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1. Artificial Intelligence Introduction.mp4
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58.2 MB
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1. Brief Introduction of Python.mp4
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34.1 MB
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1. Brief Introduction of Python.srt
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1. Collection Module.mp4
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91.7 MB
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1. Collection Module.srt
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11.6 KB
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1. Course Introduction in Animation.mp4
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25.6 MB
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1. Course Introduction in Animation.srt
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1. Matplotlib Library Tutorial 1.mp4
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204.3 MB
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1. Matplotlib Library Tutorial 1.srt
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30.3 KB
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1. Numpy Library Tutorial 1.mp4
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218.1 MB
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1. Numpy Library Tutorial 1.srt
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40.1 KB
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1. Pandas Tutorial 1.mp4
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52.9 MB
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1. Pandas Tutorial 1.srt
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10.2 KB
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1. Plotly Library Tutorial.mp4
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318.8 MB
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1. Plotly Library Tutorial.srt
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39.9 KB
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1. Python Crash Course.mp4
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254.4 MB
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1. Python Crash Course.srt
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45.2 KB
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1. Scipy Tutorial.mp4
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20 MB
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1. Scipy Tutorial.srt
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3.1 KB
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1. Seaborn Library Tutorial 1.mp4
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82.1 MB
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1. Seaborn Library Tutorial 1.srt
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14.4 KB
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1. Tips to Start Project in Data Science.mp4
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67 MB
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1. Tips to Start Project in Data Science.srt
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1. Training, Testing and Model Evaluation in Machine Learning.mp4
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29.9 MB
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1. Training, Testing and Model Evaluation in Machine Learning.srt
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8.2 KB
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1.1 .ipybb file and csv files.zip
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1.1 .ipynb files for Practice of Advance Python.zip
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248.9 KB
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1.1 .ipynb files for Practice of Scipy Library.zip
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1.4 KB
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1.1 .ipynb files.zip
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1.1 Plotly.zip
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1.1 Programs.zip
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1.1 Support file for Practice.zip
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214.1 KB
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10. Case Study with KNN Algorithm.mp4
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86.9 MB
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10. Case Study with KNN Algorithm.srt
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12 KB
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10. Lambda, Map, Filter and Reduce Function.mp4
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62.4 MB
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10. Lambda, Map, Filter and Reduce Function.srt
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10. Tuple Operations in details.mp4
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42.9 MB
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10. Tuple Operations in details.srt
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6.7 KB
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10.1 Material.zip
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436.3 KB
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11. NLP Tutorial.mp4
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36.9 MB
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11. NLP Tutorial.srt
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11. Python Queue.mp4
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31.1 MB
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11. Python Queue.srt
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6 KB
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11. Set Operations in details.mp4
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26.1 MB
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11. Set Operations in details.srt
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11.1 Material.zip
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12. Case Study with Scikit Learn Library.mp4
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411.8 MB
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12. Case Study with Scikit Learn Library.srt
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60.6 KB
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12. Dictionary Operations in details.mp4
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28.5 MB
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12. Dictionary Operations in details.srt
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12. isinstance, Use of format, Timeit(), round(), Slice and abs().mp4
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53.7 MB
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12. isinstance, Use of format, Timeit(), round(), Slice and abs().srt
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8.2 KB
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12.1 Material.zip
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13.4 KB
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13. Case Study with Scikit Learn Library.mp4
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278 MB
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13. Case Study with Scikit Learn Library.srt
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42.8 KB
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13. Data Type Conversion.mp4
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68.3 MB
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13. Data Type Conversion.srt
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11.5 KB
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13. Zip Function.mp4
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17.1 MB
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13. Zip Function.srt
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3.1 KB
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13.1 Material.zip
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25.7 KB
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14. Importance of Indentation.mp4
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38 MB
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14. Importance of Indentation.srt
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14. eval(),exec(),repr() function.mp4
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27.5 MB
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14. eval(),exec(),repr() function.srt
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15. Random Number, Range Function.mp4
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53 MB
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15. Random Number, Range Function.srt
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15. Switch Case.mp4
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21.1 MB
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15. Switch Case.srt
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16. Sequential, Selection & Repetition -for, while, break, continue, if-elif else.mp4
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52.4 MB
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16. Sequential, Selection & Repetition -for, while, break, continue, if-elif else.srt
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13.6 KB
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16. Ternary Operator.mp4
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22.5 MB
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16. Ternary Operator.srt
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17. Math Library.mp4
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25.9 MB
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17. Math Library.srt
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5 KB
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17. Object Oriented Programming (OOP).mp4
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44.6 MB
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17. Object Oriented Programming (OOP).srt
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18. Datetime and Calendar Module.mp4
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44 MB
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18. Datetime and Calendar Module.srt
