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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/anaconda/intel-green-ai

Code and Experimental Package attached to the article "Greener Machine Learning Computing with Intel AI Acceleration"

anaconda anaconda-environment green-ai machine-learning machine-learning-benchmarks scikit-learn scikit-learn-benchmarks

Last synced: 20 Nov 2024

https://github.com/katiebristol/epsilon_fe2o3_controls

Exploratory Data Analysis using machine learning techniques as an exercise for GLY6932 (Data Science and Machine Learning Methods in the Geosciences) at the University of Florida.

biplot exploratory-data-analysis k-means-clustering machine-learning one-hot-encoding paleomagnetism principal-component-analysis random-forest rock-magnetism scikit-learn

Last synced: 24 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: 21 Dec 2024

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/marconicivitavecchia/stazione-monitoraggio-ambientale

Codice in MicroPython per ESP32 per il corso tenuto dalla nostra scuola rivolto ai docenti sulla creazione di una stazione di monitoraggio ambientale che copre gli argomenti di Python, IoT ed Intelligenza Artificiale.

ai esp32 micropython micropython-esp32 python school-project scikit-learn

Last synced: 22 Dec 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: 21 Dec 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: 21 Dec 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: 21 Dec 2024

https://github.com/elprofesoriqo/chrome-extension-gmail-spam-filter

Chrome extension that automatically identifies and moves emails marked as spam to the spam folder in Gmail.

api-client chrome-extension firebase-database javascript machine-learning python scikit-learn

Last synced: 09 Jan 2025

https://github.com/suvasish114/house-price-estimation

A machine learning model that estimate housing prices in California using the California census data

jupyter-notebook machine-learning python scikit-learn

Last synced: 30 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: 21 Dec 2024

https://github.com/rusiruchapana/blood-group-prediction

Creating a machine learning project to predict blood groups from fingerprint patterns

asp-net-web-api keras matplotlib numpy opencv-python pandas pillow scikit-learn tensorflow

Last synced: 20 Nov 2024

https://github.com/khaymanii/big_mart_prediction_model

This model was built using Python and Logistic Regression Algorithm

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 20 Nov 2024

https://github.com/khaymanii/calories-burnt-prediction-model

This model was built using Python and XGBoost Regression algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 20 Nov 2024

https://github.com/khaymanii/diabetes_prediction_model

This is a Machine learning model built using Python

matplotlib numpy pandas python scikit-learn

Last synced: 20 Nov 2024

https://github.com/spignelon/letter-recognition_project-ml

A machine learning project for letter recognition using SVM, KNN, and Decision Tree, Random Forest, and Naive Bayes algorithms. Includes data preprocessing, model training, evaluation, and visualization, and research report.

decision-tree-classifier knn-classifier letter-recognition machine-learning machinelearning naive-bayes-classifier random-forest-classifier research research-paper research-project scikit-learn svm-classifier uci-dataset uci-machine-learning

Last synced: 17 Nov 2024

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: 07 Dec 2024

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: 07 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/vijaykumarr1452/customer-churn-prediction

Analysis the data of telecom company and insights gained to reduce customer churn.

anaconda jupyter-notebook machine-learning pandas prediction scikit-learn

Last synced: 15 Dec 2024

https://github.com/khaymanii/house-price-prediction-model

This model was built using Python and XGBoost Regression algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 20 Nov 2024

https://github.com/khaymanii/parkinsons-disease-detection-model

This model was built with Python and Support Vector Machine Algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 20 Nov 2024

https://github.com/icepanorama/internship-visualizations-and-demonstrations

A collection of some of the programs that I've written over the course of my internship.

artificial-intelligence machine-learning matplotlib numpy pandas python3 pytorch scikit-learn

Last synced: 06 Dec 2024

https://github.com/khaymanii/rock-or-mine-detection_model

This is a Machine learning model built using Python.

