|
|
0
|
|
204.8 B
|
|
|
1. Collection of Data and Tools to Collect Data.mp4
|
MP4
|
108.1 MB
|
|
|
1. Data Processing, Analytic and Manipulation with Pandas.mp4
|
MP4
|
14.3 MB
|
|
|
1. Data Processing, Analytic and Manipulation with Pandas.srt
|
SRT
|
2.9 KB
|
|
|
1. How to Learn Mathematics for Machine Learning.mp4
|
MP4
|
40.8 MB
|
|
|
1. Importance of Data Visualization.mp4
|
MP4
|
29.9 MB
|
|
|
1. Importance of Data Visualization.srt
|
SRT
|
5.8 KB
|
|
|
1. Introduction of ML.srt
|
SRT
|
0 B
|
|
|
1. Introduction of Python.mp4
|
MP4
|
58.9 MB
|
|
|
1. Introduction of Python.srt
|
SRT
|
9.9 KB
|
|
|
1. Linear Regression.mp4
|
MP4
|
50.9 MB
|
|
|
1. Linear Regression.srt
|
SRT
|
7.9 KB
|
|
|
1. Statistical Data Analysis.mp4
|
MP4
|
39.4 MB
|
|
|
1. Statistical Data Analysis.srt
|
SRT
|
6.2 KB
|
|
|
1. Why to join this course.mp4
|
MP4
|
21.5 MB
|
|
|
1. Why to join this course.srt
|
SRT
|
1.6 KB
|
|
|
1
|
|
1.1 KB
|
|
|
1. Case Study 1 with Scikit Learn Library.mp4
|
MP4
|
278.1 MB
|
|
|
1. Case Study 1 with Scikit Learn Library.srt
|
SRT
|
42.8 KB
|
|
|
1. Collection of Data and Tools to Collect Data.srt
|
SRT
|
19.1 KB
|
|
|
1. How to Learn Mathematics for Machine Learning.srt
|
SRT
|
7.9 KB
|
|
|
1. Introduction of ML.mp4
|
MP4
|
1.3 MB
|
|
|
1. Operations Possible on Data with Numpy.mp4
|
MP4
|
8.2 MB
|
|
|
1. Operations Possible on Data with Numpy.srt
|
SRT
|
2.1 KB
|
|
|
1.1 Material.zip
|
ZIP
|
1.7 KB
|
|
|
2
|
|
102.4 B
|
|
|
10. Seaborn Library Tutorial 3.mp4
|
MP4
|
42 MB
|
|
|
10. Seaborn Library Tutorial 3.srt
|
SRT
|
5 KB
|
|
|
10. Tuple Operations in details.mp4
|
MP4
|
42.9 MB
|
|
|
10. Tuple Operations in details.srt
|
SRT
|
6.7 KB
|
|
|
11. Plotly Library Tutorial.mp4
|
MP4
|
318.7 MB
|
|
|
11. Plotly Library Tutorial.srt
|
SRT
|
39.9 KB
|
|
|
11. String Operation in Python.mp4
|
MP4
|
53.3 MB
|
|
|
11. String Operation in Python.srt
|
SRT
|
9.5 KB
|
|
|
11.1 Plotly.zip
|
ZIP
|
2.4 KB
|
|
|
12. Types of Operators.mp4
|
MP4
|
51.2 MB
|
|
|
12. Types of Operators.srt
|
SRT
|
9.5 KB
|
|
|
13. Generation of Random Number and Range Functions.mp4
|
MP4
|
53 MB
|
|
|
13. Generation of Random Number and Range Functions.srt
|
SRT
|
8.3 KB
|
|
|
14. Data Type Conversion.mp4
|
MP4
|
68.3 MB
|
|
|
14. Data Type Conversion.srt
|
SRT
|
11.5 KB
|
|
|
15. Math library.mp4
|
MP4
|
25.9 MB
|
|
|
15. Math library.srt
|
SRT
|
5 KB
|
|
|
16. Importance of Indentation.mp4
|
MP4
|
38 MB
|
|
|
16. Importance of Indentation.srt
|
SRT
|
6.5 KB
|
|
|
17. Sequential, Selection, Repetition.mp4
