代写 game • House Prices Prediction

• House Prices Prediction
https://www.kaggle.com/c/house-prices-advanced-regression-techniques

With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.

• Predict survival on the Titanic
https://www.kaggle.com/c/titanic/data

In this challenge, you are asked to complete the analysis of what sorts of people were likely to survive.

• Can you predict the battle royale finish of PUBG players?
https://www.kaggle.com/c/pubg-finish-placement-prediction/data

You are given over 65,000 games’ worth of anonymized player data, split into training and testing sets, and asked to predict final placement from final in-game stats and initial player ratings.

• Santander Customer Satisfaction
https://www.kaggle.com/c/santander-customer-satisfaction

In this competition, you’ll work with hundreds of anonymized features to predict if a customer is satisfied or dissatisfied with their banking experience.

• Predict if a car purchased at auction is a lemon
https://www.kaggle.com/c/DontGetKicked

The challenge of this competition is to predict if the car purchased at the Auction is a Kick (bad buy).

• Santander Customer Transaction Prediction
https://www.kaggle.com/c/santander-customer-transaction-prediction

In this challenge, you are asked to identify which customers will make a specific transaction in the future, irrespective of the amount of money transacted. 

• Restaurant Revenue Prediction
https://www.kaggle.com/c/restaurant-revenue-prediction/data

Predict annual restaurant sales based on objective measurements

• Loan Default Prediction
https://www.kaggle.com/c/loan-default-prediction/data
Predict loan default with over two hundred thousand observations