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| [TGx]Downloaded from torrentgalaxy.to .txt |
585B |
| 0 |
192B |
| 1 |
1.15KB |
| 1.1 Material.zip |
27.23KB |
| 1.1 Material.zip |
25.71KB |
| 1.1 Material.zip |
1.67KB |
| 1. Case Study 1 with Scikit Learn Library.mp4 |
278.07MB |
| 1. Case Study 1 with Scikit Learn Library.srt |
42.79KB |
| 1. Collection of Data and Tools to Collect Data.mp4 |
108.05MB |
| 1. Collection of Data and Tools to Collect Data.srt |
19.13KB |
| 1. Data Processing, Analytic and Manipulation with Pandas.mp4 |
14.29MB |
| 1. Data Processing, Analytic and Manipulation with Pandas.srt |
2.87KB |
| 1. How to Learn Mathematics for Machine Learning.mp4 |
40.76MB |
| 1. How to Learn Mathematics for Machine Learning.srt |
7.86KB |
| 1. Importance of Data Visualization.mp4 |
29.93MB |
| 1. Importance of Data Visualization.srt |
5.75KB |
| 1. Introduction of ML.mp4 |
1.31MB |
| 1. Introduction of ML.srt |
0B |
| 1. Introduction of Python.mp4 |
58.92MB |
| 1. Introduction of Python.srt |
9.91KB |
| 1. Linear Regression.mp4 |
50.94MB |
| 1. Linear Regression.srt |
7.91KB |
| 1. Operations Possible on Data with Numpy.mp4 |
8.19MB |
| 1. Operations Possible on Data with Numpy.srt |
2.06KB |
| 1. Statistical Data Analysis.mp4 |
39.36MB |
| 1. Statistical Data Analysis.srt |
6.20KB |
| 1. Why to join this course.mp4 |
21.54MB |
| 1. Why to join this course.srt |
1.60KB |
| 10 |
212.49KB |
| 10. Seaborn Library Tutorial 3.mp4 |
42.03MB |
| 10. Seaborn Library Tutorial 3.srt |
4.96KB |
| 10. Tuple Operations in details.mp4 |
42.86MB |
| 10. Tuple Operations in details.srt |
6.68KB |
| 11 |
143.03KB |
| 11.1 Plotly.zip |
2.43KB |
| 11. Plotly Library Tutorial.mp4 |
318.67MB |
| 11. Plotly Library Tutorial.srt |
39.92KB |
| 11. String Operation in Python.mp4 |
53.32MB |
| 11. String Operation in Python.srt |
9.52KB |
| 12 |
970.28KB |
| 12. Types of Operators.mp4 |
51.18MB |
| 12. Types of Operators.srt |
9.50KB |
| 13 |
259.41KB |
| 13. Generation of Random Number and Range Functions.mp4 |
53.00MB |
| 13. Generation of Random Number and Range Functions.srt |
8.32KB |
| 14 |
782.34KB |
| 14. Data Type Conversion.mp4 |
68.31MB |
| 14. Data Type Conversion.srt |
11.45KB |
| 15 |
1002.11KB |
| 15. Math library.mp4 |
25.90MB |
| 15. Math library.srt |
4.95KB |
| 16 |
118.78KB |
| 16. Importance of Indentation.mp4 |
37.97MB |
| 16. Importance of Indentation.srt |
6.48KB |
| 17 |
864.46KB |
| 17. Sequential, Selection, Repetition.mp4 |
52.42MB |
| 17. Sequential, Selection, Repetition.srt |
13.57KB |
| 18 |
962.00KB |
| 18. User Define Functions and inbuilt Function.mp4 |
41.30MB |
| 18. User Define Functions and inbuilt Function.srt |
8.14KB |
| 19 |
225.49KB |
| 19. Python CSV file Operations.mp4 |
61.42MB |
| 19. Python CSV file Operations.srt |
7.82KB |
| 2 |
62B |
| 2.1 Material.zip |
23.72KB |
| 2.1 Material.zip |
13.37KB |
| 2.1 Material.zip |
3.81KB |
| 2.1 Support file for Practice.zip |
214.09KB |
| 2. Case Study 2 with Scikit Learn Library.mp4 |
411.82MB |
| 2. Case Study 2 with Scikit Learn Library.srt |
60.57KB |
| 2. Environment Set up.mp4 |
40.56MB |
| 2. Environment Set up.srt |
