lazypredict
There are 1 repository under lazypredict topic.
nityansuman / lazypredict-nightly
Lazy Predict 2.0 to help you benchmark models without much code and understand what works better without any hyyper-parameter tuning.
Language:Python 10sidharth178 / House-Prices-Advanced-Regression-Techniques
The objective of the project is to perform advance regression techniques to predict the house price in Boston.
Language:Jupyter Notebook 9- Language:Jupyter Notebook 6
The objective of this project is to determine the risk of default that a client presents and assign a risk rating to each client. The risk rating will determine if the company will approve (or reject) the loan application
Language:Jupyter Notebook 5bharatkulmani / Breast-Cancer-lazypredict
This Program is for Prediction of Breast Cancer
Language:Jupyter Notebook 2Project is about predicting Class Of Beans using Supervised Learning Models
Language:Jupyter Notebook 2This Program is for Prediction of Crop Recommendation based on Rainfall,Humidity,Amount of Potassium and Amount of Nitrogen
Language:Jupyter Notebook 1doruq-IT / Medical_Cost_Analysis
Exploring a real-world dataset for regression analysis.
Language:Jupyter Notebook 1ismizu / Lazy_LazyPredict
Utilizing LazyPredict, Feature Engine, Feature Tools: Narrow down base models automating various aspects of the eda process. Blog post at link.
Language:Jupyter Notebook 1jparedesDS / lazy-classifier-traffic-accidents-madrid
Analysis and predictions of Traffic Accidents in the City of Madrid
Language:Jupyter Notebook 1SandeepanMahapatra / Machine-Learning-Notebooks
In this repository, I have displayed some of the datasets I've worked upon.
Language:Jupyter Notebook 1Shraeyas / Employee-Attrition-Prediction
Attrition prediction of Employees
Language:Jupyter Notebook 1vyperid / Spotify-Music-Analysis-Using-ML-Techniques-
This is our Design Project for the semester.
Language:Jupyter Notebook 1Cintia0528 / Data_Science-Supervised_Machine_Learning_Classification_Housing
The projects aim is to find the to best ML algorithm evaluated on its efficiency in predicting whether homes should be classified as expensive or not expensive.
Language:Jupyter Notebook 0JMartinArocha / EarthquakeDamageModels
Practical exercise using the "Richter's Predictor: Modeling Earthquake Damage" competition on DrivenData
Language:Jupyter Notebook 0JuanGouveia / Final-Project
The primary goal of this project is to conduct an Exploratory Data Analysis (EDA) in Formula 1 using Tableau and a pre-made MySQL database created with web scraping using Selenium. Our secondary objective is to develop a web page with Streamlit and apply machine learning with LazyPredict to predict events in Formula 1.
Language:Jupyter Notebook 0The main objective of this project is to utilize machine learning using the LazyPredict library to predict values of a specific column. The primary focus is on minimizing the error index (RMSE) to achieve the highest possible accuracy in our predictions.
Language:Jupyter Notebook 0piotr-druzdzel / LazyPredict-Evaluation
Testing LazyPredict performance
Language:Jupyter Notebook 0Predict home prices using regression, optimizing for R2 and RMSE metrics to create a robust model with minimal prediction deviation.
Language:Jupyter Notebookgiselle-ferreira / GITAGE
Trabalho desenvolvido para o SoulMaster Upskilling da Soulcode Academy que busca resolver um problema específico na área de educação com o uso de Análise Preditiva com Vertex AI e LazyPredict.
