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An open API service indexing awesome lists of open source software.

scikit-learn

scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.

https://github.com/colinwu0403/heartbpmusic

Music discovery platform that recommends you a song based on your heart's BPM and your mood using Machine Learning.

django neurokit2 scikit-learn spotify-web-api vuejs

Last synced: 05 May 2026

https://github.com/singhkunwardeep/twitter_sentiment_analysis

A machine learning project to classify Twitter sentiment into positive, negative, categories using Logistic Regression and TF-IDF Vectorization. This project involves data preprocessing, feature extraction, model training, and evaluation of the sentiment of tweets. Built with Python, NLTK, and Scikit-learn.

logistic-regression nltk-python pandas-dataframe python3 scikit-learn tfidf-vectorizer

Last synced: 05 May 2026

https://github.com/rahimizadeh/prediction-api-with-flask-and-mlflow

An end-to-end machine learning project demonstrating model lifecycle management with MLflow and production deployment using Flask.

flask machine-learning mlflow mlops-workflow python random-forest-regression rest-api scikit-learn

Last synced: 13 Apr 2026

https://github.com/akashshnkr/multi-disease-prediction

Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.

logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm

Last synced: 02 Jan 2026

https://github.com/grachale/predict_pass_exam

Creating AdaBoost classifier with decision trees for predicting whether a student will pass or fail an exam (classification) based on the number of study hours and their scores in the previous exam.

adaboost cross-validation decision-tree jupyter-notebook matplotlib python scikit-learn seaborn

Last synced: 06 May 2026

https://github.com/kostasereksonas/ids_test

Code for intrusion detection system based on "Intrusion Detection System Using Machine Learning Algorithms" tutorial on Geeksforgeeks and Intrusion Detection on NSL KDD Github repository.

ids intrusion-detection intrusion-detection-system nsl-kdd-dataset numpy pandas python scikit-learn tensorflow

Last synced: 08 Apr 2026

https://github.com/evanmarshall-dev/evanmarshall-tech

Professional IT services platform featuring serverless AWS infrastructure, ML-powered service recommendations, and automated CI/CD deployment. Built to showcase full-stack development, cloud architecture, and machine learning engineering skills.

api-gateway aws ci-cd cloud-computing cloudfront devops full-stack github-actions infrastructure-as-code lambda machine-learning mlops nextjs portfolio python react s3 scikit-learn serverless terraform

Last synced: 13 Apr 2026

https://github.com/lasithaamarasinghe/stock-market-price-prediction

This ML model predicts the price of the S&P500 Stock Market Index using RandomForestClassifier

jupyter-notebook machine-learning pandas python random-forest-classifier scikit-learn sp500 stock-market-price-prediction yfinance

Last synced: 10 Apr 2026

https://github.com/urme-b/multimodal-multisensor

Longitudinal neurophysiological study of adult psychometric testing.

keras matplotlib numpy pandas python pytorch scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/theanujsinha01/rainfall-prediction-using-machine-learning

This project predicts whether it will rain or not based on weather features like pressure, humidity, dew point, cloud cover, sunshine, wind direction, and wind speed. We use a Random Forest Classifier, a popular ML algorithm, trained on historical weather data. The model learns patterns and helps us forecast rain chances.

classification data-analysis eda machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn supervised-learning

Last synced: 11 Apr 2026

https://github.com/gokulgowthams/smart-premium

An Interactive Premium Amount Detection for user which accurately predicts the required premium amount for a default loan by using series of questions that satisfies the criteria in Streamlit Application

data-preprocessing feature-engineering git github mlflow model-deployment numpy pandas python scikit-learn streamlit xgboost

Last synced: 11 Apr 2026

https://github.com/srilaasya/handwriting-recognition-using-k-means

Used K-means clustering and scikit-learn to cluster images of handwritten digits.