8.38KB |
| 2. How to choose the RIGHT Charts & Graph for your Data.mp4 |
87.02MB |
| 2. How to choose the RIGHT Charts & Graph for your Data.srt |
8.75KB |
| 2. Importance of Data Analysis and Data Science.mp4 |
55.58MB |
| 2. Importance of Data Analysis and Data Science.srt |
8.22KB |
| 2. Logistic Regression.mp4 |
88.24MB |
| 2. Logistic Regression.srt |
14.39KB |
| 2. Main Challenges of Machine Learning.mp4 |
45.20MB |
| 2. Main Challenges of Machine Learning.srt |
9.86KB |
| 2. Mega Mart Example for Increase Sale.mp4 |
74.78MB |
| 2. Mega Mart Example for Increase Sale.srt |
15.93KB |
| 2. Numpy Library Tutorial 1.mp4 |
218.15MB |
| 2. Numpy Library Tutorial 1.srt |
40.15KB |
| 2. Pandas Tutorial 1.mp4 |
189.53MB |
| 2. Pandas Tutorial 1.srt |
30.33KB |
| 2. What is Machine Learning.mp4 |
126.81MB |
| 2. What is Machine Learning.srt |
10.29KB |
| 20 |
713.44KB |
| 20.1 Programs.zip |
4.08KB |
| 20. Python Crash Course.mp4 |
254.41MB |
| 20. Python Crash Course.srt |
45.16KB |
| 21 |
592.33KB |
| 22 |
216.56KB |
| 23 |
710.22KB |
| 24 |
407.78KB |
| 25 |
832.98KB |
| 26 |
956.62KB |
| 27 |
594.80KB |
| 28 |
587.48KB |
| 29 |
83.29KB |
| 3 |
25B |
| 3.1 .ipynb files.zip |
261.41KB |
| 3.1 ipynp files.zip |
179.21KB |
| 3.1 Material.zip |
1.36KB |
| 3.1 Material.zip |
23.93KB |
| 3. Data Type, Variable and Keywords.mp4 |
64.60MB |
| 3. Data Type, Variable and Keywords.srt |
12.13KB |
| 3. Introduction of Machine Learning.mp4 |
60.43MB |
| 3. Introduction of Machine Learning.srt |
14.78KB |
| 3. Matplotlib Library Tutorial 1.mp4 |
204.21MB |
| 3. Matplotlib Library Tutorial 1.srt |
30.33KB |
| 3. Numpy Library Tutorial 2.mp4 |
79.06MB |
| 3. Numpy Library Tutorial 2.srt |
12.97KB |
| 3. Pandas Tutorial 2.mp4 |
142.61MB |
| 3. Pandas Tutorial 2.srt |
19.47KB |
| 3. Reasons to Learn Probability for Machine Learning.mp4 |
42.02MB |
| 3. Reasons to Learn Probability for Machine Learning.srt |
5.08KB |
| 3. Supervise Machine Learning.mp4 |
25.49MB |
| 3. Supervise Machine Learning.srt |
3.17KB |
| 3. Support Vector Machines (SVM).mp4 |
71.42MB |
| 3. Support Vector Machines (SVM).srt |
14.89KB |
| 3. Why Mega Mart Gives Discount.mp4 |
36.56MB |
| 3. Why Mega Mart Gives Discount.srt |
8.27KB |
| 30 |
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| 31 |
83.18KB |
| 32 |
426.96KB |
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698.91KB |
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1018.97KB |
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589.76KB |
| 36 |
842.17KB |
| 37 |
59.68KB |
| 38 |
132.69KB |
| 39 |
814.93KB |
| 4 |
849.46KB |
| 4.1 Material.zip |
15.72KB |
| 4.1 Material.zip |
1.01MB |
| 4. Confusion Matrix with Covid 19 Patients Data.mp4 |
36.24MB |
| 4. Confusion Matrix with Covid 19 Patients Data.srt |
13.15KB |
| 4. Dimention Reduction is Curse in Machin Learning.mp4 |
63.07MB |
| 4. Dimention Reduction is Curse in Machin Learning.srt |
7.62KB |
| 4. How to produce output Print Statement in Python.mp4 |
28.84MB |
| 4. How to produce output Print Statement in Python.srt |
4.24KB |
| 4. Introduction of Big Data.mp4 |
56.37MB |
| 4. Introduction of Big Data.srt |
11.37KB |
