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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/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/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/eljandoubi/genre_classification

Create an ML pipeline for Genre Classification using MLflow.

hydra machine-learning mlflow numpy pandas pandas-profiling pytest scikit-learn scipy wandb

Last synced: 25 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/eljandoubi/disasterresponsepipeline

Project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time basis.

flask nltk numpy pandas plotly scikit-learn scipy sqlalchemy

Last synced: 25 Nov 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/eljandoubi/deploy-ml

Deploying a ML Model to Cloud Application Platform with FastAPI

ci-cd fastapi github-actions gunicorn pandas pytest render scikit-learn uvicorn

Last synced: 25 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

https://github.com/mpoojithavigneswari/bangalore-house-price-prediction

This project involves creating a website that predicts Bangalore house prices with 94.65% accuracy using a machine learning algorithm.

data-analysis data-science flask-server machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 15 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/alphacrypto246/grape-quality-prediction

The Grape Quality Prediction project uses machine learning to predict the quality of grapes based on chemical properties like acidity, sugar content, and alcohol levels. It applies regression models to forecast the quality score, helping in wine production and quality assessment.

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

Last synced: 07 Dec 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/enayar478/nomad_machine_learning_dash_app

An interactive Machine Learning app built with Dash and Plotly, developed as part of the Data Analytics Bootcamp at Le Wagon Bordeaux. It allows users to visualize data, make real-time predictions, and explore various model insights.

analytics cachetools dash dashboard-application data-analysis data-science deployment gunicorn interactive-visualization machine-learning pandas plotly plotly-dash prediction-model python python3 render scikit-learn web-application

Last synced: 21 Nov 2024

https://github.com/skypse/santander-coders-data_science-course

Curso de Data Science, proposto pelo Satander, utilizando Python!

jupyter-notebook numpy pandas-python python scikit-learn

Last synced: 15 Nov 2024

https://github.com/s0fft/learning-lab

Code Notes & Test-Learn // Micro Pet-Projects: Python / Asynchrony / FastAPI / Django-Tastypie / Parsing / SQL / Docker / DS / ML / etc.

asynchrony data-science django docker fastapi jupyter-lab jupyter-notebook mashine-learning matplotlib notes numpy pandas parsing python3 scikit-learn seaborn sql sqlalchemy tastypie telegram-bot

Last synced: 15 Nov 2024

https://github.com/atharvapathak/size_estimator_project

The Size Estimator project in Python aims to provide a tool for estimating the size of objects in images or videos. Using computer vision techniques, the project analyzes the input media, detects objects of interest, and provides an estimation of their size based on known reference points or objects.

cicd cnn opencv python pytorch rnn scikit-learn sql tensorflow

Last synced: 15 Nov 2024

https://github.com/netcodez/climate-prediction-pipeline

Predicting London's climate using machine learning techniques. This project aims to forecast mean temperature in Celsius (°C) using various regression models and logging experiments with MLflow

huggingface machine-learning mlflow mlflow-tracking mlflow-tracking-server mlops python scikit-learn streamlit

Last synced: 15 Nov 2024

https://github.com/agnivchtj/ann

Develop an Artificial Neural Network that can classify inputs based on a number of features

backpropagation-algorithm jupyter-notebooks python scikit-learn

Last synced: 21 Nov 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/ejw-data/proj-food-inspections

Analyzing Chicago Food Inspection data for interesting insights by combining multiple data resources and performing feature engineering.

decision-trees pandas preprocessing python scikit-learn

Last synced: 21 Nov 2024

https://github.com/lexxai/goit_python_ds_hw_04

Модуль 4. Класифікація та оцінка роботи моделі. Лінійна регресія: перенавчання та регуляризація

lasso-regression linear-regression numpy pandas python red regression ridge-regression scikit-learn

Last synced: 24 Nov 2024

https://github.com/ejw-data/ml-classification-exoplanet

Classification of planets identified by Kepler telescope using multiple models and tuning using GridSearchCV

classification python scikit-learn

Last synced: 21 Nov 2024

https://github.com/lexxai/goit_python_ds_hw_03

Модуль 3. Класичне машинне навчання. Перенавчання. Лінійна регресія. LaTeX формули.

