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Torrent Details
Data Science using Machine Learning Algorithm with Big Data
Category:
Ebook/Course
Size:
5.18 GB
Seeders:
19
Leechers:
7
Downloads:
354
Uploaded:
Apr 25, 2021
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Data Science using Machine Learning Algorithm with Big Data
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data
7. Machine Learning
1. Introduction of ML.srt
- 0 B
2. What is Machine Learning.srt
- 10.29 KB
4. Training, Testing and Model Evaluation in Machine Learning.srt
- 8.23 KB
3. Supervise Machine Learning.srt
- 3.17 KB
2. What is Machine Learning.mp4
- 126.81 MB
4. Training, Testing and Model Evaluation in Machine Learning.mp4
- 29.91 MB
3. Supervise Machine Learning.mp4
- 25.49 MB
1. Introduction of ML.mp4
- 1.31 MB
9. Scikit-learn Library for Machine Learning and Data Science
2. Case Study 2 with Scikit Learn Library.mp4
- 411.82 MB
2. Case Study 2 with Scikit Learn Library.srt
- 60.57 KB
1. Case Study 1 with Scikit Learn Library.mp4
- 278.07 MB
1. Case Study 1 with Scikit Learn Library.srt
- 42.79 KB
1.1 Material.zip
- 25.71 KB
2.1 Material.zip
- 13.37 KB
2. Python Programming Foundation
3.1 ipynp files.zip
- 179.21 KB
20. Python Crash Course.srt
- 45.16 KB
20. Python Crash Course.mp4
- 254.41 MB
17. Sequential, Selection, Repetition.srt
- 13.57 KB
3. Data Type, Variable and Keywords.srt
- 12.13 KB
14. Data Type Conversion.srt
- 11.45 KB
7. List Operations in details.srt
- 10.53 KB
1. Introduction of Python.srt
- 9.91 KB
11. String Operation in Python.srt
- 9.52 KB
12. Types of Operators.srt
- 9.5 KB
2. Environment Set up.srt
- 8.38 KB
13. Generation of Random Number and Range Functions.srt
- 8.32 KB
18. User Define Functions and inbuilt Function.srt
- 8.14 KB
19. Python CSV file Operations.srt
- 7.82 KB
10. Tuple Operations in details.srt
- 6.68 KB
16. Importance of Indentation.srt
- 6.48 KB
15. Math library.srt
- 4.95 KB
9. Dictionary Operations in details.srt
- 4.46 KB
8. Set Operations in details.srt
- 4.4 KB
4. How to produce output Print Statement in Python.srt
- 4.24 KB
20.1 Programs.zip
- 4.08 KB
5. How to take input .srt
- 3.91 KB
6. List, Tuple, Set, Dictionary.srt
- 3.89 KB
14. Data Type Conversion.mp4
- 68.31 MB
3. Data Type, Variable and Keywords.mp4
- 64.6 MB
7. List Operations in details.mp4
- 63.19 MB
19. Python CSV file Operations.mp4
- 61.42 MB
1. Introduction of Python.mp4
- 58.92 MB
11. String Operation in Python.mp4
- 53.32 MB
13. Generation of Random Number and Range Functions.mp4
- 53 MB
17. Sequential, Selection, Repetition.mp4
- 52.42 MB
12. Types of Operators.mp4
- 51.18 MB
10. Tuple Operations in details.mp4
- 42.86 MB
18. User Define Functions and inbuilt Function.mp4
- 41.3 MB
2. Environment Set up.mp4
- 40.56 MB
16. Importance of Indentation.mp4
- 37.97 MB
4. How to produce output Print Statement in Python.mp4
- 28.84 MB
9. Dictionary Operations in details.mp4
- 28.5 MB
8. Set Operations in details.mp4
- 26.08 MB
15. Math library.mp4
- 25.9 MB
5. How to take input .mp4
- 19.62 MB
6. List, Tuple, Set, Dictionary.mp4
- 18.47 MB
1. Introduction Data Science, Machine Learning and Big Data
1. Why to join this course.srt
- 1.6 KB
3. Introduction of Machine Learning.srt
- 14.78 KB
4. Introduction of Big Data.srt
- 11.37 KB
2. Importance of Data Analysis and Data Science.srt
- 8.22 KB
3. Introduction of Machine Learning.mp4
- 60.43 MB
4. Introduction of Big Data.mp4
- 56.37 MB
2. Importance of Data Analysis and Data Science.mp4
- 55.58 MB
1. Why to join this course.mp4
- 21.54 MB
5. Data Visualization
11. Plotly Library Tutorial.mp4
- 318.67 MB
3.1 .ipynb files.zip
- 261.41 KB
11. Plotly Library Tutorial.srt
- 39.92 KB
3. Matplotlib Library Tutorial 1.srt
- 30.33 KB
9. Seaborn Library Tutorial 2.srt
- 15.56 KB
8. Seaborn Library Tutorial 1.srt
- 14.4 KB
5. Matplotlib Library Tutorial 3.srt
- 9.58 KB
4. Matplotlib Library Tutorial 2.srt
- 8.81 KB
2. How to choose the RIGHT Charts & Graph for your Data.srt
- 8.75 KB
6. Matplotlib Library Tutorial 4.srt
- 6.07 KB
1. Importance of Data Visualization.srt
- 5.75 KB
10. Seaborn Library Tutorial 3.srt
- 4.96 KB