| 4. K Mean Algorithm.mp4 |
49.87MB |
| 4. K Mean Algorithm.srt |
8.14KB |
| 4. Matplotlib Library Tutorial 2.mp4 |
55.92MB |
| 4. Matplotlib Library Tutorial 2.srt |
8.81KB |
| 4. Numpy Library Tutorial 3.mp4 |
108.86MB |
| 4. Numpy Library Tutorial 3.srt |
17.01KB |
| 4. Pandas Tutorial 3.mp4 |
91.75MB |
| 4. Pandas Tutorial 3.srt |
13.86KB |
| 4. Training, Testing and Model Evaluation in Machine Learning.mp4 |
29.91MB |
| 4. Training, Testing and Model Evaluation in Machine Learning.srt |
8.23KB |
| 40 |
486.17KB |
| 41 |
140.76KB |
| 42 |
357.46KB |
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996.77KB |
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1000.05KB |
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715.44KB |
| 46 |
247.86KB |
| 47 |
447.36KB |
| 48 |
650.94KB |
| 49 |
34.06KB |
| 5 |
805.11KB |
| 5.1 Material.zip |
436.30KB |
| 5.1 Material.zip |
23.82KB |
| 5. How to take input .mp4 |
19.62MB |
| 5. How to take input .srt |
3.91KB |
| 5. KNN Algorithm.mp4 |
86.88MB |
| 5. KNN Algorithm.srt |
12.04KB |
| 5. Matplotlib Library Tutorial 3.mp4 |
69.79MB |
| 5. Matplotlib Library Tutorial 3.srt |
9.58KB |
| 5. Numpy Library Tutorial 4.mp4 |
72.30MB |
| 5. Numpy Library Tutorial 4.srt |
9.39KB |
| 5. Pandas Tutorial 4.mp4 |
152.61MB |
| 5. Pandas Tutorial 4.srt |
23.31KB |
| 50 |
449.61KB |
| 51 |
782.40KB |
| 52 |
867.24KB |
| 53 |
70.40KB |
| 54 |
89.49KB |
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166.04KB |
| 56 |
509.42KB |
| 57 |
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| 58 |
103.13KB |
| 59 |
174.04KB |
| 6 |
483.83KB |
| 6. List, Tuple, Set, Dictionary.mp4 |
18.47MB |
| 6. List, Tuple, Set, Dictionary.srt |
3.89KB |
| 6. Matplotlib Library Tutorial 4.mp4 |
42.65MB |
| 6. Matplotlib Library Tutorial 4.srt |
6.07KB |
| 6. Numpy Library Tutorial 5.mp4 |
43.53MB |
| 6. Numpy Library Tutorial 5.srt |
5.55KB |
| 60 |
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| 61 |
427.67KB |
| 62 |
471.92KB |
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387.41KB |
| 64 |
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| 65 |
545.38KB |
| 66 |
729.34KB |
| 67 |
830.58KB |
| 68 |
704.77KB |
| 7 |
395.11KB |
| 7. List Operations in details.mp4 |
63.19MB |
| 7. List Operations in details.srt |
10.53KB |
| 7. Matplotlib Library Tutorial 5.mp4 |
36.15MB |
| 7. Matplotlib Library Tutorial 5.srt |
3.86KB |
| 7. Numpy Library Tutorial 6.mp4 |
24.58MB |
| 7. Numpy Library Tutorial 6.srt |
3.32KB |
| 8 |
401.90KB |
| 8.1 .ipynb files.zip |
2.28KB |
| 8. Numpy Library Tutorial 7.mp4 |
19.06MB |
| 8. Numpy Library Tutorial 7.srt |
4.11KB |
| 8. Seaborn Library Tutorial 1.mp4 |
82.16MB |
| 8. Seaborn Library Tutorial 1.srt |
14.40KB |
| 8. Set Operations in details.mp4 |
26.08MB |
| 8. Set Operations in details.srt |
4.40KB |
| 9 |
191.87KB |
| 9. Dictionary Operations in details.mp4 |
28.50MB |
| 9. Dictionary Operations in details.srt |
4.46KB |
| 9. Numpy Official Site Visit.mp4 |
25.83MB |
| 9. Numpy Official Site Visit.srt |
2.93KB |
| 9. Seaborn Library Tutorial 2.mp4 |
113.79MB |
| 9. Seaborn Library Tutorial 2.srt |
15.56KB |
| TutsNode.com.txt |
63B |