handwriting-recognition k-means python scikit-learn

Last synced: 13 Apr 2026

https://github.com/therayyanshariff/cinereview

A Machine Learning web app for sentiment analysis, using a Scikit-learn NLP model with a custom-styled Streamlit UI.

machine-learning nlp python scikit-learn sentiment-analysis streamlit

Last synced: 04 May 2026

https://github.com/jofaval/iris-flowers

Multilabel Classification of the famous Iris Flowers Dataset from Ronald Aylmer Fisher in 1936

classification data-analysis data-science data-visualization google-colab iris-flowers kaggle machine-learning python scikit-learn xgboost

Last synced: 05 Apr 2026

https://github.com/rakibhhridoy/appliedmachinelearninghousing-regression

Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.

deep-learning housing-market housing-prices machine-learning numpy pandas python real-estate regression scikit-learn

Last synced: 05 Apr 2026

https://github.com/prajakta1321/authencheck

Amdocs Gen AI Graduate Hackathon 2024-25- A comprehensive fact-checking and misinformation detection system that leverages cutting-edge AI models and multiple news sources to verify information circulating on social media

api bert-fine-tuning flask-application matplotlib ngrok-server nlp nlp-machine-learning numpy pandas python3 scikit-learn seaborn wandb

Last synced: 05 Apr 2026

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

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

machine-learning matplotlib model numpy python scikit-learn

Last synced: 01 Apr 2025

https://github.com/vamsi0333/ai-sentiment-cicd-project

End-to-end CI/CD deployment of an AI-powered Sentiment Analysis API using FastAPI, Docker, Kubernetes, Terraform, and GitHub Actions. Demonstrates complete MLOps + DevOps workflow.

ai cicd devops docker fastapi github-actions kubernetes mlops scikit-learn terraform

Last synced: 12 Apr 2026

https://github.com/labex-labs/scikit-learn-for-beginners

This comprehensive course covers the fundamental concepts and practical techniques of Scikit-learn, the essential machine learning library in Python. Learn to build, train, and evaluate machine learning models using various algorithms and preprocessing techniques.

algorithms beginner-friendly classification clustering course data-science feature-engineering hands-on labex labs machine-learning model-evaluation preprocessing programming python python-programming regression scikit-learn supervised-learning unsupervised-learning

Last synced: 14 May 2026

https://github.com/rosa-lpz/machine-learning-zoomcamp-2025

Machine Learning Zoomcamp 2025 from DataTalksClub. Based on repository: https://github.com/DataTalksClub/machine-learning-zoomcamp/tree/master

aws deep-learning docker flask kserve kubernetes machine-learning machine-learning-algorithms machine-learning-projects metrics-visualization neural-networks numpy pandas python scikit-learn tensorflow xgboost

Last synced: 06 Apr 2026

https://github.com/vipulbunny/house-price-prediction

House Price Prediction is a machine learning project that analyzes real estate data to predict house prices based on various features like location, size, and amenities. It involves data preprocessing, exploratory data analysis (EDA), feature engineering, and model training using regression algorithms to provide accurate price estimates. 🚀📊🏡

ai-in-real-estate data-science data-visualization eda feature-engineering house-price-prediction housing-market-analysis machine-learning predictive-modeling python real-estate-analytics regression-models scikit-learn

Last synced: 03 May 2026

https://github.com/leabrodyheine/ml-kaggle-cirrhosis-data

This project showcases skills in machine learning, data preprocessing, and model evaluation using Python libraries such as scikit-learn, XGBoost, and Optuna. It involves implementing various machine learning models, handling imbalanced data, and employing imputation techniques to enhance model performance for predicting cirrhosis outcomes.

data-analysis data-pre imbalanced-data imputation machine-learning optuna pipeline scikit-learn xgboost

Last synced: 14 May 2026

https://github.com/rihua-tech/iris-ml-end-to-end

End-to-end Iris classification in Python: EDA → stratified CV → model comparison → SVM grid search → hold-out test → model persistence.

