Bike Demand Analysis in Python - Solution with Source Code | Machine Learning Project

#codersarts #machinelearning #machinelearningprojects #kaggle #python #datascience #dataanalysis

This is the second part of the BIKE DEMAND ANALYSIS Project where we create a complete project on Kaggle Community Platform regarding prediction of hourly or daily bike demand based on data over a year for a city. We use data cleaning, data plotting and utilised Random Forest Classifier, Support Vector Machine and Logistic Regression with best parameters possible for getting the best prediction accuracy. All these algorithms are mathematical implementations and we have utilised them with optimal parameters.

Chapters:
00:00 Getting Started with Bike Demand Analysis in Python
01:32 Libraries
02:23 Dataset
05:54 Cleaning data
07:12 Analyse output field
15:45 Plotting data
22::25 Train Test Splitting
27:00 Random Forest Classifier
30:00 Support Vector Machine
36:54 Logistic Regression

See you in another video with more projects. Below are the mentioned links:

Machine Learning Assignment Help Service
===================================

Data Science & ML Tutorial :
=======================

Machine Learning, Deep Learning Project Series :
========================================

Project ideas and Work Samples:
===========================

Follow us on our Social Media Handles :
=================================

Hire Machine Learning Mentor

Codersarts Training

Important links:
=============