latex linear-regression matplotlib numpy pandas python scikit-learn

Last synced: 24 Nov 2024

https://github.com/jihoonerd/restricted-discriminant-analysis

RDA implementation compatible with Scikit-learn API

discriminant-analysis rda scikit-learn

Last synced: 15 Nov 2024

https://github.com/lexxai/goit_python_ds_hw_05

Метод опорних векторів -Support Vector Machine, SVM. Дерева рішень - RandomForestClassifier, XGBClassifier

classification numpy pandas python random-forest-classifier reporting scikit-learn svm-classifier svm-model xgbclassifier

Last synced: 24 Nov 2024

https://github.com/ejw-data/ml-classification-grants

Compares several machine learning classification models including a neural network to determine whether to approve or reject a grant applicant

classification neural-network python scikit-learn

Last synced: 21 Nov 2024

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

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

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

Last synced: 21 Nov 2024

https://github.com/lexxai/goit_python_ds_hw_06

Модуль 6. Навчання без вчителя.  Кластерізація. KMeans. Principal Component Analysis

dbscan-clustering hdbscan-clustering kmeans kmeans-clustering opentsne optics-clustering pca python scikit-learn tsne

Last synced: 24 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/epomatti/python-machine-learning

Simple examples of ML using Python

machine-learning python scikit-learn

Last synced: 17 Nov 2024

https://github.com/alisonmitchell/titanic

Exploration of a subset of the Titanic passenger manifest to create a predictive classification model to determine which passengers were more likely to survive.

deep-learning keras machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn tensorflow

Last synced: 15 Nov 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/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: 22 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/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/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/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/joewlos/fantasy_football_monte_carlo_draft_simulator

Monte Carlo Fantasy Football Draft Simulator Featuring Pydantic

fantasy-football monte-carlo pydantic python scikit-learn

Last synced: 15 Nov 2024

https://github.com/codejsha/machine-learning-examples

Examples of machine learning using scikit-learn

machine-learning scikit-learn

Last synced: 15 Dec 2024

https://github.com/kosmoswerner/scikitlearn.net

C# bindings for Scikit-Learn (WIP 🏗)

machine-learning scikit scikit-learn sklearn

Last synced: 15 Nov 2024

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: 21 Nov 2024

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

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

matplotlib-pyplot pandas python scikit-learn seaborn

Last synced: 20 Dec 2024

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

Binary classficiation using MLP & Random Forest

ml mlp random-forest scikit-learn

Last synced: 21 Nov 2024

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: 21 Nov 2024

https://github.com/gititsid/visaverdict

A ML project to predict possibility of US Visa approval

classification python3 random-forest-classifier scikit-learn

Last synced: 21 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/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/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: 21 Nov 2024

https://github.com/jatin-mehra119/roe-prediction-modeling

A Web-APP for predicting Return of Equity using Machine learning model.

data-analysis data-science forecasting machine-learning regression-models scikit-learn

Last synced: 16 Nov 2024

https://github.com/vatshayan/pokemon-analysis

Visualization, Analysis & Predicting the accuracy of finding Pokemon power, attack & speed through Machine Learning

artificial-intelligence data data-analysis data-science data-visualization dataset machine-learning machine-learning-algorithms pokemon scikit-learn

Last synced: 15 Nov 2024

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

aiplayground 人工智能学习乐园

ai maching-learning scikit-learn

Last synced: 15 Nov 2024

https://github.com/mohammedhaq/safestream

SafeStream is a machine learning project that utilizes logistic regression to predict the potability of water. By analyzing various water quality parameters, SafeStream helps in determining whether a water source is safe for consumption. This project leverages Python, PyTorch, and scikit-learn to build, train, and evaluate the predictive model.

