A comparative analysis highlights YOLOv5's advantages over traditional methods, providing an efficient solution automated floor cleanliness.

deep-neural-networks github google-colab jupyter-notebook labelimg matplotlib-pyplot numpy-library opencv-python pandas-python pytorch scikit-learn tensorflow yolov5

Last synced: 01 Feb 2025

https://github.com/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization

A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.

dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python

Last synced: 03 Feb 2025

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/tnleite/credit-card-customer-clustering

Este repositório apresenta um projeto de segmentação e predição de clientes de cartões de crédito. Utilizando EDA, clusterização (K-Means) e machine learning, o objetivo é prever o grupo de novos clientes, apoiando estratégias de marketing personalizadas.

classification-algorithm clustering-algorithm clustering-analysis data-science exploratory-data-analysis kmeans-clustering logistic-regression machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn seaborn

Last synced: 04 Feb 2025

https://github.com/avik-pal/kaggle-titanic

Predicting whether a given set of people survive on the Titanic

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 21 Jan 2025

https://github.com/lorenzorottigni/ml-lending-club

Machine Learning python bootcamp: random forest classifier on LendingClub dataset

ipynb machine-learning numpy pandas python random-forest-classifier scikit-learn seaborn

Last synced: 30 Jan 2025

https://github.com/ameykasbe/credit-card-fraud-detection-on-imbalanced-dataset

Examined data preprocessing techniques and performance of six different predictive models in Python to credit card fraud detection problem on an imbalanced dataset. Algorithms implemented - Logistic Regression, K Nearest Neighbours, Support Vector Classification, Naïve Bayes Classifier, Decision Tree Classifier, and Random Forest Classifier.

classification machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Feb 2025

https://github.com/evanch98/predict-concrete-strength-keras

Predict-concrete-strength deep learning model trained using Keras. This project is part of the IBM AI Engineering Professional Certificate.

deep-learning google-colab jupyter-notebook keras keras-tensorflow numpy pandas python regression-models scikit-learn

Last synced: 22 Jan 2025

https://github.com/smaddanki/data-science

Code blocks, algorithms, and research snippets in Data Science, Machine Learning, AI & Quant Finance.

deep-learning machine-learning pytorch scikit-learn spark

Last synced: 08 Feb 2025

scikit-learn Awesome Lists
awesome-python-data-science 379 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 67 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