How to Create Machine Learning (ML) Datasets

Machine Learning

Machine learning is a subset of artificial intelligence that enables a system to autonomously learn and improve using neural networks and deep learning, without being explicitly programmed, by feeding it large amounts of data.

Machine learning works by training algorithms on sets of data to achieve an expected outcome such as identifying a pattern or recognizing an object.

Machine learning is the process of optimizing the model so that it can predict the correct response based on the training data samples.

In the below video, you will learn how to

• Access and explore a public BigQuery dataset on NYC Taxi Cab rides
• Visualize your dataset using the Seaborn library
• Inspect and clean up the dataset for future ML model training
• Create a benchmark to judge future ML model performance off of.

Video Link: https://www.youtube.com/watch?v=IwqLknKi7BY