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Utilizing weather conditions with continuous random data to predict visitor attendance - Ultimate Student Hunt Machine Learning Challenge.

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Utilising weather conditions with continuous random data to predict visitor attendance

Problem

Welcome to Gardenia - A country which believes in creating a harmony between technology and natural resources. Over the years, Gardenia has come up with ways to utilise natural resources effectively and they have enabled this with use of cutting edge technology.

The country takes pride in the way it has maintained its natural resources and Gardens. Now, the government of Gardenia wants to use data science to understand the health habits of their citizens. So, they started to capture several variables from various parks in the country.

They now have this data over a long period of time and are looking for experts like yourself to look at the data and tell, if you can predict how many people will come to a park on a particular day, given the environmental information.

Go, help the mayor of Gardenia! He has high hopes from Analytics Vidhya community! All the best!

Key Points:

  1. It has data for period Sep'1990 to Dec'2005
  2. The training data for period Sep'1990 to Dec'2001
  3. Public leaderboard is for first 2 years of the test dataset (Jan'2002 and Dec'2003) and rest of test dataset is used for Private leaderboard

Contest

Ultimate Student Hunt Machine Learning Challenge by Analytics Vidhya .

Model Summary

Estimations and idea generation using Gradient Boosting Regressor and implementation using XGBoost .

Rank

Leaderboard : 16 / 1494

RMSE : 95.597786

Winning RMSE : 84.832233

Team

Sarthak Munshi <https://saru.ml>

Yash Katariya <https://yashk2810.github.io>

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Utilizing weather conditions with continuous random data to predict visitor attendance - Ultimate Student Hunt Machine Learning Challenge.

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