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19. Create, Edit, Write, Read Text File.mp4
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22.2 MB
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19. Create, Edit, Write, Read Text File.srt
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2. AI powered Unmanned Ground Vehicle UGV.mp4
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47 MB
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2. AI powered Unmanned Ground Vehicle UGV.srt
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2.5 KB
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2. Case Study of Suicides in India 2001-2012.mp4
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86.9 MB
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2. Case Study of Suicides in India 2001-2012.srt
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10.3 KB
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2. Matplotlib Library Tutorial 2.mp4
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55.9 MB
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2. Matplotlib Library Tutorial 2.srt
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2. Numpy Library Tutorial 2.mp4
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79.1 MB
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2. Numpy Library Tutorial 2.srt
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13 KB
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2. Pandas Tutorial 2.mp4
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22 MB
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2. Pandas Tutorial 2.srt
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2. Python Regular Expression (RegEx).mp4
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30.3 MB
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2. Python Regular Expression (RegEx).srt
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2. Scipy Official Site.mp4
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27 MB
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2. Scipy Official Site.srt
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2. Seaborn Library Tutorial 2.mp4
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113.9 MB
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2. Seaborn Library Tutorial 2.srt
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15.6 KB
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2. Set Up Environment Google Colab.mp4
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40.6 MB
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2. Set Up Environment Google Colab.srt
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8.4 KB
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2. Supervised Learning.mp4
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25.8 MB
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2. Supervised Learning.srt
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0 B
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2. Why to join this course.mp4
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21.6 MB
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2. Why to join this course.srt
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1.6 KB
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2.1 Material.zip
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1.2 MB
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20. Exception Handling in Python.mp4
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47.4 MB
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20. Exception Handling in Python.srt
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10 KB
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3. Case Study on Google Review using various different plot using Matplotlib.mp4
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58 MB
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3. Case Study on Google Review using various different plot using Matplotlib.srt
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3. Data Type and Variable, Keywords.mp4
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64.6 MB
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3. Data Type and Variable, Keywords.srt
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12.1 KB
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3. Introduction of Python and Python Libraries.mp4
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62.7 MB
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3. Introduction of Python and Python Libraries.srt
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9.9 KB
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3. List Comprehension, Frozensets and Assertion.mp4
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MP4
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67.1 MB
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3. Matplotlib Library Tutorial 3.mp4
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42.6 MB
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3. Matplotlib Library Tutorial 3.srt
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3. Numpy Library Tutorial 3.mp4
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108.9 MB
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3. Numpy Library Tutorial 3.srt
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17 KB
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3. Pandas Tutorial 3.mp4
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29.2 MB
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3. Pandas Tutorial 3.srt
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3. Seaborn Library Tutorial 3.mp4
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42 MB
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3. Seaborn Library Tutorial 3.srt
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5 KB
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3. UGV Flow Chart.mp4
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119.3 MB
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3. UGV Flow Chart.srt
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22.8 KB
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3. Unsupervised Learning.mp4
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31.7 MB
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3. Unsupervised Learning.srt
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4 KB
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3.1 .ipynb files for Practice of Basic Python.zip
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158.2 KB
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3.1 .ipynb files.zip
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133.8 KB
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3.1 Material.zip
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ZIP
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1.2 MB
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3.1 UGV Flow Chart.pdf
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PDF
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70.6 KB
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4. AI Design Part 1 Unmanned Ground Vehicle Path Finding.mp4
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MP4
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61.5 MB
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4. AI Design Part 1 Unmanned Ground Vehicle Path Finding.srt
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4. Case Study of Titanic Dataset.mp4
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75.2 MB
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4. Case Study of Titanic Dataset.srt
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4. How to take input.mp4
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19.6 MB
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4. How to take input.srt
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4. Matplotlib Library Tutorial 4.mp4
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69.7 MB
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4. Matplotlib Library Tutorial 4.srt
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4. Meet Trainer for this Course.mp4
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12.6 MB
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4. Meet Trainer for this Course.srt
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1.3 KB
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4. Numpy Library Tutorial 4.mp4
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72.3 MB
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4. Numpy Library Tutorial 4.srt
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9.4 KB
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4. Pandas Tutorial 4.mp4
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26.6 MB
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4. Pandas Tutorial 4.srt
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5.1 KB
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4. Python CSV file Operations.mp4
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61.4 MB
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4. Python CSV file Operations.srt
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4. Reinforcement Learning.mp4
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25.2 MB
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4. Reinforcement Learning.srt
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4.1 Material.zip
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27.5 KB
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5. AI Design Part 2 Bellman Equation.mp4
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MP4
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40.8 MB
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5. AI Design Part 2 Bellman Equation.srt
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5. Case Study with Linear Regression.mp4
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MP4
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51 MB
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5. Case Study with Linear Regression.srt
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7.9 KB
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5. Data Science Introduction.mp4
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MP4
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89.6 MB
