- Machine Learning Methods
- Data Collection
- Data Presentation
- Data Wrangling
- Data Analysis
- Pandas (Python Package)
- Exploratory Data Analysis
- Data-Driven Decision-Making
- GitHub
- Plotly
- Data Science
- Predictive Modeling
Applied Data Science Capstone
Completed by Taha Filali
January 2, 2021
13 hours (approximately)
Taha Filali'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
