This is the repository that contains the material of the live learning sessions of the NYC Data Science Academy Online Bootcamp.
Please find the structure of the structure of the content below:
- Choosing an Effective Visualization
- Your Toolkits to Prepare for SQL Interview
- A/B Testing with Permutation Test
- Machine Learning and Customer Analytics
- Best Practices in Python Coding
- Examining Imputation of Race for Mothers in CDC Natality Records
- Building an Interactive Dashboard in Plotly Dash
- How Strong is Your Machine Learning Model
- Introduction to Text Mining
- Data Analytics through The Lens of Random Forests
- Introduction to Object Detection
- Hints for Model Selection
- Introduction to Time Series
- Evaluating Classification Models
- How to tackle Python coding challenges
- Object Oriented Programming in Python
- Statistical testing for data analysis
- Marketing Basket Analysis and Association Rules