Artificial Intelligence with Python

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6:58:15

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1. Artificial Intelligence With Python - Beginner Level

1. Introduction to Course.mp4

06:52

2. Download Anaconda Navigator.mp4

09:20

3. Set up and Installation.mp4

08:18

4. Numpy in Jupyter Notebook.mp4

09:22

5. Array Function.mp4

07:02

6. Numpy indexing and Selection.mp4

10:02

7. Filter Function.mp4

05:52

8. Python Libraries for Visualization.mp4

09:56

9. Python Libraries for Visualization Continued.mp4

09:36

10. Matpotlib Library and its Users.mp4

10:45

11. Matpotlib Library and its Users Continued.mp4

09:28

12. Plotting of Data.mp4

12:44

13. Seaborn Package for Visualization.mp4

09:22

14. Seaborn Package for Visualization Continued.mp4

07:50

15. Scatter Plots.mp4

06:53

16. Scatter Plots Continued.mp4

08:47

17. Seaborn Libraries and its Implication.mp4

10:40

2. Artificial Intelligence With Python - Intermediate Level

1. Introduction to Course.mp4

08:06

2. Python for AI.mp4

05:53

3. What is Machin Learning.mp4

11:17

4. Data Processing Effort.mp4

08:35

5. What is Meaning of Bias.mp4

09:38

6. Bias vs Variance Tradeoff.mp4

07:40

7. Model Evolution.mp4

11:00

8. Scikit Learn.mp4

12:56

9. Loading the Data.mp4

10:51

10. Checking the Visualization.mp4

13:52

11. Predict.mp4

08:32

12. Data Values.mp4

07:45

13. Applying Dimensionality Reduction.mp4

10:26

14. Model Selection.mp4

09:49

15. Neighbors Classifier.mp4

10:28

16. Accuracy of Classifier.mp4

09:01

17. ML Classification Hindson.mp4

07:26

18. Statistical Analysis of the Dataset.mp4

06:14

19. Import Label Encoder.mp4

09:29

20. Accuracy Score.mp4

07:21

21. Multilayer Perceptron.mp4

06:57

22. Multilayer Perceptron Continued.mp4

08:08

23. Number of Clusters.mp4

10:01

24. Multiple Method.mp4

09:39

25. Keras-Pytorch and Tensorflow.mp4

09:39

26. Working on Jupyter Notebook.mp4

11:15

27. Binary Classification.mp4

11:30

28. Use Markdown Headings.mp4

06:06

29. Pyplot.mp4

05:52

Description

Create new Artificial Intelligence applications using Python.

What You'll Learn?

Apply AI in business applications
Understand the concept of Explainable AI
Build, train, deploy AI models in business
Learn about Artificial Intelligence and related technologies with practical examples and information.

Who is this for?

Anyone who wants to learn Python, R, UIPath, Power BI, and mobile app programming

Beginner Python developers who are interested in Artificial Intelligence and Data Science

What You Need to Know?

Computer and internet connection.

No programming experience needed. We will show everything you need to know

More details

Description
Are you prepared for the AI revolution? Artificial Intelligence has become the centrepiece of strategic decision making for organizations. It is disrupting the way industries function - from sales and marketing to finance and HR, companies are betting on AI to give them a competitive edge. AI with Python is a thoughtfully created course designed specifically for business people and does not require any programming. Through this course you will learn about the current state of AI, how it's disrupting businesses globally and in diverse fields, how it might impact your current role and what you can do about it. This course also dives into the various building blocks of AI and why it's necessary for you to have a high-level overview of these topics in today's data-driven world. We will also provide you with multiple practical case studies towards the end of the course that will test your understanding and add context to all that you've studied. By the time you finish the course, you will be ready to apply your newly-acquired knowledge in your current organization. You will be able to make informed strategic decisions for yourself and your business.
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. It is the simulation of natural intelligence in machines that are programmed to learn and mimic the actions of humans. These machines are able to learn with experience and perform human-like tasks. As technologies such as AI continue to grow, they will have a great impact on our quality of life. Artificial intelligence (AI) is one of the top tech fields to be in right now! Financial institutions, legal institutions, media companies, and insurance companies are all figuring out ways to use artificial intelligence (ai) to their advantage. From fraud detection to writing news stories with natural language processing(NLP) and reviewing law briefs, AIâ€™s reach is extensive.
Who this course is for:
Anyone who wants to learn Python, R, UIPath, Power BI, and mobile app programming
Beginner Python developers who are interested in Artificial Intelligence and Data Science

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