Machine Learning Specialization

Apply regression, classification, clustering, retrieval, recommender systems, and deep learning

Represent your data as features to serve as input to machine learning models

Build an end-to-end application that uses machine learning at its core

Tune parameters with cross validation

Build a regression model to predict prices using a housing dataset

Build a classification model to predict sentiment in a product review dataset

Use techniques for handling missing data

Identify various similarity metrics for text data