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| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
| 1.1 .ipybb file and csv files.zip |
47.56Кб |
| 1.1 .ipynb files.zip |
261.41Кб |
| 1.1 .ipynb files.zip |
2.28Кб |
| 1.1 .ipynb files for Practice of Advance Python.zip |
248.93Кб |
| 1.1 .ipynb files for Practice of Scipy Library.zip |
1.38Кб |
| 1.1 Plotly.zip |
2.43Кб |
| 1.1 Programs.zip |
4.08Кб |
| 1.1 Support file for Practice.zip |
214.09Кб |
| 1. Artificial Intelligence Introduction.mp4 |
58.24Мб |
| 1. Artificial Intelligence Introduction.srt |
3.88Кб |
| 1. Brief Introduction of Python.mp4 |
34.14Мб |
| 1. Brief Introduction of Python.srt |
1.88Кб |
| 1. Collection Module.mp4 |
91.68Мб |
| 1. Collection Module.srt |
11.61Кб |
| 1. Course Introduction in Animation.mp4 |
25.63Мб |
| 1. Course Introduction in Animation.srt |
0б |
| 1. Matplotlib Library Tutorial 1.mp4 |
204.27Мб |
| 1. Matplotlib Library Tutorial 1.srt |
30.33Кб |
| 1. Numpy Library Tutorial 1.mp4 |
218.05Мб |
| 1. Numpy Library Tutorial 1.srt |
40.15Кб |
| 1. Pandas Tutorial 1.mp4 |
52.90Мб |
| 1. Pandas Tutorial 1.srt |
10.22Кб |
| 1. Plotly Library Tutorial.mp4 |
318.82Мб |
| 1. Plotly Library Tutorial.srt |
39.92Кб |
| 1. Python Crash Course.mp4 |
254.41Мб |
| 1. Python Crash Course.srt |
45.17Кб |
| 1. Scipy Tutorial.mp4 |
19.99Мб |
| 1. Scipy Tutorial.srt |
3.14Кб |
| 1. Seaborn Library Tutorial 1.mp4 |
82.14Мб |
| 1. Seaborn Library Tutorial 1.srt |
14.40Кб |
| 1. Tips to Start Project in Data Science.mp4 |
66.99Мб |
| 1. Tips to Start Project in Data Science.srt |
8.08Кб |
| 1. Training, Testing and Model Evaluation in Machine Learning.mp4 |
29.91Мб |
| 1. Training, Testing and Model Evaluation in Machine Learning.srt |
8.23Кб |
| 10.1 Material.zip |
436.30Кб |
| 10. Case Study with KNN Algorithm.mp4 |
86.93Мб |
| 10. Case Study with KNN Algorithm.srt |
12.04Кб |
| 10. Lambda, Map, Filter and Reduce Function.mp4 |
62.41Мб |
| 10. Lambda, Map, Filter and Reduce Function.srt |
9.90Кб |
| 10. Tuple Operations in details.mp4 |
42.87Мб |
| 10. Tuple Operations in details.srt |
6.68Кб |
| 11.1 Material.zip |
1.24Кб |
| 11. NLP Tutorial.mp4 |
36.95Мб |
| 11. NLP Tutorial.srt |
5.86Кб |
| 11. Python Queue.mp4 |
31.09Мб |
| 11. Python Queue.srt |
5.95Кб |
| 11. Set Operations in details.mp4 |
26.08Мб |
| 11. Set Operations in details.srt |
4.40Кб |
| 12.1 Material.zip |
13.37Кб |
| 12. Case Study with Scikit Learn Library.mp4 |
411.80Мб |
| 12. Case Study with Scikit Learn Library.srt |
60.57Кб |
| 12. Dictionary Operations in details.mp4 |
28.48Мб |
| 12. Dictionary Operations in details.srt |
4.46Кб |
| 12. isinstance, Use of format, Timeit(), round(), Slice and abs().mp4 |