|
MP4
|
52.4 MB
|
|
|
17. Sequential, Selection, Repetition.srt
|
SRT
|
13.6 KB
|
|
|
18. User Define Functions and inbuilt Function.mp4
|
MP4
|
41.3 MB
|
|
|
18. User Define Functions and inbuilt Function.srt
|
SRT
|
8.1 KB
|
|
|
19. Python CSV file Operations.mp4
|
MP4
|
61.4 MB
|
|
|
19. Python CSV file Operations.srt
|
SRT
|
7.8 KB
|
|
|
2. Case Study 2 with Scikit Learn Library.mp4
|
MP4
|
411.8 MB
|
|
|
2. Case Study 2 with Scikit Learn Library.srt
|
SRT
|
60.6 KB
|
|
|
2. Environment Set up.mp4
|
MP4
|
40.6 MB
|
|
|
2. Environment Set up.srt
|
SRT
|
8.4 KB
|
|
|
2. How to choose the RIGHT Charts & Graph for your Data.mp4
|
MP4
|
87 MB
|
|
|
2. How to choose the RIGHT Charts & Graph for your Data.srt
|
SRT
|
8.8 KB
|
|
|
2. Importance of Data Analysis and Data Science.mp4
|
MP4
|
55.6 MB
|
|
|
2. Importance of Data Analysis and Data Science.srt
|
SRT
|
8.2 KB
|
|
|
2. Logistic Regression.mp4
|
MP4
|
88.2 MB
|
|
|
2. Logistic Regression.srt
|
SRT
|
14.4 KB
|
|
|
2. Main Challenges of Machine Learning.mp4
|
MP4
|
45.2 MB
|
|
|
2. Main Challenges of Machine Learning.srt
|
SRT
|
9.9 KB
|
|
|
2. Mega Mart Example for Increase Sale.mp4
|
MP4
|
74.8 MB
|
|
|
2. Mega Mart Example for Increase Sale.srt
|
SRT
|
15.9 KB
|
|
|
2. Numpy Library Tutorial 1.mp4
|
MP4
|
218.1 MB
|
|
|
2. Numpy Library Tutorial 1.srt
|
SRT
|
40.1 KB
|
|
|
2. Pandas Tutorial 1.mp4
|
MP4
|
189.5 MB
|
|
|
2. Pandas Tutorial 1.srt
|
SRT
|
30.3 KB
|
|
|
2. What is Machine Learning.mp4
|
MP4
|
126.8 MB
|
|
|
2. What is Machine Learning.srt
|
SRT
|
10.3 KB
|
|
|
2.1 Material.zip
|
ZIP
|
23.7 KB
|
|
|
2.1 Support file for Practice.zip
|
ZIP
|
214.1 KB
|
|
|
20. Python Crash Course.mp4
|
MP4
|
254.4 MB
|
|
|
20. Python Crash Course.srt
|
SRT
|
45.2 KB
|
|
|
20.1 Programs.zip
|
ZIP
|
4.1 KB
|
|
|
3. Data Type, Variable and Keywords.mp4
|
MP4
|
64.6 MB
|
|
|
3. Data Type, Variable and Keywords.srt
|
SRT
|
12.1 KB
|
|
|
3. Introduction of Machine Learning.mp4
|
MP4
|
60.4 MB
|
|
|
3. Matplotlib Library Tutorial 1.mp4
|
MP4
|
204.2 MB
|
|
|
3. Matplotlib Library Tutorial 1.srt
|
SRT
|
30.3 KB
|
|
|
3
|
|
0 B
|
|
|
3. Introduction of Machine Learning.srt
|
SRT
|
14.8 KB
|
|
|
3. Numpy Library Tutorial 2.mp4
|
MP4
|
79.1 MB
|
|
|
3. Numpy Library Tutorial 2.srt
|
SRT
|
13 KB
|
|
|
3. Pandas Tutorial 2.mp4
|
MP4
|
142.6 MB
|
|
|
3. Pandas Tutorial 2.srt
|
SRT
|
19.5 KB
|
|
|
3. Reasons to Learn Probability for Machine Learning.mp4
|
MP4
|
42 MB
|
|
|
3. Reasons to Learn Probability for Machine Learning.srt
