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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/techysphinx/transportation_backventures

Road Transport Network Telematics Develop a telematics solution to enable efficient trucking operations for the long haul to connect the country through route optimization, live tracking and monitoring, optimal capacity utilization analysis and to enable appropriate response. Please go through the given figma design link.

fastapi jupyter-notebook ml scikit-learn

Last synced: 10 Feb 2025

https://github.com/jasper-koops/easy-gscv

This library allows you to quickly train machine learning classifiers by automatically splitting the data set and using both grid search and cross validation in the training process.

classification machine-learning python3 scikit-learn

Last synced: 13 Feb 2025

https://github.com/official-biswadeb941/clopimedi---your-healths-trusted-care

ClopiMedi is an AI-driven healthcare application that simplifies doctor appointment bookings, offering personalized recommendations based on medical conditions to enhance patient-provider connections.

adam ai flask flask-api flask-api-backend full-stack-web-development joblib machine-learning scikit-learn tensorflow

Last synced: 06 Feb 2025

https://github.com/uhstray-io/pyrizon

Data Collection, Analysis, Mapping, Pipelining & Transformation, & API using Python

api data-engineering etl numpy pandas plotly python pytorch raw-data scikit-learn seaborne sql sqlite tensorflow

Last synced: 03 Feb 2025

https://github.com/swimshahriar/heart-attack-prediction

Heart attack prediction from 13 features.

jupyter-notebook pandas python3 scikit-learn

Last synced: 13 Feb 2025

https://github.com/aravindnathan02/machine-learning-projects

Machine Learning and Deep Learning projects which mainly focuses on predictive modeling.

deep-learning machine-learning neural-networks predictive-modeling python scikit-learn tensorflow

Last synced: 03 Feb 2025

https://github.com/antonio-f/find-duplicate-questions

Find duplicate questions on StackOverflow by their embeddings. From the Natural Language Processing course - Coursera's Advanced Machine Learning specialization.

cosine-similarity discounted-cumulative-gain embeddings gensim natural-language-processing nlp nltk scikit-learn starspace text-similarity word2vec

Last synced: 06 Feb 2025

https://github.com/carmoreno/analisisaccidentalidadbogota

Data Analysis about traffic accidents at Bogotá, Colombia.

data-analysis data-science jupyer-notebook matplotlib numpy pandas scikit-learn

Last synced: 05 Jan 2025

https://github.com/omanshu209/ml-basics-2022

Machine Learnings(AI) models developed using the scikit-learn library in Python.

jupyter-notebook machine-learning python python3 scikit-learn

Last synced: 30 Jan 2025

https://github.com/jibbs1703/classic-ml-models

This repository contains scripts for developing, training and evaluating machine learning models using several python frameworks.

aws data-preprocessing data-science deep-learning feature-engineering machine-learning multiclass-classification neural-networks predictive-modeling pyspark-mllib pytest scikit-learn xgboost-classifier

Last synced: 10 Feb 2025

https://github.com/adzialocha/notebook

Jupyter notebooks for random experiments with audio processing, data analysis and machine learning

jupyter-notebook keras learning librosa music21 scikit-learn

Last synced: 22 Dec 2024

https://github.com/chitralputhran/drive-curve-machine-learning-app

:blue_car: Drive Curve is a web application made with the help of Flask, a microframework for Python based on Werkzeug, Jinja 2, and good intentions. On the backend, a Machine Learning model is used for predicting the price of the car. The machine learning model was trained on the Automobile Dataset from the UCI Machine Learning Repository.

flask machine-learning python scikit-learn webapp

Last synced: 21 Jan 2025

https://github.com/chitralputhran/tutorial-sklearn-columntransformer

ColumnTransformer was introduced in scikit-learn from version 0.20 onwards. The notebook file contains a quick and easy tutorial on ColumnTransformer to get you started.

