What you will learn

• Demonstrate proficiency in data science and machine learning techniques using a real-world data set and prepare a report for stakeholders 

• Apply your skills to perform data collection, data wrangling, exploratory data analysis, data visualization model development, and model evaluation

• Write Python code to create machine learning models including support vector machines, decision tree classifiers, and k-nearest neighbors

• Evaluate the results of machine learning models for predictive analysis, compare their strengths and weaknesses and identify the optimal model