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 20 Nov 2024

https://github.com/khaymanii/titanic_survival_prediction_-model

This Model was built using Python and Logistic Regression algorithm

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 20 Nov 2024

https://github.com/khaymanii/loan_status_predictor

This is a loan status predictor model built using Support Vector Machine Algorithm and Gradio UI library

matplotlib numpy pandas python scikit-learn

Last synced: 20 Nov 2024

https://github.com/khaymanii/movie-recommendation-model

This is a model built using Python and Cosine Similarity algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 20 Nov 2024

https://github.com/henrytseng/example_docker_scikit-learn

A quick example of using Scikit-Learn from a Docker container

docker scikit-learn

Last synced: 01 Dec 2024

https://github.com/jayanthpotluri5513/chatviewapp

The ChatView App is an interactive tool for analyzing WhatsApp chat data. Utilizing TensorFlow, Keras, and Streamlit, it allows users to import .txt files, perform sentiment analysis, and visualize chat patterns and keyword trends, enhancing understanding of conversations.

deep-learning keras machine-learning nlp scikit-learn tensorflow

Last synced: 20 Dec 2024

https://github.com/emms21/thoughtful_ai

Technical Screening: an agent that responds to semantically similar questions with pre-defined answers, falling back to generic LLM responses otherwise

openai python scikit-learn streamlit

Last synced: 21 Nov 2024

https://github.com/bniladridas/churnprediction

Customers who'll likely stop using subscriptions.

dataset keras numpy pandas scikit-learn seaborn

Last synced: 20 Nov 2024

https://github.com/aldotestino/word-freq-email-classification

Simple email classifier using word frequency and Logistic Regression

docker email-classification fastapi logistic-regression python react scikit-learn

Last synced: 17 Nov 2024

https://github.com/anty-filidor/cyberbullying-detector

NLP bullying detector for tweets with ML model training pipeline deployed as web-app with CICD

deployment-system flask-api machine-learning nlp python scikit-learn

Last synced: 01 Dec 2024

https://github.com/lc-rezende/eqx_boston_dataset

Exploratory data analysis, clustering, and forecasting on Boston crime data (2011-2015), revealing key crime trends, hotspots, and temporal patterns to support data-driven insights for urban safety and policing strategies.

data-analysis exploratory-data-analysis jupyter-notebook kmeans matplotlib numpy pandas prophet-facebook python scikit-learn seaborn

Last synced: 17 Nov 2024

https://github.com/rtmigo/skifts_py

Search for the most relevant documents containing words from a query. Uses Scikit-learn and Numpy

cosine-similarity information-retrieval numpy python scikit-learn text-mining tf-idf

Last synced: 01 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/ansh-info/industrial-scale-penicillin-simulation

Optimizing industrial-scale penicillin production using machine learning and data analysis.

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

Last synced: 30 Nov 2024

https://github.com/sudothearkknight/15-machinelearningprojects

A curation of 15 Machine Learning projects in various fields that are helping me gain a better understanding of the different machine learning tools, techniques, algorithms and methodalogies.

classification-algorithm machine-learning machine-learning-algorithms natural-language-processing pycharm-ide python3 regression-models scikit-learn scikitlearn-machine-learning spam-detection

Last synced: 19 Dec 2024

https://github.com/radoslawregula/binary-classification-metrics

A model implementing a solution to the binary classification problem along with several accuracy metrics.

binary-classification classification jupyter-notebook machine-learning matplotlib pandas python scikit-learn stochastic-gradient-descent

Last synced: 20 Nov 2024

https://github.com/akapich/clustermatic

Python AutoML library for clustering tasks

automl clustering machine-learning scikit-learn

Last synced: 28 Dec 2024

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: 20 Nov 2024

https://github.com/radoslawregula/geo-music-classification

Jupyter notebook implementing a classification solution to the geographical origins of music problem.

classification jupyter-notebook machine-learning pandas python random-forest-classifier scikit-learn

Last synced: 20 Nov 2024

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: 07 Dec 2024

https://github.com/msikorski93/protein-tertiary-structure

Performing a regression task for estimating residue size based on given physicochemical properties of protein tertiary structures (CASP 5-9).

bioinformatics gradient-boosting multilayer-perceptron-network protein-structure-prediction regression-algorithms scikit-learn tensorflow