53.71Мб |
| 12. isinstance, Use of format, Timeit(), round(), Slice and abs().srt |
8.24Кб |
| 13.1 Material.zip |
25.71Кб |
| 13. Case Study with Scikit Learn Library.mp4 |
278.04Мб |
| 13. Case Study with Scikit Learn Library.srt |
42.79Кб |
| 13. Data Type Conversion.mp4 |
68.32Мб |
| 13. Data Type Conversion.srt |
11.45Кб |
| 13. Zip Function.mp4 |
17.14Мб |
| 13. Zip Function.srt |
3.08Кб |
| 14. eval(),exec(),repr() function.mp4 |
27.53Мб |
| 14. eval(),exec(),repr() function.srt |
5.60Кб |
| 14. Importance of Indentation.mp4 |
37.96Мб |
| 14. Importance of Indentation.srt |
6.48Кб |
| 15. Random Number, Range Function.mp4 |
53.02Мб |
| 15. Random Number, Range Function.srt |
8.32Кб |
| 15. Switch Case.mp4 |
21.07Мб |
| 15. Switch Case.srt |
3.21Кб |
| 16. Sequential, Selection & Repetition -for, while, break, continue, if-elif else.mp4 |
52.43Мб |
| 16. Sequential, Selection & Repetition -for, while, break, continue, if-elif else.srt |
13.57Кб |
| 16. Ternary Operator.mp4 |
22.52Мб |
| 16. Ternary Operator.srt |
4.21Кб |
| 17. Math Library.mp4 |
25.90Мб |
| 17. Math Library.srt |
4.95Кб |
| 17. Object Oriented Programming (OOP).mp4 |
44.61Мб |
| 17. Object Oriented Programming (OOP).srt |
7.26Кб |
| 18. Datetime and Calendar Module.mp4 |
44.02Мб |
| 18. Datetime and Calendar Module.srt |
6.43Кб |
| 19. Create, Edit, Write, Read Text File.mp4 |
22.20Мб |
| 19. Create, Edit, Write, Read Text File.srt |
4.48Кб |
| 2.1 Material.zip |
1.23Мб |
| 2. AI powered Unmanned Ground Vehicle UGV.mp4 |
46.97Мб |
| 2. AI powered Unmanned Ground Vehicle UGV.srt |
2.50Кб |
| 2. Case Study of Suicides in India 2001-2012.mp4 |
86.87Мб |
| 2. Case Study of Suicides in India 2001-2012.srt |
10.27Кб |
| 2. Matplotlib Library Tutorial 2.mp4 |
55.93Мб |
| 2. Matplotlib Library Tutorial 2.srt |
8.81Кб |
| 2. Numpy Library Tutorial 2.mp4 |
79.06Мб |
| 2. Numpy Library Tutorial 2.srt |
12.97Кб |
| 2. Pandas Tutorial 2.mp4 |
22.01Мб |
| 2. Pandas Tutorial 2.srt |
5.09Кб |
| 2. Python Regular Expression (RegEx).mp4 |
30.27Мб |
| 2. Python Regular Expression (RegEx).srt |
5.62Кб |
| 2. Scipy Official Site.mp4 |
27.02Мб |
| 2. Scipy Official Site.srt |
2.91Кб |
| 2. Seaborn Library Tutorial 2.mp4 |
113.88Мб |
| 2. Seaborn Library Tutorial 2.srt |
15.57Кб |
| 2. Set Up Environment Google Colab.mp4 |
40.58Мб |
| 2. Set Up Environment Google Colab.srt |
8.38Кб |
| 2. Supervised Learning.mp4 |
25.78Мб |
| 2. Supervised Learning.srt |
40б |
| 2. Why to join this course.mp4 |
21.56Мб |
| 2. Why to join this course.srt |
1.60Кб |
| 20. Exception Handling in Python.mp4 |
47.36Мб |
| 20. Exception Handling in Python.srt |
10.05Кб |
| 3.1 .ipynb files.zip |
