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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/mpolinowski/fisher-discriminant-analysis

LDA is a widely used dimensionality reduction technique built on Fisher’s linear discriminant.

linear-discriminant-analysis matplotlib-pyplot python scikit-learn

Last synced: 28 Jan 2025

https://github.com/srikarveluvali/heart-disease-prediction-ml

This machine learning project aims to predict the presence or absence of heart disease in individuals based on a set of health-related features. By utilizing a dataset containing information about patients, we employ various machine learning techniques and data analysis to build a predictive model.

exploratory-data-analysis machine-learning python scikit-learn

Last synced: 23 Jan 2025

https://github.com/mpolinowski/local-linear-embedding

Improve Data Quality by discarding non-correlating, noisy Dimensions

locally-linear-embedding pyplot python scikit-learn

Last synced: 28 Jan 2025

https://github.com/sckonung/crab-age-regression

ML model for regression with a crab age dataset Competition in Kaggle

keras machine-learning pandas python scikit-learn tensorflow

Last synced: 21 Dec 2024

https://github.com/mpolinowski/multi-dimensional-scaling

Multidimensional Scaling is a family of statistical methods that focus on creating mappings of items based on distance.

matplotlib-pyplot multi-dimensional-scaling python scikit-learn

Last synced: 28 Jan 2025

https://github.com/mpolinowski/scikit-wine-quality

Predicting Wine Quality with Several Classification Techniques using SciKit Learn.

feature-classifiers python scikit-learn

Last synced: 28 Jan 2025

https://github.com/mpolinowski/tstochastic-neighbor-embedding

Improve Data Quality by discarding non-correlating, noisy Dimensions

matplotlib-pyplot python scikit-learn t-sne

Last synced: 28 Jan 2025

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: 21 Dec 2024

https://github.com/priyanshulathi/air-quality-index-prediction

Machine learning based air quality index prediction using environmental and pollutant data to classify and forecast pollution levels.

machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 19 Dec 2024

https://github.com/jt2m0l3y/quantified-self

The final project for an introduction to data science, this project is a practice in supervised machine learning with kNN and Decision Tree Classifiers.

data-visualization decision-trees eda jupyter-notebooks knn-classification latex markdown numpy pandas python scikit-learn statistical-analysis supervised-learning

Last synced: 27 Dec 2024

https://github.com/bruceunx/ai-simulator

aiplayground 人工智能学习乐园

ai maching-learning scikit-learn

Last synced: 15 Jan 2025

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: 21 Dec 2024

https://github.com/namratha2301/bangalorehousepricepredictor

Predicting house price in Bangalore based on the key features of the house like number of rooms, size in square feet etc.

azure bashscript docker flake8 flask github-actions scikit-learn

Last synced: 28 Jan 2025

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: 21 Dec 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: 21 Dec 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: 21 Dec 2024

https://github.com/aryan-coder-student/smart-agricultural-monitering-aryanpahari037-

Increase agricultural productivity and sustainability by offering a smart farming assistant that helps farmers make data-driven decisions to optimize resource use and crop management.

hackathon-project machine-learning numpy pandas python scikit-learn

Last synced: 05 Feb 2025

https://github.com/barrettotte/anilist-ml

Training a binary classifier model to predict if I would recommend an anime using my Anilist user data.

anilist binary-classification data-visualization machine-learning scikit-learn

Last synced: 03 Feb 2025

https://github.com/viniciusds2020/ml_pycaret_classificacao

Sistema de preprocessamento e treinamento de modelos de machine learning utilizando PyCaret. Uma metodologia low-code para processos de MLops

machine-learning mlops preprocessing pycaret python scikit-learn

Last synced: 05 Feb 2025

https://github.com/idaraabasiudoh/drug_prescribtion_decision_tree_model

This repository contains a machine learning project focused on classifying drugs based on patient characteristics using a Decision Tree classifier. The project uses Python and popular data science libraries such as scikit-learn, pandas, and matplotlib.