Last synced: 09 Jan 2025

https://github.com/anastasiaschmidt1/sqli-detection-ml

UNI-PROJEKT: Erkennung von SQL-Injection-Angriffen durch maschinelles Lernen (SVM-Modell)

bht-berlin machine-learning scikit-learn sqli svm

Last synced: 28 Dec 2024

https://github.com/serdaraydem1r/10dayaichallenge101

In the 10-day camp, we experienced the basics of machine learning by coding

artificial-intelligence machine-learning-algorithms model-evaluation-and-selection scikit-learn

Last synced: 22 Dec 2024

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: 22 Dec 2024

https://github.com/junya737/weighted-pls-regression

A Python implementation of Weighted Partial Least Squares Regression with support for sample weights.

machine-learning partial-least-squares-regression scikit-learn

Last synced: 28 Dec 2024

https://github.com/kumailn/machinelearning

Machine learning with Python

machine-learning python scikit-learn tensorflow

Last synced: 02 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: 21 Nov 2024

https://github.com/sivatsk26/university-admit-eligibility-predictor

This project is created using Machine Learning and Regression methods- a statistical technique to predict the outcome of event which is to verify the users’ admission eligibility level, considering the universities they have chosen. This is achieved based on the algorithms implemented, when is user feed the application with the required information

html-css-javascript ibm-cloud ibm-watson linear-regression machine-learning matplotlib numpy pandas python python-flask random-forest scikit-learn

Last synced: 18 Nov 2024

https://github.com/aishwaryagm1999/insurance-workflow-management

This project is an Insurance Workflow Management System designed to streamline policy management, claims processing, and fraud detection. It includes user account management, customer feedback analysis via NLP, alert notifications through SMS, and a fraud detection model, providing a secure, efficient solution for insurance operations.

css fraud-detection html json labelimg machine-learning natural-language-processing nlp opencv python qr-code-generator random-forest-classifier scikit-learn sms-notification tensorflow textblob twilio user-interface

Last synced: 18 Nov 2024

https://github.com/karimosman89/credit-scoring

Evaluate the creditworthiness of individuals.Develop a credit scoring model that evaluates the creditworthiness of individuals based on historical data.Help financial institutions assess risk more accurately.

decision-trees ensemble-methods logistic-regression pandas python scikit-learn

Last synced: 18 Nov 2024

https://github.com/hayatiyrtgl/topic_modeling_sklearn_lda

Python code: Uses LDA for topic modeling on text data.

lda lda-model machine-learning nlp python scikit-learn sklearn topic-modeling

Last synced: 22 Dec 2024

https://github.com/wesleybertipaglia/data-science-small-business

📊 Undergraduate Data Science project for small businesses, covering data-driven solutions for optimizing operations, increasing efficiency, and driving growth. Includes descriptive, predictive, and prescriptive analytics, machine learning, and decision strategies.

business-intelligence data-science machine-learning matplotlib pandas python scikit-learn

Last synced: 17 Nov 2024

https://github.com/lakshitalearning/spamfortress

A machine learning-based project to detect SMS spam messages with high accuracy, using the SMS Spam Collection Dataset and techniques like supervised learning, text preprocessing, and model comparison.

data-science google-colab machine-learning nlp scikit-learn sms-spam-detection

Last synced: 15 Nov 2024

https://github.com/lakshitalearning/churninsight

Customer Churn prediction means knowing which customers are likely to leave or unsubscribe from your service.

churn-prediction data-science flask google-colab machine-learning predictive-analytics python scikit-learn user-retention web-development

Last synced: 15 Nov 2024

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

Diabetes Prediction and Analysis (NHIS-2018)

eda jupyter python scikit-learn streamlit

Last synced: 15 Nov 2024

https://github.com/bsamseth/triangular-regressor

A scikit-learn compatible implementation of a 2D triangular regressor.