133.84Кб |
| 3.1 .ipynb files for Practice of Basic Python.zip |
158.21Кб |
| 3.1 Material.zip |
1.17Мб |
| 3.1 UGV Flow Chart.pdf |
70.57Кб |
| 3. Case Study on Google Review using various different plot using Matplotlib.mp4 |
58.01Мб |
| 3. Case Study on Google Review using various different plot using Matplotlib.srt |
6.72Кб |
| 3. Data Type and Variable, Keywords.mp4 |
64.61Мб |
| 3. Data Type and Variable, Keywords.srt |
12.13Кб |
| 3. Introduction of Python and Python Libraries.mp4 |
62.73Мб |
| 3. Introduction of Python and Python Libraries.srt |
9.94Кб |
| 3. List Comprehension, Frozensets and Assertion.mp4 |
67.05Мб |
| 3. Matplotlib Library Tutorial 3.mp4 |
42.65Мб |
| 3. Matplotlib Library Tutorial 3.srt |
6.07Кб |
| 3. Numpy Library Tutorial 3.mp4 |
108.88Мб |
| 3. Numpy Library Tutorial 3.srt |
17.01Кб |
| 3. Pandas Tutorial 3.mp4 |
29.21Мб |
| 3. Pandas Tutorial 3.srt |
5.33Кб |
| 3. Seaborn Library Tutorial 3.mp4 |
42.01Мб |
| 3. Seaborn Library Tutorial 3.srt |
4.96Кб |
| 3. UGV Flow Chart.mp4 |
119.28Мб |
| 3. UGV Flow Chart.srt |
22.80Кб |
| 3. Unsupervised Learning.mp4 |
31.69Мб |
| 3. Unsupervised Learning.srt |
4.02Кб |
| 4.1 Material.zip |
27.47Кб |
| 4. AI Design Part 1 Unmanned Ground Vehicle Path Finding.mp4 |
61.54Мб |
| 4. AI Design Part 1 Unmanned Ground Vehicle Path Finding.srt |
16.70Кб |
| 4. Case Study of Titanic Dataset.mp4 |
75.22Мб |
| 4. Case Study of Titanic Dataset.srt |
9.50Кб |
| 4. How to take input.mp4 |
19.62Мб |
| 4. How to take input.srt |
3.91Кб |
| 4. Matplotlib Library Tutorial 4.mp4 |
69.75Мб |
| 4. Matplotlib Library Tutorial 4.srt |
9.58Кб |
| 4. Meet Trainer for this Course.mp4 |
12.63Мб |
| 4. Meet Trainer for this Course.srt |
1.34Кб |
| 4. Numpy Library Tutorial 4.mp4 |
72.25Мб |
| 4. Numpy Library Tutorial 4.srt |
9.39Кб |
| 4. Pandas Tutorial 4.mp4 |
26.63Мб |
| 4. Pandas Tutorial 4.srt |
5.06Кб |
| 4. Python CSV file Operations.mp4 |
61.44Мб |
| 4. Python CSV file Operations.srt |
7.82Кб |
| 4. Reinforcement Learning.mp4 |
25.17Мб |
| 4. Reinforcement Learning.srt |
2.72Кб |
| 5.1 Material.zip |
27.23Кб |
| 5. AI Design Part 2 Bellman Equation.mp4 |
40.78Мб |
| 5. AI Design Part 2 Bellman Equation.srt |
10.74Кб |
| 5. Case Study with Linear Regression.mp4 |
50.97Мб |
| 5. Case Study with Linear Regression.srt |
7.91Кб |
| 5. Data Science Introduction.mp4 |
89.57Мб |
| 5. Data Science Introduction.srt |
12.16Кб |
| 5. Matplotlib Library Tutorial 5.mp4 |
36.15Мб |
| 5. Matplotlib Library Tutorial 5.srt |
3.86Кб |
| 5. Numpy Library Tutorial 5.mp4 |
43.52Мб |
| 5. Numpy Library Tutorial 5.srt |
5.55Кб |
| 5. Pandas Tutorial 5.mp4 |
21.28Мб |
| 5. Pandas Tutorial 5.srt |
4.64Кб |
