Advanced NumPy
3.5 Practice Problems
Data Mining
Welcome
Vectors and Matrices
1.1 Scalars and Vectors
1.2 Vector Operations
1.3 Matrices
1.4 Matrix Operations
1.5 Practice Problems
Introduction to Tensors
2.1 Tensors
2.2 Introduction to NumPy
2.3 Arithmetic & Indexing
2.4 Practice Problems
Advanced NumPy
3.1 Universal Functions
3.2 Statistical Methods
3.3 Numerical Linear Algebra
3.4 Applications (Optional)
3.5 Practice Problems
Introduction to Pandas
4.1 Essential Data Structures
4.2 Essential Functionality
4.3 Basic Descriptive Statistics
4.4 Data Acquisition
Data Preparation and Wrangling
5.1 Handling Missing Values
5.2 Data Transformation
5.3 Hierarchical Indexing
Exploratory Data Analysis (EDA)
Midterm
Homeworks
Labs
Lab 1
Lab 2
Lab 3
Lab 4
Lab 5
References
Advanced NumPy
3.5 Practice Problems
3.5 Practice Problems
Problems
3.4 Applications (Optional)
Introduction to Pandas