ADEC7810 - Final

ADEC7810 - Problem Set 3 Replicating results

ADEC7810 -- Problem Set 2 Replicating experimental results

R Practice

Predicting future visitors for many restaurants in Japan. ADEC7460.02 -- Final project https://www.kaggle.com/c/recruit-restaurant-visitor-forecasting

ETS, STL, ARIMA models compared to find best test set predictions. I'm surprised to see ARIMA outperform ETS.

Midterm 1

Chapter problems -- 8 & 9 , Hyndman

Chapter problems -- 3 & 7 , Hyndman

Building off last post with Bumble data.

Bumble dataset on customer reviews. https://www.kaggle.com/datasets/shivkumarganesh/bumble-dating-app-google-play-store-review

For a discussion post. Stock is Schwab (SCHW)

Using the MNIST dataset

K-Nearest Neighbor and Softmax

Predicting AirBnB prices in NYC.

Using machine learning to predict the amount of wine-cases bought. The data used primarily consists of numerical measurements regarding the composition of any given wine.

Analyzing team Baseball statistics to predict the number of wins any given team might achieve.

This project uses a dataset consisting of numerical and categorical information which describe specific individuals. Predictions are made on both which individuals will file an insurance claim as well as the dollar amount that claim will be. The former prediction use logit models, and the latter use linear models.