scikit-learn

Last synced: 21 Jan 2025

https://github.com/palak-463/tablataalrecognitionsystem

Software built using Python which makes use of CNN and FNN to detect the Taals of the Tabla, an Indian classical music instrument. 🎛️

cnn deep-learning flask fnn librosa numpy os pickle python scikit-learn

Last synced: 09 Jan 2025

https://github.com/queirozpedro/cluesuspeitos

Estudando o funcionamento do Jogo Clue Suspeitos e implementando treinamento com MLP

matplotlib mlp-classifier python scikit-learn

Last synced: 21 Jan 2025

https://github.com/aryansk/customer-segmentation-analysis

Advanced customer segmentation project using K-Means clustering to analyze customer behavior based on annual income, spending score, and age.

elbow-method exploratory-data-analysis machine-learning machine-learning-algorithms python scikit-learn sentiment-analysis sentiment-classification

Last synced: 01 Feb 2025

https://github.com/aymanmansur/insider-threat-detection-using-cert-dataset-logon-

Detecting anomalies in user logon behavior using the CERT Insider Threat Detection Dataset. This project extracts key features like session duration and logon frequency during non-working hours and applies Isolation Forest to identify suspicious activity.

matplotlib pandas python scikit-learn

Last synced: 03 Feb 2025

https://github.com/juselara1/bregclus

Python implementation of Bregman Hard Clustering and Bregman Soft Clustering as a scikit-learn module.

bregman-divergence clustering numpy scikit-learn unsupervised-learning

Last synced: 31 Dec 2024

https://github.com/ladityagogoi/shadowguard

The ShadowGuard Browser Extension is a powerful tool designed to enhance user experience by identifying and highlighting potential dark patterns on websites. Our extension employs a combination of machine learning algorithms and natural language processing (NLP) models to detect and classify various deceptive design practices

css flask html javascript joblib numpy pandas python scikit-learn

Last synced: 13 Jan 2025

https://github.com/jesly-joji/spam-ham-classifier

Used Naive Bayes Algorithm, NLP Text Preprocessing Techniques

naive-bayes-classifier nlp scikit-learn streamlit text-preprocessing

Last synced: 13 Feb 2025

https://github.com/tsu2000/audit_risk

Machine learning web app in Streamlit about classifying fraudulent companies using various classification models.

machine-learning plotly python random-forest scikit-learn streamlit-webapp

Last synced: 23 Jan 2025

https://github.com/aahnik/gdsc-ml-ds-bootcamp-2023

This repo contains files given by my seniors as well as assignments and final project done by me during the bootcamp.

data-science machine-learning ml numpy pandas python3 scikit-learn

Last synced: 13 Feb 2025

https://github.com/rs2416/Detecting_Social_Anxiety

This repository contains the full dataset and code needed to recreate the classification models and reproduce the results within this paper: https://formative.jmir.org/2021/10/e32656/

jupyter-notebook machine-learning python scikit-learn social-anxiety

Last synced: 14 Nov 2024

https://github.com/raythurman2386/gis-playground

GIS Playground is a comprehensive web-based GIS application that combines multiple data sources and provides advanced spatial data visualization and analysis capabilities. The application features real-time wildfire data integration, intelligent spatial data processing, and interactive mapping functionality.

flask gdal geopandas leaflet nltk scikit-learn

Last synced: 27 Jan 2025

https://github.com/harshita2234/breast-cancer-prediction

A machine learning project to predict breast cancer using logistic regression. This project includes data preprocessing, feature scaling, model training, and evaluation, based on a guided project from Coursera.

breast-cancer-prediction jupyter-notebook logistic-regression machine-learning matplotlib numpy pandas scikit-learn

Last synced: 30 Jan 2025

https://github.com/tomwassing/brane-project

Brane example project using the Scikit-learn and Matplotlib packages

brane branescript matplotlib scikit-learn

Last synced: 02 Feb 2025

https://github.com/canayter/unsupervised-machine-learning

Utilizing Python and unsupervised learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes.

k-means-clustering python scikit-learn unsupervised-machine-learning

Last synced: 09 Jan 2025

https://github.com/h-fuzzy-logic/python-finding-nsf-award-themes

Using NLP to find themes and concepts in NSF Awards

nltk pandas python scikit-learn

Last synced: 08 Feb 2025

https://github.com/spamfromaditya/drugs-consumption-prediction-model-eda-bagging-classifier

