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Data Science using Machine Learning Algorithm with Big Data
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Name:Data Science using Machine Learning Algorithm with Big Data
Infohash: B75EFA244ACB3F11E24B9CD831B1586DE1264710
Total Size: 5.18 GB
Magnet: Magnet Download
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Last Updated: 2025-11-17 06:34:07 (Update Now)
Torrent added: 2021-04-20 17:30:48
Torrent Files List
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data (Size: 5.18 GB) (Files: 227)
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data
7. Machine Learning
1. Introduction of ML.srt
2. What is Machine Learning.srt
4. Training, Testing and Model Evaluation in Machine Learning.srt
3. Supervise Machine Learning.srt
2. What is Machine Learning.mp4
4. Training, Testing and Model Evaluation in Machine Learning.mp4
3. Supervise Machine Learning.mp4
1. Introduction of ML.mp4
9. Scikit-learn Library for Machine Learning and Data Science
2. Case Study 2 with Scikit Learn Library.mp4
2. Case Study 2 with Scikit Learn Library.srt
1. Case Study 1 with Scikit Learn Library.mp4
1. Case Study 1 with Scikit Learn Library.srt
1.1 Material.zip
2.1 Material.zip
2. Python Programming Foundation
3.1 ipynp files.zip
20. Python Crash Course.srt
20. Python Crash Course.mp4
17. Sequential, Selection, Repetition.srt
3. Data Type, Variable and Keywords.srt
14. Data Type Conversion.srt
7. List Operations in details.srt
1. Introduction of Python.srt
11. String Operation in Python.srt
12. Types of Operators.srt
2. Environment Set up.srt
13. Generation of Random Number and Range Functions.srt
18. User Define Functions and inbuilt Function.srt
19. Python CSV file Operations.srt
10. Tuple Operations in details.srt
16. Importance of Indentation.srt
15. Math library.srt
9. Dictionary Operations in details.srt
8. Set Operations in details.srt
4. How to produce output Print Statement in Python.srt
20.1 Programs.zip
5. How to take input .srt
6. List, Tuple, Set, Dictionary.srt
14. Data Type Conversion.mp4
3. Data Type, Variable and Keywords.mp4
7. List Operations in details.mp4
19. Python CSV file Operations.mp4
1. Introduction of Python.mp4
11. String Operation in Python.mp4
13. Generation of Random Number and Range Functions.mp4
17. Sequential, Selection, Repetition.mp4
12. Types of Operators.mp4
10. Tuple Operations in details.mp4
18. User Define Functions and inbuilt Function.mp4
2. Environment Set up.mp4
16. Importance of Indentation.mp4
4. How to produce output Print Statement in Python.mp4
9. Dictionary Operations in details.mp4
8. Set Operations in details.mp4
15. Math library.mp4
5. How to take input .mp4
6. List, Tuple, Set, Dictionary.mp4
1. Introduction Data Science, Machine Learning and Big Data
1. Why to join this course.srt
3. Introduction of Machine Learning.srt
4. Introduction of Big Data.srt
2. Importance of Data Analysis and Data Science.srt
3. Introduction of Machine Learning.mp4
4. Introduction of Big Data.mp4
2. Importance of Data Analysis and Data Science.mp4
1. Why to join this course.mp4
5. Data Visualization
11. Plotly Library Tutorial.mp4
3.1 .ipynb files.zip
11. Plotly Library Tutorial.srt
3. Matplotlib Library Tutorial 1.srt
9. Seaborn Library Tutorial 2.srt