|
SRT
|
5.1 KB
|
|
|
3. Supervise Machine Learning.mp4
|
MP4
|
25.5 MB
|
|
|
3. Supervise Machine Learning.srt
|
SRT
|
3.2 KB
|
|
|
3. Support Vector Machines (SVM).mp4
|
MP4
|
71.4 MB
|
|
|
3. Support Vector Machines (SVM).srt
|
SRT
|
14.9 KB
|
|
|
3. Why Mega Mart Gives Discount.mp4
|
MP4
|
36.6 MB
|
|
|
3. Why Mega Mart Gives Discount.srt
|
SRT
|
8.3 KB
|
|
|
3.1 .ipynb files.zip
|
ZIP
|
261.4 KB
|
|
|
3.1 Material.zip
|
ZIP
|
1.4 KB
|
|
|
3.1 ipynp files.zip
|
ZIP
|
179.2 KB
|
|
|
4. Confusion Matrix with Covid 19 Patients Data.mp4
|
MP4
|
36.2 MB
|
|
|
4. Confusion Matrix with Covid 19 Patients Data.srt
|
SRT
|
13.2 KB
|
|
|
4. Dimention Reduction is Curse in Machin Learning.mp4
|
MP4
|
63.1 MB
|
|
|
4. Dimention Reduction is Curse in Machin Learning.srt
|
SRT
|
7.6 KB
|
|
|
4. How to produce output Print Statement in Python.mp4
|
MP4
|
28.8 MB
|
|
|
4. How to produce output Print Statement in Python.srt
|
SRT
|
4.2 KB
|
|
|
4. Introduction of Big Data.mp4
|
MP4
|
56.4 MB
|
|
|
4. Introduction of Big Data.srt
|
SRT
|
11.4 KB
|
|
|
4. K Mean Algorithm.mp4
|
MP4
|
49.9 MB
|
|
|
4. K Mean Algorithm.srt
|
SRT
|
8.1 KB
|
|
|
4. Matplotlib Library Tutorial 2.mp4
|
MP4
|
55.9 MB
|
|
|
4. Matplotlib Library Tutorial 2.srt
|
SRT
|
8.8 KB
|
|
|
4. Numpy Library Tutorial 3.mp4
|
MP4
|
108.9 MB
|
|
|
4
|
|
849.5 KB
|
|
|
4. Numpy Library Tutorial 3.srt
|
SRT
|
17 KB
|
|
|
4. Pandas Tutorial 3.mp4
|
MP4
|
91.7 MB
|
|
|
4. Pandas Tutorial 3.srt
|
SRT
|
13.9 KB
|
|
|
4. Training, Testing and Model Evaluation in Machine Learning.mp4
|
MP4
|
29.9 MB
|
|
|
4. Training, Testing and Model Evaluation in Machine Learning.srt
|
SRT
|
8.2 KB
|
|
|
4.1 Material.zip
|
ZIP
|
1 MB
|
|
|
5
|
|
805.1 KB
|
|
|
5. How to take input .mp4
|
MP4
|
19.6 MB
|
|
|
5. How to take input .srt
|
SRT
|
3.9 KB
|
|
|
5. KNN Algorithm.mp4
|
MP4
|
86.9 MB
|
|
|
5. KNN Algorithm.srt
|
SRT
|
12 KB
|
|
|
5. Matplotlib Library Tutorial 3.mp4
|
MP4
|
69.8 MB
|
|
|
5. Matplotlib Library Tutorial 3.srt
|
SRT
|
9.6 KB
|
|
|
5. Numpy Library Tutorial 4.mp4
|
MP4
|
72.3 MB
|
|
|
5. Numpy Library Tutorial 4.srt
|
SRT
|
9.4 KB
|
|
|
5. Pandas Tutorial 4.mp4
|
MP4
|
152.6 MB
|
|
|
5. Pandas Tutorial 4.srt
|
SRT
|
23.3 KB
|
|
|
5.1 Material.zip
|
ZIP
|
436.3 KB
|
|
|
6
|
|
483.8 KB
|
|
|
6. List, Tuple, Set, Dictionary.mp4
|
MP4
|
18.5 MB
|
|
|
6. List, Tuple, Set, Dictionary.srt
|
SRT
|
3.9 KB
|
|
|
6. Matplotlib Library Tutorial 4.mp4
|
MP4
|
42.7 MB
|
|
|
6. Matplotlib Library Tutorial 4.srt
|
SRT
|
6.1 KB
|
|
|