classification eda machine-learning python scikit-learn svm

Last synced: 14 May 2026

https://github.com/vijay-saravanan/advanced-human-life-detection

Portable, real-time embedded system using mmWave radar, microphone, and accelerometer sensor fusion with advanced signal processing and machine learning to detect and locate humans trapped under debris. Features rapid alerts via LCD, LED, buzzer, and is designed for Raspberry Pi deployment in disaster scenarios.

disaster-recovery dwt fft landslide machine-learning random-forest-classifier scikit-learn sensor-fusion sensors-data-collection signal-processing vital-signs

Last synced: 14 May 2026

https://github.com/omerdduran/riskfactor-heart

This ML project predicts heart disease using logistic regression on the Cleveland Heart Disease UCI dataset, featuring advanced preprocessing and medical feature engineering, achieving 82.1% accuracy with strong cross-validation.

cardiovascular-health data-science data-visualization heart-disease-prediction logistic-regression machine-learning medical-ai scikit-learn

Last synced: 14 May 2026

https://github.com/aasmirnov-webdev/data_science_projects

Сборник всех выполненных учебных проектов курса Яндекс.Практикум "Специалист по Data Science".

bert catboost data-science database lgbm mashine-learning matplotlib numpy pandas python pytorch scikit-learn scipy seaborn sql xgboost

Last synced: 06 Apr 2026

https://github.com/thchilly/mlds102_py_exercises

Complete exercise sets from MLDS Practical Data Science and Applications course

data-science matplotlib numpy pandas python scikit-learn scipy tensorflow

Last synced: 06 Apr 2026

https://github.com/cbjuan/paper-ieeeaccess-2017

Jupyter notebooks developed to support the research presented in the paper "Enabling adaptivity in web forms based on user characteristics detection through A/B testing and Machine Learning"

jupyter jupyter-notebook machine-learning pandas paper research-paper scikit-learn

Last synced: 10 May 2026

https://github.com/dadvaiahpavan/ai-data-scientist-

AI-powered tool for dataset analysis, featuring data preprocessing, classification, regression, anomaly detection, and text analysis. Built with scikit-learn, pandas, and Plotly for visualization. Includes an interactive Streamlit web interface for real-time data analysis.

ai anomaly-detection classification data-analysis data-science machine-learning panda plotu regression scikit-learn sentiment-analysis streamlit

Last synced: 03 May 2026

https://github.com/priyanshul28/ml_classification_eda_parkinsonsdisease

A guided Machine Learning Classification exercise on the Parkinson's Disease dataset demonstrating the use of Logistic Regression, Neural Network Classifiers, Decision Trees, Random Forests and XGBoost algorithms, as well as Data Preprocessing and Exploratory Data Analysis.

classification machine-learning pandas python scikit-learn statistics

Last synced: 16 Apr 2026

https://github.com/sebastianquintanam/arbol_decision

Árbol de decisión en Python para recomendar la mejor cuenta de ahorro según el perfil del usuario. Incluye dataset sintético, entrenamiento con scikit-learn y visualización del modelo.

data-science decision-tree finance machine-learning python scikit-learn

Last synced: 15 May 2026

https://github.com/idaraabasiudoh/svm_cell_classification

This repository contains code for classifying cell samples using Support Vector Machine (SVM) with Scikit-learn.

machine-learning python3 scikit-learn svm-classifier

Last synced: 19 Jan 2026

https://github.com/apfirebolt/titanic_survival_prediction

Titanic survival prediction GUI application using scikit-learn and PyQT5

jupyter-notebook pandas prediction pyqt5 python scikit-learn titanic-kaggle

Last synced: 06 Apr 2026

https://github.com/bagusperdanay7/absa-with-bilstm-undergraduate-thesis

My undergraduate thesis program, Aspect-Based Sentiment Analysis Towards Matket Place Application Review Using Bidirectional Long Short-Term Memory used Python, Keras and Tensorflow

ai aspect-based-sentiment-analysis bilstm deep-learning gensim imbalanced-learning ipython-notebook keras machine-learning matplotlib natural-language-processing nltk numpy pandas python scikit-learn seaborn tensorflow