8.1 .ipynb files.zip
- 2.28 KB
7. Matplotlib Library Tutorial 5.srt
- 3.86 KB
11.1 Plotly.zip
- 2.43 KB
3. Matplotlib Library Tutorial 1.mp4
- 204.21 MB
9. Seaborn Library Tutorial 2.mp4
- 113.79 MB
2. How to choose the RIGHT Charts & Graph for your Data.mp4
- 87.02 MB
8. Seaborn Library Tutorial 1.mp4
- 82.16 MB
5. Matplotlib Library Tutorial 3.mp4
- 69.79 MB
4. Matplotlib Library Tutorial 2.mp4
- 55.92 MB
6. Matplotlib Library Tutorial 4.mp4
- 42.65 MB
10. Seaborn Library Tutorial 3.mp4
- 42.03 MB
7. Matplotlib Library Tutorial 5.mp4
- 36.15 MB
1. Importance of Data Visualization.mp4
- 29.93 MB
4. Data Processing, Analytic and Manipulation
3. Pandas Tutorial 2.srt
- 19.47 KB
2. Pandas Tutorial 1.srt
- 30.33 KB
3.1 Material.zip
- 23.93 KB
5.1 Material.zip
- 23.82 KB
5. Pandas Tutorial 4.srt
- 23.31 KB
4.1 Material.zip
- 15.72 KB
4. Pandas Tutorial 3.srt
- 13.86 KB
1. Data Processing, Analytic and Manipulation with Pandas.srt
- 2.87 KB
2.1 Material.zip
- 3.81 KB
2. Pandas Tutorial 1.mp4
- 189.53 MB
5. Pandas Tutorial 4.mp4
- 152.61 MB
3. Pandas Tutorial 2.mp4
- 142.61 MB
4. Pandas Tutorial 3.mp4
- 91.75 MB
1. Data Processing, Analytic and Manipulation with Pandas.mp4
- 14.29 MB
10. Case Study of Data Science using Machine Learning with Big Data
5.1 Material.zip
- 436.3 KB
1.1 Material.zip
- 27.23 KB
3.1 Material.zip
- 1.36 KB
2.1 Material.zip
- 23.72 KB
3. Support Vector Machines (SVM).srt
- 14.89 KB
2. Logistic Regression.srt
- 14.39 KB
5. KNN Algorithm.srt
- 12.04 KB
4. K Mean Algorithm.srt
- 8.14 KB
1. Linear Regression.srt
- 7.91 KB
2. Logistic Regression.mp4
- 88.24 MB
5. KNN Algorithm.mp4
- 86.88 MB
3. Support Vector Machines (SVM).mp4
- 71.42 MB
1. Linear Regression.mp4
- 50.94 MB
4. K Mean Algorithm.mp4
- 49.87 MB
4.1 Material.zip
- 1.01 MB
3. Data Operations
2.1 Support file for Practice.zip
- 214.09 KB
2. Numpy Library Tutorial 1.srt
- 40.15 KB
4. Numpy Library Tutorial 3.srt
- 17.01 KB
3. Numpy Library Tutorial 2.srt
- 12.97 KB
1. Operations Possible on Data with Numpy.srt
- 2.06 KB
5. Numpy Library Tutorial 4.srt
- 9.39 KB
9. Numpy Official Site Visit.srt
- 2.93 KB
6. Numpy Library Tutorial 5.srt
- 5.55 KB
8. Numpy Library Tutorial 7.srt
- 4.11 KB
2. Numpy Library Tutorial 1.mp4
- 218.15 MB
7. Numpy Library Tutorial 6.srt
- 3.32 KB
4. Numpy Library Tutorial 3.mp4
- 108.86 MB
3. Numpy Library Tutorial 2.mp4
- 79.06 MB
5. Numpy Library Tutorial 4.mp4
- 72.3 MB
6. Numpy Library Tutorial 5.mp4
- 43.53 MB
9. Numpy Official Site Visit.mp4
- 25.83 MB
7. Numpy Library Tutorial 6.mp4
- 24.58 MB
8. Numpy Library Tutorial 7.mp4
- 19.06 MB
1. Operations Possible on Data with Numpy.mp4
- 8.19 MB
8. Data Science
1. Collection of Data and Tools to Collect Data.srt
- 19.13 KB
2. Mega Mart Example for Increase Sale.srt
- 15.93 KB
4. Confusion Matrix with Covid 19 Patients Data.srt
- 13.15 KB
3. Why Mega Mart Gives Discount.srt
- 8.27 KB
1. Collection of Data and Tools to Collect Data.mp4
- 108.05 MB
2. Mega Mart Example for Increase Sale.mp4
- 74.78 MB
3. Why Mega Mart Gives Discount.mp4
- 36.56 MB
4. Confusion Matrix with Covid 19 Patients Data.mp4
- 36.24 MB
11. Additional and New Learning
2. Main Challenges of Machine Learning.srt
- 9.86 KB
1. How to Learn Mathematics for Machine Learning.srt
- 7.86 KB
4. Dimention Reduction is Curse in Machin Learning.srt
- 7.62 KB
3. Reasons to Learn Probability for Machine Learning.srt
- 5.08 KB
4. Dimention Reduction is Curse in Machin Learning.mp4
- 63.07 MB
2. Main Challenges of Machine Learning.mp4
- 45.2 MB
3. Reasons to Learn Probability for Machine Learning.mp4
- 42.02 MB
1. How to Learn Mathematics for Machine Learning.mp4
- 40.76 MB
6. Statistical Data Analysis
1. Statistical Data Analysis.srt
- 6.2 KB
1.1 Material.zip
- 1.67 KB
1. Statistical Data Analysis.mp4
- 39.36 MB
[TGx]Downloaded from torrentgalaxy.to .txt
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TutsNode.com.txt
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InfoHash:
B75EFA244ACB3F11E24B9CD831B1586DE1264710
Last updated:
Jan 25, 2022
File count:
227 B
File Category:
9
Tags:
Other, Tutorials
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