Jupyter Notebook - Predicting bike rental numbers based on climate and temporal data
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Updated
Feb 23, 2023 - Jupyter Notebook
Jupyter Notebook - Predicting bike rental numbers based on climate and temporal data
This repository contains introductory notebooks for Decision tree
If you liked my analysis, pls upvote my notebook!
This project involves the prediction of house prices in Bengaluru city using Decision Tree Regression in Jupyter Notebook. Through this analysis, we aim to build a regression model that accurately predicts house prices based on the given input features.
Predicting voter turnout in US presidential and midterm elections given only the turnout of the previous presidential and midterm election. Uses decision tree regression and implemented in Jupyter Notebook.
This Notebook kernel deals with a dataset from 2017 of three 3 MW windturbines. It covers an EDA and Data Visualization of the Turbine and and the comparison of different regression Models including Decision Tree, Random Forrest, Support Vector Machine and ANN.
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