logistic-regression machine-learning python pytorch scikit-learn

Last synced: 07 Dec 2024

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

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

arima lstm matplotlib pandas python scikit-learn

Last synced: 20 Dec 2024

https://github.com/javi-cc/python-ml-portcanto

Portcanto és un projecte de simulació d'un trajecte en bicicleta. S'ha definit 4 tipus de ciclistes que es diferencien en el temps que tarda a fer el trajecte. L'objectiu és descobrir els 4 patrons amb l'algoritme de clustering KMeans.

clustering docker docker-compose kmeans machine-learning mlfow pydoc pylint python scikit-learn testing venv

Last synced: 07 Dec 2024

https://github.com/daniel1kp/diamond-price-predictor

💎Diamond Price Predictor is an user-friendly web application that simplifies the analysis and prediction of diamond prices.

altair pandas python scikit-learn streamlit

Last synced: 15 Nov 2024

https://github.com/andrewjmack/cryptoclustering

The purpose of this project is to utilize knowledge of Python and unsupervised learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes. Methods for analysis include K-Means clustering and dimensional reduction through Principal Component Analysis ("PCA").

jupyter-notebook pandas python scikit-learn

Last synced: 14 Nov 2024

https://github.com/andrewjmack/credit-risk-classification

Supervised learning model trained and evaluated on loan risk for potential use in the prediction of the creditworthiness of an applicant

banking loan-prediction-analysis machine-learning pandas python scikit-learn supervised-learning

Last synced: 14 Nov 2024

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: 29 Nov 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/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/das-amlan/delay-prediction-in-urban-mobility-networks

Predicting delays in Urban mobility netwrok using different ML algorithms.

delay-prediction gradient-boosting machine-learning python r scikit-learn

Last synced: 14 Nov 2024

https://github.com/iamwatchdogs/cardiovascular-risk-prediction

This mini-project uses machine learning algorithms to predict possible risks of heart disease by analyzing given data.

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

Last synced: 14 Nov 2024

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

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

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

Last synced: 06 Dec 2024

https://github.com/swat1563/recommendation-system

This repository features a recommendation system and analytics engine using datasets on users, organizations, contents, contacts, events, and recommendations. It includes data preprocessing, building a recommendation system, and creating visual reports with Power BI.

analytics data-analysis data-visualization engine kaggle numpy pandas powerbi powerbi-dashboards powerbi-desktop powerbi-reports python recommendation-engine recommendation-system recommender-systems scikit-learn scipy

Last synced: 06 Dec 2024

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: 19 Nov 2024

https://github.com/roboneet/enron_analysis

udacity project (to be complete)

machine-learning scikit-learn

Last synced: 03 Dec 2024

https://github.com/hariprasath-v/hackerearth-amazon-business-research-analyst-hiring-challenge

Build a machine learning model that can calculate the time the delivery person takes to deliver the order.

exploratory-data-analysis hackerearth machine-learning pandas pycaret python scikit-learn seaborn

Last synced: 13 Nov 2024

https://github.com/hariprasath-v/av-dataverse-hack---insurance-claim-prediction

Create a machine learning model to predict if the policyholder will file a claim in the next 6 months or not based on the set of car and policy features.

analyticsvidhya classification exploratory-data-analysis f1-score matplotlib numpy pandas python randomforest-classification scikit-learn seaborn shap

Last synced: 13 Nov 2024

https://github.com/florianwoelki/stock_price_prediction

This is a simple jupyter notebook for stock price prediction. As a model I've used the linear, ridge and lasso model.

lasso-regression linear-regression python ridge-regression scikit-learn stock-price-prediction

Last synced: 29 Nov 2024

https://github.com/hariprasath-v/machinehack-analytics-olympiad-2022

Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.

catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap

Last synced: 13 Nov 2024

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: 13 Nov 2024

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 Nov 2024

https://github.com/hariprasath-v/machinehack_analytics_olympiad_2023

Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.

binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap

Last synced: 13 Nov 2024

scikit-learn Awesome Lists
awesome-python-data-science 379 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 64 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