PXT24

PXT24
Artificial Intelligence with Python by EDUCBA Bridging the Gap
  • Category
    : Other
  • Type
    : Tutorials
  • Language
    : English
  • Total size
    : 2.50 GB
  • Date uploaded
    : 08 Feb ,2024

Direct Download
Artificial Intelligence with Python by EDUCBA Bridging the Gap

https://FreeCourseWeb.com

Published 1/2024
Created by EDUCBA Bridging the Gap
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 46 Lectures ( 6h 58m ) | Size: 2.48 GB

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.

Requirements:
Computer and internet connection.
No programming experience needed. We will show everything you need to know

[ FreeCourseWeb.com ] Artificial Intelligence with Python by EDUCBA Bridging the Gap

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1. Artificial Intelligence With Python - Beginner Level

2. Artificial Intelligence With Python - Intermediate Level

Get Bonus Downloads Here.url (0.2 KB)
1. Introduction to Course.mp4 (20.6 MB)
10. Matpotlib Library and its Users.mp4 (47.0 MB)
11. Matpotlib Library and its Users Continued.mp4 (52.4 MB)
12. Plotting of Data.mp4 (70.8 MB)
13. Seaborn Package for Visualization.mp4 (50.7 MB)
14. Seaborn Package for Visualization Continued.mp4 (44.1 MB)
15. Scatter Plots.mp4 (42.0 MB)
16. Scatter Plots Continued.mp4 (55.2 MB)
17. Seaborn Libraries and its Implication.mp4 (86.0 MB)
2. Download Anaconda Navigator.mp4 (70.3 MB)
3. Set up and Installation.mp4 (41.7 MB)
4. Numpy in Jupyter Notebook.mp4 (53.2 MB)
5. Array Function.mp4 (39.0 MB)
6. Numpy indexing and Selection.mp4 (81.1 MB)
7. Filter Function.mp4 (48.2 MB)
8. Python Libraries for Visualization.mp4 (57.5 MB)
9. Python Libraries for Visualization Continued.mp4 (37.4 MB)
1. Introduction to Course.mp4 (23.5 MB)
10. Checking the Visualization.mp4 (78.7 MB)
11. Predict.mp4 (53.5 MB)
12. Data Values.mp4 (53.3 MB)
13. Applying Dimensionality Reduction.mp4 (60.4 MB)
14. Model Selection.mp4 (61.3 MB)
15. Neighbors Classifier.mp4 (58.4 MB)
16. Accuracy of Classifier.mp4 (50.2 MB)
17. ML Classification Hindson.mp4 (38.1 MB)
18. Statistical Analysis of the Dataset.mp4 (49.4 MB)
19. Import Label Encoder.mp4 (50.3 MB)
2. Python for AI.mp4 (24.4 MB)
20. Accuracy Score.mp4 (36.3 MB)
21. Multilayer Perceptron.mp4 (44.3 MB)
22. Multilayer Perceptron Continued.mp4 (49.8 MB)
23. Number of Clusters.mp4 (69.4 MB)
24. Multiple Method.mp4 (66.2 MB)
25. Keras-Pytorch and Tensorflow.mp4 (47.5 MB)
26. Working on Jupyter Notebook.mp4 (60.5 MB)
27. Binary Classification.mp4 (71.7 MB)
28. Use Markdown Headings.mp4 (50.1 MB)
29. Pyplot.mp4 (36.2 MB)
3. What is Machin Learning.mp4 (65.4 MB)
4. Data Processing Effort.mp4 (59.9 MB)
5. What is Meaning of Bias.mp4 (84.8 MB)
6. Bias vs Variance Tradeoff.mp4 (50.7 MB)
7. Model Evolution.mp4 (86.4 MB)
8. Scikit Learn.mp4 (89.0 MB)
9. Loading the Data.mp4 (73.2 MB)
Bonus Resources.txt (0.4 KB)