My First Project Cyclistics Kaggle

First Kaggle Competition Experience Pdf Computing Discover what actually works in ai. join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons. This repository contains my google data analytics capstone project analyzing 12 months of cyclistic bike share data. the goal of this project is to uncover insights into the riding patterns of casual riders versus annual members and provide recommendations to help convert casual riders into members.

My First Project Cyclistics Kaggle This analysis is part of the google data analytics capstone project. the dataset used in this study is publicly available and provided by cyclistic under the data license agreement. In order to answer the key business questions, i’m going to follow the steps of the data analysis project: ask, prepare, analyze, share and act. how do annual members and casual riders use cyclistic differently? annual members are much more profitable than casual riders. I’ve spent the last few months working through google’s data analytics certificate on coursera and this is my capstone project to complete the course. In this case study i am working as a junior data analyst in the marketing analyst team at cyclistic, a fictional bike share company in chicago. cyclistic is a bike share program that features more than 5,800 bicycles and 600 docking stations.

Project 3 Kaggle I’ve spent the last few months working through google’s data analytics certificate on coursera and this is my capstone project to complete the course. In this case study i am working as a junior data analyst in the marketing analyst team at cyclistic, a fictional bike share company in chicago. cyclistic is a bike share program that features more than 5,800 bicycles and 600 docking stations. First, we research ideas and record our learnings. then, we experiment with these ideas on our local machines in jupyter notebooks. once we have a working idea, we refactor the code into our module and create scripts to run the experiments. we run the new experiment (s) on kaggle. finally, we track the results of the new experiments. My first case study, made enterely with spreadsheets!. Explore and run machine learning code with kaggle notebooks | using data from google cyclistics dataset (jan to dec 2021 ). Explore and run machine learning code with kaggle notebooks | using data from case study dataset from divvy trippdata in 2022.