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Practical Python for AI Coding 2
Beginner
Online
9 Hours
Free Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Coursera |
The Syllabus
Videos
- Differences among list, NumPy, Pandas and TensorFlow
- Basic concepts of arrays: Data type, shape, and dimension
- Special arrays and array indexing
- Array operatins and broadcasting rule
- Slicing and flattening arrays
- Getting summary statistics
Practice Exercise
- Week 1 Quiz
Videos
- Introducing Pandas Libraries and Series
- DataFrames: creation and index change
- DataFrames slicing
- Sorting DataFrames data
- DataFrame exercise with Iris data
- Combining DataFrames based on unique IDI
- Descriptive statistics and one hot vector
Practice Exercise
- Week 2 Quiz
Videos
- String concept, indexing and slicing
- String concatenation and splitting
- Advanced string slicing
- Character into ASCII code and f-strings
- Reading and saving data files
Practice Exercise
- Week 3 Quiz
Videos
- Preparing canvas and adding subplots
- Line graphs and bar charts
- Drawing histograms
- Scatter plot, box plot and pie chart
- Drawing with DataFrame data
- Plotting with Seaborn
Practice Exercise
- Week 4 Quiz
Videos
- Concept of object oriented programming and creating a class
- Class inheritance and overriding methods
- Another example of class inheritance and closing remarks
Practice Exercise
- Week 5 Quiz