Last synced: 11 Apr 2026

https://github.com/gwerbin/sklearn-gensim

Scikit-learn-compatible adapters for Gensim

machine-learning natural-language-processing python python3 scikit-learn

Last synced: 29 Apr 2026

https://github.com/avtorgenii/cocktails-analysis

Preprocession, augmentation, EDA and clustering of cocktails dataset from TheCocktailDB. Recruiting task for SolVro science club.

matplotlib pandas scikit-learn

Last synced: 11 May 2026

https://github.com/gilevatanya/yandex-practicum-projects

Кейсы решенные на курсах Яндекс Практикума.

bert bootstrap catboost keras lightgbm matplotlib nltk numpy pandas postgresql python pytorch scikit-learn scipy seaborn sql

Last synced: 06 Jan 2026

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: 15 May 2026

https://github.com/seznam/lightning-text

Adapter for using FastText library with scikit-learn and optuna.

fasttext optuna scikit-learn

Last synced: 16 Feb 2026

https://github.com/t-lak/decision-tree

This project implements a basic Decision Tree classifier. It supports visualizing the tree and calculating performance metrics (accuracy, precision, F1-score, and recall).

decision-trees graphviz metrics numpy python3 scikit-learn

Last synced: 07 May 2026

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: 06 Apr 2026

https://github.com/hamza-ali0237/yolov11-image-segmentation-and-weight-estimation

Combining YOLOv11's Image Segmentation capabilities with a Regressor to segment fruits and also estimate their weight In grams.

deeplearning imagesegmentation machine-learning opencv python pytorch regression scikit-learn yolo yolov11

Last synced: 06 Apr 2026

https://github.com/qinhanmin2014/sklearn-svm-guide

Rapidly obtain acceptable results using SVM (based on scikit-learn)

machine-learning scikit-learn svm

Last synced: 03 Apr 2025

https://github.com/asuquoaa/predicting_viewer_engagement_with_educational_videos

This project uses machine learning to predict video engagement based on features such as transcript complexity, speaker speed, and silence periods. By understanding the factors influencing engagement, we can improve content recommendations and educational experiences.

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

Last synced: 15 May 2026

https://github.com/indhra/hands_on_machine_learning

Core ML topics: short summaries , code snippets, Interview prep

keras machine-learning python scikit-learn tensorflow2

Last synced: 06 Apr 2026

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

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

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

Last synced: 09 Apr 2026

https://github.com/abdullahashfaqvirk/sms-spam-detection

A machine learning application designed to classify SMS messages as spam or non-spam, offering real-time analysis to identify potentially harmful content.

css3 docker flask html5 javascript matplotlib nltk numpy pandas python scikit-learn seaborn tailwindcss xgboost

Last synced: 02 Apr 2026

https://github.com/danielstankw/car_classification_and_regression

Regression & Classification model using a car data. Involves EDA, feature engineering, pipelines and more.

classification learning machine regression scikit-learn tensorflow trim

Last synced: 29 Apr 2026

https://github.com/rahulb813/mvscr

An alternative movie recommendation system for the CineMatchSM with better predictions. Trained with a Kaggle dataset of over 450000+ entries.

gridsearchcv knn python scikit-learn scipy-sparse svd tensorflow xgboost

Last synced: 07 May 2026

https://github.com/souravxbera/credit-card-approval-predictor

End-to-end Machine Learning project to predict credit card approval decisions using real-world financial features. Includes EDA, model training, and deployment-ready architecture

credit-card-approval-prediction data-analysis machine-learning python scikit-learn streamlit