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5. Data Science Introduction.srt
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12.2 KB
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5. Matplotlib Library Tutorial 5.mp4
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36.2 MB
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5. Matplotlib Library Tutorial 5.srt
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5. Numpy Library Tutorial 5.mp4
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43.5 MB
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5. Numpy Library Tutorial 5.srt
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5. Pandas Tutorial 5.mp4
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21.3 MB
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5. Pandas Tutorial 5.srt
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5. Print Statement and How to produce output.mp4
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28.8 MB
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5. Print Statement and How to produce output.srt
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5. User Define Functions and inbuilt Function.mp4
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41.3 MB
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5. User Define Functions and inbuilt Function.srt
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5.1 Material.zip
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27.2 KB
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6. AI Design Part 3 Markov Decision Tree.mp4
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MP4
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69.7 MB
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6. AI Design Part 3 Markov Decision Tree.srt
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16.3 KB
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6. Case Study with Logistic Regression.mp4
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MP4
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88.2 MB
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6. Case Study with Logistic Regression.srt
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14.4 KB
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6. Introduction to List, Tuple, Dictionary, Set.mp4
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18.5 MB
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6. Introduction to List, Tuple, Dictionary, Set.srt
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6. Iterator.mp4
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26.9 MB
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6. Iterator.srt
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6. Numpy Library Tutorial 6.mp4
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24.6 MB
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6. Numpy Library Tutorial 6.srt
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3.3 KB
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6. Pandas Tutorial 6.mp4
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MP4
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61.1 MB
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6. Pandas Tutorial 6.srt
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7.9 KB
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6.1 Material.zip
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23.7 KB
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7. AI Design Part 4 Q Learning.mp4
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MP4
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43.6 MB
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7. AI Design Part 4 Q Learning.srt
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11.5 KB
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7. Case Study with Support Vector Machines (SVM).mp4
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MP4
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71.4 MB
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7. Case Study with Support Vector Machines (SVM).srt
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14.9 KB
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7. Generator and decorators.mp4
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MP4
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62.6 MB
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7. Generator and decorators.srt
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11.2 KB
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7. Numpy Library Tutorial 7.mp4
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19 MB
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7. Numpy Library Tutorial 7.srt
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4.1 KB
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7. Pandas Tutorial 7.mp4
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44.8 MB
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7. Pandas Tutorial 7.srt
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6 KB
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7. String Operations.mp4
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MP4
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53.3 MB
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7. String Operations.srt
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SRT
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9.5 KB
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7.1 Material.zip
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1.4 KB
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8. AI for Part 5 Code for Displaying Path.mp4
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MP4
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40.3 MB
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8. AI for Part 5 Code for Displaying Path.srt
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8.5 KB
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8. Case Study with Support Vector Machines (SVM).mp4
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MP4
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60.1 MB
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8. Case Study with Support Vector Machines (SVM).srt
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6.7 KB
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8. Global and local Variables in Functions.mp4
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19.4 MB
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8. Global and local Variables in Functions.srt
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3.6 KB
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8. Numpy Official Site Visit.mp4
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25.8 MB
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8. Numpy Official Site Visit.srt
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SRT
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2.9 KB
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8. Operators in details.mp4
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MP4
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51.2 MB
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8. Operators in details.srt
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9.5 KB
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8. Pandas Tutorial 8.mp4
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24.6 MB
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8. Pandas Tutorial 8.srt
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SRT
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3.8 KB
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8.1 Material.zip
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ZIP
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3.9 MB
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9. AI for Part 6 Explanation of Code.mp4
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MP4
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33.1 MB
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9. AI for Part 6 Explanation of Code.srt
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4.8 KB
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9. Case Study with K Mean Algorithm.mp4
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MP4
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49.9 MB
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9. Case Study with K Mean Algorithm.srt
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8.1 KB
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9. List Operations in details.mp4
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MP4
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63.2 MB
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9. List Operations in details.srt
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10.5 KB
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9. Pandas Tutorial 9.mp4
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22.9 MB
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9. Pandas Tutorial 9.srt
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2.7 KB
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9. Python Logging Module.mp4
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MP4
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19.1 MB
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9. Python Logging Module.srt
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SRT
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3.3 KB
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9.1 Code of UGV using AI.zip
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ZIP
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345.5 KB
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9.1 Material.zip
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ZIP
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1 MB
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TutsNode.com.txt
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TXT
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102 B
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[TGx]Downloaded from torrentgalaxy.to .txt
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614 B
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