Artificial Intelligence with Python

سرفصل های دوره

Create new Artificial Intelligence applications using Python.

1. Artificial Intelligence With Python - Beginner Level

1. Introduction to Course

2. Download Anaconda Navigator

3. Set up and Installation

4. Numpy in Jupyter Notebook

5. Array Function

6. Numpy indexing and Selection

7. Filter Function

8. Python Libraries for Visualization

9. Python Libraries for Visualization Continued

10. Matpotlib Library and its Users

11. Matpotlib Library and its Users Continued

12. Plotting of Data

13. Seaborn Package for Visualization

14. Seaborn Package for Visualization Continued

15. Scatter Plots

16. Scatter Plots Continued

17. Seaborn Libraries and its Implication

2. Artificial Intelligence With Python - Intermediate Level

1. Introduction to Course

2. Python for AI

3. What is Machin Learning

4. Data Processing Effort

5. What is Meaning of Bias

6. Bias vs Variance Tradeoff

7. Model Evolution

8. Scikit Learn

9. Loading the Data

10. Checking the Visualization

11. Predict

12. Data Values

13. Applying Dimensionality Reduction

14. Model Selection

15. Neighbors Classifier

16. Accuracy of Classifier

17. ML Classification Hindson

18. Statistical Analysis of the Dataset

19. Import Label Encoder

20. Accuracy Score

21. Multilayer Perceptron

22. Multilayer Perceptron Continued

23. Number of Clusters

24. Multiple Method

25. Keras-Pytorch and Tensorflow

26. Working on Jupyter Notebook

27. Binary Classification

28. Use Markdown Headings

29. Pyplot

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تولید کننده: Udemy