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

Last synced: 14 Jan 2025

https://github.com/thbaylson/datascience

All of my past data science assignments put into one singular notebook. The notebook begins with Intro to Data Visualization and ends with Machine Learning.

data-analysis data-science data-visualization decision-tree jupyter-notebook k-nearest-neighbors linear-regression machine-learning neural-network pandas-library python3 scikit-learn

Last synced: 28 Jan 2025

https://github.com/blaz-cerpnjak/student-dropout-prediction

Student dropout predictions based on grades and other info. Classification problem with MLPClassifier.

classification machine-learning mlpclassifier neural-networks poetry predicting-student-dropout python scikit-learn scikit-learn-pipelines

Last synced: 23 Jan 2025

https://github.com/harshitwaldia/disease_detection

A disease detection system using Random Forest Classifier and GUI in Python, identifying illnesses based on user symptoms.

pandas-python python3 random-forest-classifier scikit-learn tkinter-gui

Last synced: 03 Feb 2025

https://github.com/raduldev/ml-projects

End To End Machine Learning Project guided by Krish Naik from Ineuron.

catboost dill flask-application numpy pandas python scikit-learn xgboost

Last synced: 29 Jan 2025

https://github.com/alexsolov28/ml_course

Курс "Технология машинного обучения"

colab-notebooks jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 19 Dec 2024

https://github.com/thekartikeyamishra/resumeevaluatorapp

The Automated Resume Evaluator is a Python-based application that helps evaluate resumes against job descriptions. It calculates an Applicant Tracking System (ATS) score, which is the percentage of keywords from the job description found in the resume.

flask machine-learning matplotlib nlp nltk pypdf python scikit-learn spacy textblob

Last synced: 03 Feb 2025

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

Basic linear regression using data from Kaggle https://www.kaggle.com/adityadesai13/used-car-dataset-ford-and-mercedes/tasks?taskId=1258

linear-regression numpy pandas plots scikit-learn scipy seaborn-plots

Last synced: 20 Jan 2025

https://github.com/stefagnone/-air-france-sponsored-search-campaign-optimization

Optimized Air France's online advertising campaigns using advanced regression modeling and data analysis, uncovering actionable insights to maximize ROI and enhance ad performance.

advertising-analytics air-france data-science digital-marketing marketing-campaigns predictive-modeling python r regression-analysis roi-optimization scikit-learn sponsored-search

Last synced: 03 Feb 2025

https://github.com/cptanalatriste/copycat-detector

A Naive-Bayes classifier for detecting plagiarism.

amazon-sagemaker naive-bayes-classifier scikit-learn

Last synced: 12 Jan 2025

https://github.com/radoslawregula/iris-classification

Jupyter notebook implementing an efficient machine learning method to classify flowers from the Iris data set.

classification iris-dataset jupyter-notebook machine-learning python scikit-learn softmax-classifier

Last synced: 21 Jan 2025

https://github.com/callesjuan/ninjalprm

Protótipo de ferramenta de agrupamento de dispositivos Android por geolocalização (Server)

python scikit-learn xmpp

Last synced: 24 Oct 2024

https://github.com/boomerspine/selflearning_chatbot

Self learning chatbot using python

python scikit-learn

Last synced: 27 Jan 2025

https://github.com/tomgorb/ds-utils

pre-processing of a DataFrame into a sparse matrix for model input

machine-learning preprocessing scikit-learn

Last synced: 09 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/svetlanam/pycon-workshop

Pycon CZ workshop: Better data analyses and product recommendations with Instagram data

data-analysis data-science martinus matplotlib pandas pycon2016 pyconcz python scikit-learn workshop

Last synced: 13 Jan 2025

https://github.com/kalelmartinho/imersao_dados_3

Terceira edição da Imersão Dados da Alura. O projeto foi inspirado em um desafio do Laboratory innovation science at Harvard disponibilizando os dados em uma competição no kaggle.

alura data-science imersaodados imersaodados3 pandas python3 scikit-learn

Last synced: 13 Jan 2025

https://github.com/kumailn/machinelearning

Machine learning with Python

machine-learning python scikit-learn tensorflow

Last synced: 02 Jan 2025

https://github.com/virajbhutada/article-clustered-recommendation-system-ml

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: 15 Oct 2024

https://github.com/archie-cm/churn-analysis-ecommerce-customer

The objective of this project to is to predict customer churn, loss opportunity and provide recommendations to the business team so the company can implement a customer persona in retention strategy and can monitoring throught dashboard interactive.

data-science feature-engineering machine-learning python scikit-learn

Last synced: 20 Jan 2025

https://github.com/lefteris-souflas/modern-slavery-analysis

Jupyter notebook using machine learning techniques to explore the complex drivers of modern slavery. Models from a research paper are replicated and evaluated . Actions also include filling missing data, training regression models, and analyzing feature importance.