Last synced: 15 May 2026

https://github.com/ssreeramj/hackerearth-exhibit-art

This is my solution to the HackerEarth Exhibit Art Machine Learning Challenge

gradient-boosting machine-learning pandas regression scikit-learn

Last synced: 20 Apr 2026

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 Mar 2025

https://github.com/jtorrescarbajal/ev-charger-accessibility-analysis

Capstone project analyzing EV charger sufficiency and equity across ZIP codes on the U.S. West Coast using Python and public datasets.

jupyter-notebook python scikit-learn wilcoxon-signed-rank

Last synced: 18 Apr 2026

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

Learning tradicional machine learning with scikit-learn.

numpy pandas python scikit-learn seaborn

Last synced: 06 Apr 2026

https://github.com/leticiamilan/formacao-python-developer-dio

Formação Python Developer - Digital Innovation One

django flask pandas pymongo python scikit-learn sqlalchemy sqlite

Last synced: 06 Apr 2026

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: 23 Jun 2026

https://github.com/hariprasath-v/zindi_umojahack-india-income-prediction-challenge

Create a machine learning model to predict whether an individual earns above 50,000 in a specific currency or not.

catboost-classifier classification exploratory-data-analysis f1-score matplotlib numpy pandas python scikit-learn seaborn shap zindi

Last synced: 13 Apr 2026

https://github.com/hariprasath-v/hackerearth_get-a-room-ml-hackathon

Build a Machine Learning model to identify the habitability score of the property based on the property's basic information and location-based information.

exploratory-data-analysis machine-learning numpy pandas pycaret python randomforestregressor regression scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/lefteris-souflas/ai-fashion

"DressMeUp" project utilizes fashion images and color combinations to achieve image classification for clothing combinations. Algorithms include SGD (SVM), Passive Aggressive Classifier, ResNet50 CNN, and EfficientNetV2-S CNN with K-Means for color analysis. Achieved accuracy exceeds 90%. Built with Python, Scikit-Learn, TensorFlow, and Streamlit.

business-idea cnn-classification efficientnetv2 image-classification k-means-clustering machine-learning outfit-matching outfit-planner passive-aggressive-classifier python3 resnet-50 scikit-learn sgd-classifier sqlite3 streamlit tensorflow2

Last synced: 02 May 2026

https://github.com/sauravokos/deep-learning

Repository on private project concerning Deep Learning through multilevel neural networks

keras numpy pillow python python-3-5 scikit-image scikit-learn scipy tensorflow tensorflow-examples tkinter tkinter-graphic-interface

Last synced: 02 Apr 2026

https://github.com/leftcoastnerdgirl/deep_learning

This project introduces neural networks, deep learning, and Tensorflow.

deep-learning jupyter-notebook neural-networks pandas-python scikit-learn tensorflow

Last synced: 04 May 2026

https://github.com/ramanpreet6262/ml_internity

Repository of code implimentations of various machine learning algorithms in my Internity Internship.

matplotlib numpy pandas python scikit-learn

Last synced: 06 Apr 2026

https://github.com/hrolive/deep-learning-nanodegree

As one of the top 3% students from the first phase, "PyTorch Scholarship Challenge" by Facebook AI, I have earned a full scholarship to Udacity’s Deep Learning Nanodegree program

api-gateway aws aws-lambda aws-sagemaker computer-vision convolutional-neural-networks deep-learning deployment machine-learning natural-language-processing numpy pandas python pytorch scikit-learn

Last synced: 12 Apr 2026

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

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

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

Last synced: 12 Apr 2026

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: 15 May 2026

https://github.com/j-nobull/noble_ana-500

Apply Advbanced Python programming to data science problems

dash machine-learning-algorithms neural-network numpy pandas plotly scikit-learn tensorflow

Last synced: 03 Mar 2025

https://github.com/alan-oliveir/cnn_digitos_manuscritos

Trabalho final para disciplina Redes Neurais(2023/1) - Rede Neural Convolucional para identificação de dígitos manuscritos.

