高级 Python 数据科学 Python
Advance Python Python for Datascience
- 1. Introduction to Python
- 1. Introduction to python (part-1)
- 2. Introduction to python (part-2)
- 2. Advanced Python Concepts
- 1. List Comprehension and Generators
- 2. File Handling
- 3. Exception handling
- 4. Object Oriented Programming (oops)
- 5. Decorators and Metaclasses
- 3. NumPy (expand on the basic library coverage)
- 1. Arrays and Arrays Operations
- 2. Array Indexing and Slicing
- 3. Broadcasting and Vectorization
- 4. Mathematical functions and Linalg
- 5. Array Manipulation and Reshaping
- 4. Pandas (expand on the basic library coverage)
- 1. Pandas Datastructure
- 2. Data Transformation and Manipulation
- 3. Data Cleaning and Preprocessing
- 4. Joining Merging and Reshaping
- 5. Data Visualization
- 1. Advanced Matplolib Techniques
- 2. Seaborn
- 3. Plotly
- 4. Geospatial_Data_Analysis
- 6. Supervised Learning Algorithms
- 1. Linear Regression
- 2. Logistic Regression
- 3. Support Vector Machines, Decision Trees, Random Forests,
- 7. Unsupervised Learning Algorithms
- 1. 24. Unsupervised Learning