In this lab, I inserted, updated, and deleted data in the AdventureWorksLT database. This is a T-SQL lab for modifying data.

I used some basic Transact-SQL programming logic to work with data in the AdventureWorksLT database.

In this lab, I used Transact-SQL to implement error handling and transactions in the AdventureWorksLT database.

Making use of Seaborn’s visualisation capabilities, as well as creating new features, converting data types, creating a dictionary and using .groupby.

Making use of SparkML to classify whether a flight would be late or not, as well as improving the model with Parameter Tuning.

Building a simple recommender system using SparkML and collaborative filtering, ready for validation and tuning tasks.

This Lending Club data makes use of Decision Trees and Random Forest to find the borrowers with the highest probability of paying them back.

This Natural Language Programming project attempts to classify Yelp Reviews into 1 star or 5 star categories based off the text content in the reviews.

Using a Support Vector Machine algorithm to predict the correct flower type based on the flower’s characteristics, as well as trying GridSearch.