pycaret-library
There are 37 repositories under pycaret-library topic.
Wb-az/timeseries-sensor-anomaly-detection
Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM
sannjayy/python-phishing-url-detection
Python Phishing URL Detection
luuisotorres/Predicting-Apple-Stock-Prices-Using-PyCaret
Using PyCaret to Predict Apple Stock Prices
PranjalGhildiyal/RealTimeSeries
Real time streaming of a time series with corresponding forecasts.
AIAnytime/PyCaret-Primer
All of my PyCaret's notebooks covering both Supervised & Unsupervised Machine Learning.
DanielUgoAli/Auto-ML-pipeline-app
A python project using Streamlit, Pycaret and Pandas to demo an automated data modelling🤖 workflow.
KalyanM45/Automated-ML-Modelling
This is the Streamlit web application that allows users to upload a dataset, generate an automated exploratory data analysis (EDA) report using the pandas-profiling library, and and train a machine learning model for regression or classification tasks.
ongaunjie1/pycaret_automl_streamlit
Utilizes pycaret to automates machine learning workflows (Deployed at streamlit)
Davisy/Time-Series-Forecasting-with-Pycaret-and-QuestDB
How to access time series data from QuestDB Data storage and train a forecasting model using Pycaret Library
elvis-darko/AUTO-MACHINE-LEARNING-WEB-APP-USING-STREAMLIT-AND-PYCARET
This repository contains a practice streamlit app that automatically builds, trains and downloads(optional) the best performing machine learning model
Hamim-Hussain/To-Graduate-Or-Not-To-Graduate
Our project leverages Python, pandas, Tableau, and machine learning techniques to analyse and predict student outcomes in higher education. Using a comprehensive dataset, we employ data preprocessing, visualisation with Tableau, and advanced machine learning models built with Python to uncover insights into graduation rates and factors influencing
JBris/pycaret-fugue-dask-test
Testing PyCaret, Fugue, and Dask
tejasayya/Alzheimer-s-Disease-Analysis
A research study on How do factors like alcohol consumption, age, ethnic background, and medical history affect the risk of developing Alzheimer's disease?
DanielaRosero/Titanic
Análisis detallado del famoso conjunto de datos del Titanic. Este proyecto explora los factores que pudieron haber influido en la supervivencia de los pasajeros durante el desastre.
DattaSaiReddyM/CardioCare
Analyzed large-scale patient data from multiple sources, including electronic health records. Developed a predictive model with high accuracy, for early disease detection using 6 ML algorithms in model.
Farooqbasha008/Customer-Conversion-Prediction-for-a-new-age-Insurance-Company
A ML model to predict whether the clients will subscribe to insurance or not.
hakanskn/Breast-Cancer-Detection
Breast Cancer detection study with Pycaret library.
kirankirank/fack-news-detection-through-web-scraping-using-python
Fack news Detection
luuisotorres/Data-Science-Job-Salaries-EDA-and-Predictions-with-PyCaret
EDA and predictions on salary in usd for professionals in the data science field
Marguna23/PREDICTION-OF-ALCOHOL-LEVEL-BASED-ON-CHEMICAL-PROPERTIES-OF-THE-WHITE-WINE-REGRESSION-
CatBoost regressor for Predicting alcohol level based on chemical properties of the white wine
R-Madhuram/UC-BerkeleyCapstone_CreditCardFraudDetection
Detecting and Identifying Fraudulent credit card transactions from normal transactions.
rashmi-ar/VREED-with-Pycaret
Low-code machine learning library in Python - Pycaret
Saba-Gul/-PyCaret-Streamline-Your-Machine-Learning-Workflow
PyCaret: Simplifying machine learning workflows with a low-code, open-source Python library.
SLMath/DS_PlanoSaude-Pycaret
Predição do gasto do plano de saúde com um novo cliente
soumyadeepghoshGG/Titanic-Automated-Report-Gen-and-Training
Titanic: Machine Learning from Disaster - Predict survival on the Titanic - Automation for EDA and Modelling
vasco-oliveiraa/Washington-DC-Bike-Dataset-Analysis-and-Prediction-Application
This is a Streamlit application that allows users to explore the Washington DC Bike Dataset and showcases the modeling process for predicting the number of users per hour on a given day. The app includes two main sections: exploratory data analysis (EDA) and predictive modeling.
felipefrm/lol-win-prediction
🎮 Trabalho Prático - Tecnologias para Data Science
gehad-Ahmed30/Auto-ML
This repository showcases a comparison of AutoML frameworks—PyCaret, Lazy Predict, and H2O AutoML—by evaluating multiple models automatically and analyzing their performance. 🚀
HananMoAlnakhal/PPV-Reg-ML
this is a regression model using pycaret
hariprasath-v/AV_job-a-thon-august-2022
Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.
Mehrab-Kalantari/Pycaret-Projects
Using pycaret library to solve regression, classification and clustering problems
Mfundo-debug/autoML
Basic EDA, Model
Paras-bakshi/Machine-Learning-with-Pycaret
Machine Learning with Pycaret simple, easy to learn.
rezacsedu/Celonis_DS_Task
Gesture detection from time-series data