Machine Learning Engineer Nanodegree

Machine learning represents a key evolution in the fields of computer science, data analysis, software engineering, and artificial intelligence.

Machine Learning Engineer Nanodegree teaches you how to become a machine learning engineer, and apply predictive models to massive data sets in fields like finance, healthcare, education, and more.

Program is divided into 6 parts.

• Data Exploration
• Model Evaluation and Validation
• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
• Machine Learning Specializations

Each part ends with a project that you have to complete in order to graduate. Following are my project submissions.

• Titanic Survival Exploration (Source Code, Report)

• Predicting Boston Housing Prices (Source Code, Report)

• Build a Student Intervention System (Source Code, Report)

• Creating Customer Segments (Source Code, Report)

• Train a Smartcab to Drive (Source Code, Report)

• Capstone: Plot and Navigate a Virtual Maze (Source Code, Report)

I graduated in Nov, 2016.

Next: First XGBoost Model with scikit-learn