convolutional-neural-networks jupyter-notebook scikit-learn

Last synced: 08 May 2026

https://github.com/joekakone/prostate-cancer-prediction

Predict Prostate Cancer Diagnosis using ML

machine-learning scikit-learn

Last synced: 15 May 2026

https://github.com/andriamahay11master/machinelearning

This project is created to practice supervised ML using the libraries existing in Python

linear-regression multiple-linear-regression python scikit-learn scikitlearn-machine-learning

Last synced: 15 May 2026

https://github.com/aml-hassan-abd-el-hamid/divorce-analysis-and-prediction

Exploratory data analysis and modelling for a dataset that contains questions that couples who got divorced and stayed together answered using Python, pandas, pandas profiling and Scikit learn.

machine-learning pandas-profiling scikit-learn

Last synced: 03 Apr 2025

https://github.com/nickklos10/Compressive-Strenght-Prediction

This project predicts concrete compressive strength using a neural network regression model built with Keras.

jupyter-notebook keras matplotlib numpy pandas python scikit-learn

Last synced: 12 Mar 2025

https://github.com/mindlessmuse666/features-scaling

Проект по масштабированию признаков датасета Iris с использованием Python, Pandas, Scikit-learn, Seaborn и Plotly. Включает визуализацию данных, применение различных методов масштабирования и оценку производительности модели логистической регрессии.

data-scaling data-visualization feature-engineering iris-dataset machine-learning pandas plotly python scikit-learn seaborn student-project

Last synced: 16 Jun 2025

https://github.com/mindlessmuse666/iris-knn

Проект демонстрирует применение алгоритма k-ближайших соседей (KNN) для классификации набора данных Iris. Включает загрузку данных, обучение модели, оценку производительности и визуализацию результатов с использованием библиотек Pandas, Scikit-learn, Matplotlib, Seaborn и Plotly.

algorithm classification data-analysis data-visualization iris-dataset knn lazy-learning machine-learning python scikit-learn

Last synced: 17 Aug 2025

https://github.com/boomerspine/selflearning_chatbot

Self learning chatbot using python

python scikit-learn

Last synced: 10 May 2026

https://github.com/henriquepmartins/ml-number-prediction

Number prediction using Logistic Regression

logistic-regression machine-learning scikit-learn

Last synced: 15 May 2026

https://github.com/bilalm04/email-spam-classifier

A machine learning project that classifies emails as spam or not spam using Logistic Regression, with a deployable Flask API for real-time classification.

api flask jupyter-notebook machine-learning matplotlib nlp numpy pandas python scikit-learn

Last synced: 06 Mar 2026

https://github.com/vishal-038/healthcare

The AI Healthcare System is a web-based application that integrates machine learning with Django to assist users in disease prediction, booking appointments with doctors, purchasing medicines, and managing lab tests.

django django-rest-framework pandas scikit-learn sqllite

Last synced: 05 May 2026

https://github.com/mohd-faizy/preprocess_ml

This repository hosts Python code that utilizes the Scikit-learn preprocessing API for data preprocessing. The code presents a comprehensive range of tools that handle missing data, scale data, encode categorical variables, and perform other functions.

data-science feature-engineering feature-engineering-algorithm feature-extraction feature-selection machine-learning outlier-detection preprocessing-data preprocessor scikit-learn

Last synced: 16 May 2026

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: 02 Feb 2026

scikit-learn Awesome Lists
awesome-python-data-science 382 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 55 Machine Learning 43 General 35 Data Manipulation 29 Deep Learning 28 Model Explanation 26 Reinforcement Learning 24 Optimization 22 Visualization 18 Graph Machine Learning 17 Feature Engineering 16 Time Series 16 Probabilistic Methods 13 Computer Vision 12 Computer Audition 9 Computations 9 Natural Language Processing 9 Deployment 8 Distributed Computing 7 Experimentation 7