scikit-learn triangulation

Last synced: 13 Dec 2024

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: 20 Nov 2024

https://github.com/armanx200/income-predictor

🔍✨ A machine learning project that predicts income based on various demographic factors using Random Forest and Gradient Boosting algorithms. Includes data preprocessing, hyperparameter tuning, and model evaluation with detailed performance metrics. 📊🤖

arman-kianian classification data-preprocessing data-science gradient-boosting hyperparameter-tuning income-prediction machine-learning python random-forest scikit-learn

Last synced: 24 Nov 2024

https://github.com/moeeinaali/nlp-lsa

Applying Latent Semantic Analysis (LSA) to text data using scikit-learn.

lsa nlp scikit-learn

Last synced: 17 Nov 2024

https://github.com/byigitt/smartmove

fake data generation and analysis for ankara metro station

ankara cv2 metro numpy pandas scikit-learn

Last synced: 22 Dec 2024

https://github.com/tnleite/loan-approval-prediction

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

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

Last synced: 01 Dec 2024

https://github.com/apal21/tensorflow-pima-indians-dataset-classification

Pima Indians Dataset classification using Tensorflow Linear Classifier and DNN Classifier.

classification deep-neural-networks kaggle linear-classifier pandas pima-indians-dataset scikit-learn tensorflow

Last synced: 31 Dec 2024

https://github.com/kunalpisolkar24/dsbda_lab

Collection of practical codes for Savitribai Phule Pune University's Data Science and Big Data Analytics Laboratory (310256).

data-analytics data-preprocessing data-science data-wrangling descriptive-statistics linear-regression logistic-regression mapreduce scala scikit-learn sppu-computer-engineering tf-idf

Last synced: 15 Nov 2024

https://github.com/johnnixon6972/cirrhosis-outcomes-prediction

This leverages advanced machine learning techniques to predict patient outcomes for those suffering from cirrhosis. Utilizing a comprehensive dataset from a Mayo Clinic study, this project explores various data imputation methods and class balancing techniques to enhance prediction accuracy.

ai algorithms analytics artificial-intelligence machine-learning ml pandas python3 scikit-learn

Last synced: 17 Nov 2024

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

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

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

Last synced: 19 Nov 2024

https://github.com/ax-va/python-machine-learning-recipes-gallatin-albon-2023

Machine learning recipes in Python with scikit-learn, OpenCV, PyTorch, and other libraries, including classical machine learning and neural networks, based on the book "Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning", Second Edition, by Kyle Gallatin and Chris Albon published by O'Reilly Media in 2023

ax-va data-science deep-learning image-processing machine-learning neural-networks opencv opencv-python python pytorch scikit-learn

Last synced: 18 Nov 2024

https://github.com/moanassiddiqui/handsonml_ml

This is the complete part I of the Hands-On Machine Learning book which was about the classical machine learning models.

hands-on machine-learning scikit-learn

Last synced: 17 Nov 2024

https://github.com/himasnhu-at/freecodecamp--ml

ML Models I built for my freeCodeCamp's Machine Learning with Python certification

freecodecamp freecodecamp-project machine-learning machine-learning-algorithms matplotlib pandas python scikit-learn

Last synced: 06 Dec 2024

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: 20 Nov 2024

https://github.com/zsailer/skspline

A Scikit-learn interface on Scipy's spline.

scikit-learn scipy

Last synced: 22 Dec 2024

https://github.com/sarincr/training-on-artificial-intelligence

Entree Academy 10 Days free training on Artificial Intelligence. Course will be conducted in a Blended learning way with Daily one hour online training and 3 hour project based training

artificial-intelligence artificial-intelligence-algorithms data-analysis data-science data-visualization decision-trees deep-learning deeplearning logistic-regression machine-learning machine-learning-algorithms machinelearning num numpy pandas regression scikit-learn scipy sklearn

Last synced: 20 Nov 2024

https://github.com/prakashjha1/customer-segmentation

This repository contains a customer segmentation project implemented in a Jupyter Notebook using Python. Customer segmentation is a crucial strategy for businesses aiming to understand their customer base better, enabling targeted marketing strategies and personalized customer experiences.

clustering-algorithm customer-segmentation kmeans-clustering matplotlib python scikit-learn seaborn

Last synced: 15 Nov 2024

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