| 5. Print Statement and How to produce output.mp4 |
28.85Мб |
| 5. Print Statement and How to produce output.srt |
4.24Кб |
| 5. User Define Functions and inbuilt Function.mp4 |
41.33Мб |
| 5. User Define Functions and inbuilt Function.srt |
8.14Кб |
| 6.1 Material.zip |
23.72Кб |
| 6. AI Design Part 3 Markov Decision Tree.mp4 |
69.67Мб |
| 6. AI Design Part 3 Markov Decision Tree.srt |
16.29Кб |
| 6. Case Study with Logistic Regression.mp4 |
88.21Мб |
| 6. Case Study with Logistic Regression.srt |
14.39Кб |
| 6. Introduction to List, Tuple, Dictionary, Set.mp4 |
18.47Мб |
| 6. Introduction to List, Tuple, Dictionary, Set.srt |
3.89Кб |
| 6. Iterator.mp4 |
26.88Мб |
| 6. Iterator.srt |
6.33Кб |
| 6. Numpy Library Tutorial 6.mp4 |
24.60Мб |
| 6. Numpy Library Tutorial 6.srt |
3.32Кб |
| 6. Pandas Tutorial 6.mp4 |
61.06Мб |
| 6. Pandas Tutorial 6.srt |
7.92Кб |
| 7.1 Material.zip |
1.36Кб |
| 7. AI Design Part 4 Q Learning.mp4 |
43.60Мб |
| 7. AI Design Part 4 Q Learning.srt |
11.47Кб |
| 7. Case Study with Support Vector Machines (SVM).mp4 |
71.38Мб |
| 7. Case Study with Support Vector Machines (SVM).srt |
14.89Кб |
| 7. Generator and decorators.mp4 |
62.60Мб |
| 7. Generator and decorators.srt |
11.16Кб |
| 7. Numpy Library Tutorial 7.mp4 |
19.05Мб |
| 7. Numpy Library Tutorial 7.srt |
4.11Кб |
| 7. Pandas Tutorial 7.mp4 |
44.76Мб |
| 7. Pandas Tutorial 7.srt |
6.05Кб |
| 7. String Operations.mp4 |
53.33Мб |
| 7. String Operations.srt |
9.52Кб |
| 8.1 Material.zip |
3.94Мб |
| 8. AI for Part 5 Code for Displaying Path.mp4 |
40.28Мб |
| 8. AI for Part 5 Code for Displaying Path.srt |
8.47Кб |
| 8. Case Study with Support Vector Machines (SVM).mp4 |
60.10Мб |
| 8. Case Study with Support Vector Machines (SVM).srt |
6.66Кб |
| 8. Global and local Variables in Functions.mp4 |
19.39Мб |
| 8. Global and local Variables in Functions.srt |
3.62Кб |
| 8. Numpy Official Site Visit.mp4 |
25.85Мб |
| 8. Numpy Official Site Visit.srt |
2.93Кб |
| 8. Operators in details.mp4 |
51.18Мб |
| 8. Operators in details.srt |
9.50Кб |
| 8. Pandas Tutorial 8.mp4 |
24.57Мб |
| 8. Pandas Tutorial 8.srt |
3.79Кб |
| 9.1 Code of UGV using AI.zip |
345.47Кб |
| 9.1 Material.zip |
1.01Мб |
| 9. AI for Part 6 Explanation of Code.mp4 |
33.06Мб |
| 9. AI for Part 6 Explanation of Code.srt |
4.81Кб |
| 9. Case Study with K Mean Algorithm.mp4 |
49.86Мб |
| 9. Case Study with K Mean Algorithm.srt |
8.14Кб |
| 9. List Operations in details.mp4 |
63.19Мб |
| 9. List Operations in details.srt |
10.53Кб |
| 9. Pandas Tutorial 9.mp4 |
22.87Мб |
| 9. Pandas Tutorial 9.srt |
2.75Кб |
| 9. Python Logging Module.mp4 |
19.08Мб |
| 9. Python Logging Module.srt |
3.31Кб |
| TutsNode.com.txt |
63б |