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What you'll learn
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2. Basic Data Types
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4. Lists
5. Tuples and Strings
6. Dictionaries and Sets
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8. Pandas DataFrames
9. Reading and Writing Data
10. Control Flow
11. Functions
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18. Frequency Tables
19. Pandas
20. NumPy
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What you'll learn
- Comprehensive understanding of machine learning algorithms and techniques
- Proficiency in building and training machine learning models
- Skills in evaluating and fine-tuning model performance
- Knowledge of feature engineering and data preprocessing techniques
- Ability to apply machine learning to real-world problems
- Experience with working on machine learning projects
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- Familiarity with popular machine learning frameworks and libraries
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10. Control Flow
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This course will provide an overview of Python data types, …
What you'll learn
1. Python Arithmetic
2. Basic Data Types
3. Variables
4. Lists
5. Tuples and Strings
6. Dictionaries and Sets
7. NumPy Arrays
8. Pandas DataFrames
9. Reading and Writing Data
10. Control Flow
11. Functions
12. List Comprehensions
13. Data Exploration and Cleaning
14. Working With Text Data
15. Preparing Numeric Data
16. Dealing With Dates
17. Merging Data
18. Frequency Tables
19. Pandas
20. NumPy