8. Seaborn Library Tutorial 1.srt
5. Matplotlib Library Tutorial 3.srt
4. Matplotlib Library Tutorial 2.srt
2. How to choose the RIGHT Charts & Graph for your Data.srt
6. Matplotlib Library Tutorial 4.srt
1. Importance of Data Visualization.srt
10. Seaborn Library Tutorial 3.srt
8.1 .ipynb files.zip
7. Matplotlib Library Tutorial 5.srt
11.1 Plotly.zip
3. Matplotlib Library Tutorial 1.mp4
9. Seaborn Library Tutorial 2.mp4
2. How to choose the RIGHT Charts & Graph for your Data.mp4
8. Seaborn Library Tutorial 1.mp4
5. Matplotlib Library Tutorial 3.mp4
4. Matplotlib Library Tutorial 2.mp4
6. Matplotlib Library Tutorial 4.mp4
10. Seaborn Library Tutorial 3.mp4
7. Matplotlib Library Tutorial 5.mp4
1. Importance of Data Visualization.mp4
4. Data Processing, Analytic and Manipulation
3. Pandas Tutorial 2.srt
2. Pandas Tutorial 1.srt
3.1 Material.zip
5.1 Material.zip
5. Pandas Tutorial 4.srt
4.1 Material.zip
4. Pandas Tutorial 3.srt
1. Data Processing, Analytic and Manipulation with Pandas.srt
2.1 Material.zip
2. Pandas Tutorial 1.mp4
5. Pandas Tutorial 4.mp4
3. Pandas Tutorial 2.mp4
4. Pandas Tutorial 3.mp4
1. Data Processing, Analytic and Manipulation with Pandas.mp4
10. Case Study of Data Science using Machine Learning with Big Data
5.1 Material.zip
1.1 Material.zip
3.1 Material.zip
2.1 Material.zip
3. Support Vector Machines (SVM).srt
2. Logistic Regression.srt
5. KNN Algorithm.srt
4. K Mean Algorithm.srt
1. Linear Regression.srt
2. Logistic Regression.mp4
5. KNN Algorithm.mp4
3. Support Vector Machines (SVM).mp4
1. Linear Regression.mp4
4. K Mean Algorithm.mp4
4.1 Material.zip
3. Data Operations
2.1 Support file for Practice.zip
2. Numpy Library Tutorial 1.srt
4. Numpy Library Tutorial 3.srt
3. Numpy Library Tutorial 2.srt
1. Operations Possible on Data with Numpy.srt
5. Numpy Library Tutorial 4.srt
9. Numpy Official Site Visit.srt
6. Numpy Library Tutorial 5.srt
8. Numpy Library Tutorial 7.srt
2. Numpy Library Tutorial 1.mp4
7. Numpy Library Tutorial 6.srt
4. Numpy Library Tutorial 3.mp4
3. Numpy Library Tutorial 2.mp4
5. Numpy Library Tutorial 4.mp4
6. Numpy Library Tutorial 5.mp4
9. Numpy Official Site Visit.mp4
7. Numpy Library Tutorial 6.mp4
8. Numpy Library Tutorial 7.mp4
1. Operations Possible on Data with Numpy.mp4
8. Data Science
1. Collection of Data and Tools to Collect Data.srt
2. Mega Mart Example for Increase Sale.srt
4. Confusion Matrix with Covid 19 Patients Data.srt
3. Why Mega Mart Gives Discount.srt
1. Collection of Data and Tools to Collect Data.mp4
2. Mega Mart Example for Increase Sale.mp4
3. Why Mega Mart Gives Discount.mp4
4. Confusion Matrix with Covid 19 Patients Data.mp4
11. Additional and New Learning
2. Main Challenges of Machine Learning.srt
1. How to Learn Mathematics for Machine Learning.srt
4. Dimention Reduction is Curse in Machin Learning.srt
3. Reasons to Learn Probability for Machine Learning.srt
4. Dimention Reduction is Curse in Machin Learning.mp4
2. Main Challenges of Machine Learning.mp4
3. Reasons to Learn Probability for Machine Learning.mp4
1. How to Learn Mathematics for Machine Learning.mp4
6. Statistical Data Analysis
1. Statistical Data Analysis.srt
1.1 Material.zip
1. Statistical Data Analysis.mp4
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