decision-tree feature-importance grid-search-cv imputation jupyter-notebook lasso-regression linear-regression matplotlib mean-absolute-error numpy pandas preprocessing principal-component-analysis python3 random-forest ridge-regression scikit-learn seaborn

Last synced: 12 Jan 2025

https://github.com/marknature/machine-learning-intern

Machine Learning tasks involving the Titanic Dataset and Breast Cancer Wisconsin (Diagnostic) dataset

data-analysis github jupiter-notebook machine-learning matplotlib numpy pandas python scikit-learn sklearn

Last synced: 13 Jan 2025

https://github.com/lucs1590/commom_segmentations

The purpose of this repository is to document and expose code samples using common threading techniques.

computational-vision machine-learning open-source opencv python scikit-image scikit-learn segmentation sklearn

Last synced: 13 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/ejw-data/ml-classification-credit-risk

Compares several machine learning classification models to determine whether to approve or reject a loan request

classification python scikit-learn

Last synced: 22 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/ejw-data/ml-clustering-crypto

Compares several machine learning clustering models to determine whether the currencies can be logically classified based on the given data

clustering python scikit-learn

Last synced: 22 Jan 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/eesunmoon/aml_project

[Project] Analyzing Fitness Patterns & Building Predictive Models

matplotlib numpy pandas python3 recommender-system scikit-learn seaborn tensorflow

Last synced: 03 Feb 2025

https://github.com/rririanto/thesis-projects

The computer science thesis project that I worked on when I was a student and was looking for a part time job

bag machine-learning python2 python27 scikit-learn surf

Last synced: 20 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/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/nfordumass/nbafinalsmvp_ml

A python machine learning analysis of who should've won NBA Finals MVP each year.

jupyter-notebook machine-learning python scikit-learn

Last synced: 02 Feb 2025

https://github.com/darenr/gradientboostingmachines

Notebooks exploring strengths and weaknesses of GBM based classifiers

jupyter-notebook lightgbm pandas scikit-learn xgboost

Last synced: 05 Feb 2025

https://github.com/mostafa-ghaith/deadlift-o-meter

Deadlift-o-Meter is a project that utilizes a Scikit-Learn model, Mediapipe, and Tkinter to count correct deadlift reps using a live webcam feed. The application analyzes the user's body movements and provides real-time feedback on their performance.

body-movement-classification computer-vision deadlift landmark-detection live-webcam-analysis mediapipe pose-estimation rep-counter scikit-learn tkinter

Last synced: 24 Jan 2025

https://github.com/gamowy/music_classification

Music genre classification using k nearest neighbors classifier based on gtzan dataset

machinelearning python scikit-learn university-assignment

Last synced: 25 Nov 2024

https://github.com/shubhamsoni98/project_using_knn

This project applies the K-Nearest Neighbors (KNN) algorithm to predict iPhone purchases based on customer data. Using features like age, salary, and previous purchase behavior, the KNN model classifies customers into buyers and non-buyers.

anaconda analytics data data-science eda knn knn-classification machine-learning-algorithms predict project python scikit-learn tableau

Last synced: 22 Jan 2025

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/skekre98/movie-recommender

Content-based recommendation engine for movies

cosine-similarity recommendation-system scikit-learn

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/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/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/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/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/lingumd/neural_network_charity_analysis

Machine learning and neural networks used to create a binary classifier capable of predicting whether applicants will be successful if funded by Alphabet Soup.

deep-learning machine-learning matplotlib-pyplot neural-networks onehotencoder pandas scikit-learn seaborn standardscaler tensorflow

Last synced: 23 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/lingumd/cryptocurrencies

Unsupervised machine learning models used to group the cryptocurrencies to help prepare for a new investment.

concatenate elbow-curves get-dummies hvplot jupyterlab kmeans matplotlib-pyplot minmaxscaler pandas path pca-analysis plotly-express scikit-learn unsupervised-machine-learning

Last synced: 23 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/lilivalgo/machine-learning-projects

This repository hosts the machine learning project developed during my learning journey. It showcases my progress and the skills acquired in the field of machine learning

lag-feature linear-regression ml-models scikit-learn scipy-stats seaborn-plots

Last synced: 02 Feb 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/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

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