Drug consumption prediction models are like crystal balls for public health. By analyzing vast amounts of data, these models can identify individuals or communities at higher risk of drug use. They consider factors like demographics, social media activity, prescription history, and even economic indicators.

bagging-classifier machine-learning matplotlib numpy python scikit-learn

Last synced: 31 Dec 2024

https://github.com/francescopaolol/logisticregression

About predicting survival on the Titanic and get familiar with ML basics

jupyter-notebook kaggle logistic-regression machine-learning ml pandas scikit-learn

Last synced: 22 Dec 2024

https://github.com/francescopaolol/sentimentanalysis

About sentiment analysis on IMDB Dataset of 50K Movie Reviews

jupyter-notebook kaggle machine-learning ml pandas scikit-learn sentiment-analysis

Last synced: 22 Dec 2024

https://github.com/siam29/hybrid-feature-engineering-and-ensemble-learning

In this ML project, I proposed a methodology that provided an outperformed performance compared to another existing paper. For the comparison here focused mainly on F1, accuracy, AUC, and ROC score. This methodology provides a 99.96% accuracy score and 90.05% F1 score. 

feature-selection keras-tensorflow machine-learning matplotlib python scikit-learn

Last synced: 01 Feb 2025

https://github.com/francescopaolol/titaniccompetition

It's my first kaggle competition about predict survival on the Titanic and get familiar with ML basics

jupyter-notebook kaggle-competition machine-learning ml pandas scikit-learn

Last synced: 22 Dec 2024

https://github.com/jdavydovportfolio/careerpredictor

A project leveraging AI and Machine Learning (Logistic Regression) to predict graduate job placements. Includes data preprocessing, exploratory analysis, and predictive modeling.

artificial-intelligence exploratory-data-analysis jupyter-notebook linear-regression logistic-regression machine-learning machine-learning-algorithms machine-learning-models matplotlib ml numpy pandas pandas-dataframe predictive-modeling programming python scikit-learn

Last synced: 02 Feb 2025

https://github.com/vidhi1290/zomato-data-analysis

Zomato Data Analysis - Explore the world of Zomato restaurant data through Python and data analysis. Uncover trends and insights using Pandas for data manipulation and Matplotlib for visualization. Join us in this journey to reveal the hidden stories within the data!

data-analysis data-analysis-python data-science data-visualization dataprocessing machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn zomato-data-analysis

Last synced: 02 Feb 2025

https://github.com/francescopaolol/decisiontree

About classify iris plants into three species in this classic dataset

decision-tree-classifier jupyter-notebook kaggle machine-learning ml pandas scikit-learn

Last synced: 22 Dec 2024

https://github.com/vidhi1290/text-classification-model-with-attention-mechanism-nlp

This Python project utilizes PyTorch to perform text classification with an attention mechanism. Pre-trained GloVe embeddings are processed for word representation, and a custom attention model is trained on consumer complaint data to categorize complaints into product categories.🎯

attention-mechanism deeplearning machine-learning nlp nltk numpy pandas python pytorch scikit-learn text-classification tqdm

Last synced: 02 Feb 2025

https://github.com/kingabzpro/mlops-with-jenkins

From data ingestion to deploying the model using Jenkins.

classification fastapi jenkins mlops scikit-learn

Last synced: 13 Oct 2024

https://github.com/rexsimiloluwah/fastapi-ml-apps

Machine learning apps built with FastAPI

docker fastapi machine-learning python scikit-learn tensorflow

Last synced: 05 Feb 2025

https://github.com/francescopaolol/favoritatimeseriesforecasting

See: https://www.kaggle.com/competitions/store-sales-time-series-forecasting

jupyter-notebook kaggle-competition machine-learning pandas scikit-learn

Last synced: 22 Dec 2024

https://github.com/vectominist/mednlp

Mandarin Medical Dialogue Analysis with Pytorch.