6. Numpy Library Tutorial 5.mp4
|
MP4
|
43.5 MB
|
|
|
6. Numpy Library Tutorial 5.srt
|
SRT
|
5.6 KB
|
|
|
7
|
|
395.1 KB
|
|
|
7. List Operations in details.mp4
|
MP4
|
63.2 MB
|
|
|
7. List Operations in details.srt
|
SRT
|
10.5 KB
|
|
|
7. Matplotlib Library Tutorial 5.mp4
|
MP4
|
36.2 MB
|
|
|
7. Matplotlib Library Tutorial 5.srt
|
SRT
|
3.9 KB
|
|
|
7. Numpy Library Tutorial 6.mp4
|
MP4
|
24.6 MB
|
|
|
7. Numpy Library Tutorial 6.srt
|
SRT
|
3.3 KB
|
|
|
8. Numpy Library Tutorial 7.mp4
|
MP4
|
19.1 MB
|
|
|
8
|
|
401.9 KB
|
|
|
8. Numpy Library Tutorial 7.srt
|
SRT
|
4.1 KB
|
|
|
8. Seaborn Library Tutorial 1.mp4
|
MP4
|
82.2 MB
|
|
|
8. Seaborn Library Tutorial 1.srt
|
SRT
|
14.4 KB
|
|
|
8. Set Operations in details.mp4
|
MP4
|
26.1 MB
|
|
|
8. Set Operations in details.srt
|
SRT
|
4.4 KB
|
|
|
8.1 .ipynb files.zip
|
ZIP
|
2.3 KB
|
|
|
9. Dictionary Operations in details.mp4
|
MP4
|
28.5 MB
|
|
|
9. Dictionary Operations in details.srt
|
SRT
|
4.5 KB
|
|
|
9. Numpy Official Site Visit.mp4
|
MP4
|
25.8 MB
|
|
|
9. Numpy Official Site Visit.srt
|
SRT
|
2.9 KB
|
|
|
9. Seaborn Library Tutorial 2.mp4
|
MP4
|
113.8 MB
|
|
|
9. Seaborn Library Tutorial 2.srt
|
SRT
|
15.6 KB
|
|
|
TutsNode.com.txt
|
TXT
|
102.4 B
|
|
|
[TGx]Downloaded from torrentgalaxy.to .txt
|
TXT
|
614.4 B
|
|
|
9
|
|
191.9 KB
|
|
|
10
|
|
212.5 KB
|
|
|
11
|
|
143 KB
|
|
|
12
|
|
970.3 KB
|
|
|
13
|
|
259.4 KB
|
|
|
14
|
|
782.3 KB
|
|
|
16
|
|
118.8 KB
|
|
|
17
|
|
864.5 KB
|
|
|
18
|
|
962 KB
|
|
|
19
|
|
225.5 KB
|
|
|
20
|
|
713.4 KB
|
|
|
21
|
|
592.3 KB
|
|
|
22
|
|
216.6 KB
|
|
|
23
|
|
710.2 KB
|
|
|
24
|
|
407.8 KB
|
|
|
25
|
|
833 KB
|
|
|
26
|
|
956.6 KB
|
|
|
27
|
|
594.8 KB
|
|
|
28
|
|
587.5 KB
|
|
|
29
|
|
83.3 KB
|
|
|
30
|
|
647.7 KB
|
|
|
31
|
|
83.2 KB
|
|
|
32
|
|
427 KB
|
|
|
33
|
|
698.9 KB
|
|
|
35
|
|
589.8 KB
|
|
|
36
|
|
842.2 KB
|
|
|
37
|
|
59.7 KB
|
|
|
38
|
|
132.7 KB
|
|
|
39
|
|
814.9 KB
|
|
|
40
|
|
486.2 KB
|
|
|
41
|
|
140.8 KB
|
|
|
42
|
|
357.5 KB
|
|
|
43
|
|
996.8 KB
|
|
|
45
|
|
715.4 KB
|
|
|
46
|
|
247.9 KB
|
|
|
47
|
|
447.4 KB
|
|
|
48
|
|
650.9 KB
|
|
|
49
|
|
34.1 KB
|
|
|
50
|
|
449.6 KB
|
|
|
51
|
|
782.4 KB
|
|
|
52
|
|
867.2 KB
|
|
|
53
|
|
70.4 KB
|
|
|
54
|
|
89.5 KB
|
|
|
55
|
|
166 KB
|
|
|
56
|
|
509.4 KB
|
|
|
57
|
|
944 KB
|
|
|
58
|
|
103.1 KB
|
|
|
59
|
|
174 KB
|
|
|
60
|
|
519.9 KB
|
|
|
61
|
|
427.7 KB
|
|
|
62
|
|
471.9 KB
|
|
|
63
|
|
387.4 KB
|
|
|
64
|
|
965.3 KB
|
|
|
65
|
|
545.4 KB
|
|
|
66
|
|
729.3 KB
|
|
|
67
|
|
830.6 KB
|
|
|
68
|
|
704.8 KB
|
