Applied Data Science Capstone
Completed by Eliya Joseph Exavery
September 7, 2020
14 hours (approximately)
Eliya Joseph Exavery's account is verified. Coursera certifies their successful completion of Applied Data Science Capstone
What you will learn
Demonstrate proficiency in data science and machine learning techniques using a real-world data set and prepare a report for stakeholdersÂ
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 modelÂ
Skills you will gain
- Category: Applied Machine Learning
- Category: Interactive Data Visualization
- Category: Exploratory Data Analysis
- Category: Data Analysis
- Category: Model Optimization
- Category: Data-Driven Decision-Making
- Category: Statistical Machine Learning
- Category: Data Science
- Category: Statistical Reporting
- Category: Model Training
- Category: GitHub
- Category: Data Presentation