dialog huggingface mandarin medical pytorch scikit-learn transformers

Last synced: 29 Jan 2025

https://github.com/nirmalyabag20/breast-cancer-prediction-using-machine-learning

This project leverages machine learning to classify breast cancer as malignant or benign based on tumor characteristics. By applying and evaluating multiple algorithms, the model achieves high accuracy, demonstrating the practical application of data-driven solutions in medical diagnostics.

logistic-regression matplotlib numpy pandas python scikit-learn seaborn

Last synced: 12 Feb 2025

https://github.com/kr1shnasomani/greendetect

Detection of plant diseases using CNN (ResNet50 architecture)

computer-vision deep-learning keras neural-network numpy opencv pandas scikit-learn tensorflow

Last synced: 12 Feb 2025

https://github.com/bistcuite/plainml

Painless Machine Learning Library for python based on scikit-learn

machine-learning ml plainml python scikit-learn

Last synced: 02 Feb 2025

https://github.com/ishutak/disease_prediction

An AI-powered disease prediction system that uses machine learning to predict diseases based on symptoms. The system employs an ensemble of models including Random Forest and Neural Networks to provide accurate predictions with confidence levels.

css3 htlm5 javascript jquery numpy pandas pytorch scikit-learn select2

Last synced: 12 Feb 2025

https://github.com/bacross/datamunger

python package for handling nan's and outliers

data data-frame datamunger knn nan outliers python scikit-learn

Last synced: 02 Feb 2025

https://github.com/nafisalawalidris/logistic-regression-model-for-breast-cancer-recurrence-prediction

Predicting Breast Cancer Recurrence - A logistic regression model using patient attributes to classify recurrence risk. Dataset analysis and model evaluation. Contributions welcome.

breast-cancer classification-model data-analysis data-science healthcare logistic-regression machine-learning python recurrence-prediction scikit-learn

Last synced: 23 Jan 2025

https://github.com/vidhi1290/hr_employee_prediction

"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.

data-exploration data-science data-visualization docker hr-employee-prediction hyperparameter-tuning machine-learning matplot model-building numpy pandas scikit-learn seaborn streamlit streamlit-webapp

Last synced: 02 Feb 2025

https://github.com/fohlen/stats-experiment

A tiny stats experiment with GENESIS data

matplotlib python3 scikit-learn

Last synced: 23 Jan 2025

https://github.com/udityamerit/all_mlpackages

The `all_MLpackage` is a Python tool for breast cancer detection using scikit-learn's machine learning algorithms. It automates model training, generates accuracy comparisons, and helps identify the best-performing algorithm for diagnosis.

classification knn-algorithm logistic-regression machine-learning numpy pandas scikit-learn svm-model

Last synced: 31 Oct 2024

https://github.com/troublem1/mle

MultiLabel-Transformer(MLE) is an extended version of a LabelEncoder, such that, it encodes multiple categorical columns to numeric in any workflow or pipeline

packages python3 scikit-learn sklearn

Last synced: 29 Jan 2025

https://github.com/ishanoshada/matplot3dex

A Matplotlib 3D Extension package for enhanced data visualization

data data-science matplotlib python-packages scikit-learn

Last synced: 29 Jan 2025

https://github.com/ax-va/numpy-pandas-matplotlib-scikit-learn-vanderplas-2023

These examples provide an introduction to Data Science and classic Machine Learning using NumPy, Pandas, Matplotlib, and scikit-learn. They are taken, with some changes, from the book "Python Data Science Handbook: Essential Tools for Working with Data", Second Edition, written by Jake VanderPlas and published by O'Reilly Media in 2023.

ax-va classic-machine-learning data-science machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 18 Nov 2024

https://github.com/nemeslaszlo/heart-disease

Heart disease classification project with different models (LogisticRegression, KNeighboursClassifier, RandomForestClassifier) and detailed reports.

classification knearest-neighbor-classifier logistic-regression mathplotlib numpy pandas randomforest-classification scikit-learn seaborn

Last synced: 29 Jan 2025

https://github.com/mohammadreza-mohammadi94/data-analysis-and-machine-learning-projects

