Applied Data Science Capstone
Completed by Aditya Nema
July 30, 2023
14 hours (approximately)
Aditya Nema'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: Spatial Data Analysis
- Category: Data Visualization Software
- Category: Model Evaluation
- Category: Pandas (Python Package)
- Category: Plotly
- Category: Predictive Modeling
- Category: Interactive Data Visualization
- Category: Applied Machine Learning
- Category: Dashboard Creation
- Category: Model Training
- Category: Statistical Machine Learning
- Category: Classification And Regression Tree (CART)
