In this repository I will be adding all the automated libraries with respect to data science.
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Updated
Feb 17, 2021 - Jupyter Notebook
In this repository I will be adding all the automated libraries with respect to data science.
ML model to predict Adherence Rate using K Means
My kernels on Kaggle
Create a model to get an ideally functioning turbine’s expected rotor bearing temperature.
A ML model to predict whether the clients will subscribe to insurance or not.
Master Thesis: Aviation Accident Prediction (AAP)
Using pycaret library to solve regression, classification and clustering problems
This repo is maintained for a web app that lets you predict 'value' of an IPL player based on some player statistics.
I detect fraud using Anomaly Detection (isolation forest), Sampling (RUS)+Classification, and Classification (XGBOOST, PyCaret AUTOML, and ANN)
EDA and predictions on salary in usd for professionals in the data science field
Machine learning to predict patients with diabetes. Ensemble and individual learning models were used to obtain the best possible response.
Build a machine learning model that can calculate the time the delivery person takes to deliver the order.
Streamlit demo project with PyCaret
This repository holds an end-to-end project focused on predicting and analyzing employee churn using Google Cloud services. The goal is to help organizations proactively identify employees at risk of leaving and implement retention strategies more effectively.
This is a sample application that demonstrates how to build a classification AutoML app using Streamlit, Pandas Profiling, and PyCaret.
Add a description, image, and links to the pycaret topic page so that developers can more easily learn about it.
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