A comprehensive collection of data analysis and machine learning projects, showcasing techniques and models for various data challenges. Dive in to explore code examples, analyses, and machine learning workflows.

data-analysis data-science dataframes exploratory-data-analysis pandas python scikit-learn visualization

Last synced: 07 Nov 2024

https://github.com/guoshijiang/scikit-learn

带你一起学习scikit-learn

nlp-machine-learning scikit-learn

Last synced: 24 Jan 2025

https://github.com/alisonmitchell/boston-housing

Investigation of the Boston housing dataset to evaluate, train and test a regression model to predict house prices.

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

Last synced: 15 Jan 2025

https://github.com/nemeslaszlo/sale-price-of-bulldozers

The goal of predicting the sale price of bulldozers. How well can we predict the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for? (Archive kaggle competition)

matplotlib numpy pandas random-forest-regressor regression scikit-learn seaborn

Last synced: 29 Jan 2025

https://github.com/docsallover/spam-detection

Building a Spam Filter with Python: Using Machine Learning to Combat Spam

datascience flask jinja2 machine-learning numpy numpy-library pandas pandas-python python python3 scikit-learn

Last synced: 29 Jan 2025

https://github.com/catlikeflyer/rsp-recognition

A computer vision project to recognize thumbs up

machine-learning mediapipe-hands python scikit-learn

Last synced: 21 Jan 2025

https://github.com/mehuaniket/blog-classifier

blog classifier with scikit random forest.

bag-of-words blog-classifier python scikit-learn

Last synced: 04 Jan 2025

https://github.com/antim21/spamsense-ai

Classifying emails into Spam or Not Spam categories using Machine Learning techniques

machine-learning nlp python scikit-learn

Last synced: 10 Feb 2025

https://github.com/nirmalyabag20/diabetes-prediction-using-machine-learning

This project focuses on predicting diabetes using machine learning algorithms based on health metrics like glucose levels, blood pressure, and BMI. By comparing different models, the goal is to identify the most accurate approach for early diabetes detection, showcasing the potential of machine learning in healthcare.

decision-tree-classifier jupyter-notebook kneighborsclassifier logistic-regression matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn svc

Last synced: 11 Feb 2025

https://github.com/pr38/tensorbspline

A scikit-learn compatible implementation of Polynomial Spline/B-Spline as well as a Multidimensional/Tensor spline variation.

basis-expansion feature-engineering feature-extraction machine-learning scikit-learn

Last synced: 04 Jan 2025

https://github.com/sethios-notebook/__ia_learnig__

Formation Python spéciale Machine Learning francais. Apprendre Python en 30 fichiers qui contiennent une formation sur Numpy, Pandas, Matplotlib, Scipy, Sklearn, Seaborn, H5py, et bien d'autres techniques. Python est le langage d'excellence pour le machine learning, le deep learning, et la data science.

iac machine-learning matplotlib numpy python scikit-learn

Last synced: 13 Feb 2025

https://github.com/alexsomai/machine-learning-getting-started

Dummy examples and experiments to get started with Machine Learning

artificial-intelligence deep-learning machine-learning python scikit-learn

Last synced: 04 Jan 2025

https://github.com/3rd-son/knn-breast-cancer-prediction-model-

A breast cancer prediction model using KNN with an accuracy of 96%

jupyter-notebook knn-classifier matplotlib numpy pandas python scikit-learn scipy search

Last synced: 28 Dec 2024

https://github.com/akhil888binoy/intelligent-supplychain-management-system

Blockchain-powered supply chain management system with ML-driven sales prediction. Streamlines supplier-employee transactions and inventory management. Built with MERN stack, Solidity, and Flask.

blockchain decentralized-payments ethereum express flask foundry hackathon-project inventory-management machine-learning mern-stack mongodb nodejs python react sales-prediction scikit-learn smart-contracts solidity supply-chain-management wagmi

Last synced: 09 Feb 2025

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: 28 Jan 2025

scikit-learn Awesome Lists
awesome-python-data-science 379 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 68 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