Data Science using Machine Learning Algorithm with Big Data | B75EFA244ACB3F11E24B9CD831B1586DE1264710

Data Science using Machine Learning Algorithm with Big Data

Name	Data Science using Machine Learning Algorithm with Big Data	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	5.6 GB
Total Files	227
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Hash	B75EFA244ACB3F11E24B9CD831B1586DE1264710

/7. Machine Learning/
1. Introduction of ML.srt	0.0 KB
/.../9. Scikit-learn Library for Machine Learning and Data Science/
2. Case Study 2 with Scikit Learn Library.mp4	431.8 MB
2. Case Study 2 with Scikit Learn Library.srt	62.0 KB
1. Case Study 1 with Scikit Learn Library.mp4	291.6 MB
1. Case Study 1 with Scikit Learn Library.srt	43.8 KB
1.1 Material.zip	26.3 KB
2.1 Material.zip	13.7 KB
/.../2. Python Programming Foundation/
3.1 ipynp files.zip	183.5 KB
20. Python Crash Course.srt	46.2 KB
20. Python Crash Course.mp4	266.8 MB
17. Sequential, Selection, Repetition.srt	13.9 KB
3. Data Type, Variable and Keywords.srt	12.4 KB
14. Data Type Conversion.srt	11.7 KB
7. List Operations in details.srt	10.8 KB
1. Introduction of Python.srt	10.1 KB
11. String Operation in Python.srt	9.7 KB
12. Types of Operators.srt	9.7 KB
2. Environment Set up.srt	8.6 KB
13. Generation of Random Number and Range Functions.srt	8.5 KB
18. User Define Functions and inbuilt Function.srt	8.3 KB
19. Python CSV file Operations.srt	8.0 KB
10. Tuple Operations in details.srt	6.8 KB
16. Importance of Indentation.srt	6.6 KB
15. Math library.srt	5.1 KB
9. Dictionary Operations in details.srt	4.6 KB
8. Set Operations in details.srt	4.5 KB
4. How to produce output Print Statement in Python.srt	4.3 KB
20.1 Programs.zip	4.2 KB
5. How to take input .srt	4.0 KB
6. List, Tuple, Set, Dictionary.srt	4.0 KB
14. Data Type Conversion.mp4	71.6 MB
3. Data Type, Variable and Keywords.mp4	67.7 MB
7. List Operations in details.mp4	66.3 MB
19. Python CSV file Operations.mp4	64.4 MB
1. Introduction of Python.mp4	61.8 MB
11. String Operation in Python.mp4	55.9 MB
13. Generation of Random Number and Range Functions.mp4	55.6 MB
17. Sequential, Selection, Repetition.mp4	55.0 MB
12. Types of Operators.mp4	53.7 MB
10. Tuple Operations in details.mp4	44.9 MB
18. User Define Functions and inbuilt Function.mp4	43.3 MB
2. Environment Set up.mp4	42.5 MB
16. Importance of Indentation.mp4	39.8 MB
4. How to produce output Print Statement in Python.mp4	30.2 MB
9. Dictionary Operations in details.mp4	29.9 MB
8. Set Operations in details.mp4	27.3 MB
15. Math library.mp4	27.2 MB
5. How to take input .mp4	20.6 MB
6. List, Tuple, Set, Dictionary.mp4	19.4 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	15.1 KB
4. Introduction of Big Data.srt	11.6 KB
2. Importance of Data Analysis and Data Science.srt	8.4 KB
3. Introduction of Machine Learning.mp4	63.4 MB
4. Introduction of Big Data.mp4	59.1 MB
2. Importance of Data Analysis and Data Science.mp4	58.3 MB
1. Why to join this course.mp4	22.6 MB

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TutsNode.com.txt	0.1 KB
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11	146.5 KB
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/5. Data Visualization/
11. Plotly Library Tutorial.mp4	334.1 MB
3.1 .ipynb files.zip	267.7 KB
11. Plotly Library Tutorial.srt	40.9 KB
3. Matplotlib Library Tutorial 1.srt	31.1 KB
9. Seaborn Library Tutorial 2.srt	15.9 KB
8. Seaborn Library Tutorial 1.srt	14.8 KB
5. Matplotlib Library Tutorial 3.srt	9.8 KB
4. Matplotlib Library Tutorial 2.srt	9.0 KB
2. How to choose the RIGHT Charts & Graph for your Data.srt	9.0 KB
6. Matplotlib Library Tutorial 4.srt	6.2 KB
1. Importance of Data Visualization.srt	5.9 KB
10. Seaborn Library Tutorial 3.srt	5.1 KB
8.1 .ipynb files.zip	2.3 KB
7. Matplotlib Library Tutorial 5.srt	4.0 KB
11.1 Plotly.zip	2.5 KB
3. Matplotlib Library Tutorial 1.mp4	214.1 MB
9. Seaborn Library Tutorial 2.mp4	119.3 MB
2. How to choose the RIGHT Charts & Graph for your Data.mp4	91.2 MB
8. Seaborn Library Tutorial 1.mp4	86.1 MB
5. Matplotlib Library Tutorial 3.mp4	73.2 MB
4. Matplotlib Library Tutorial 2.mp4	58.6 MB
6. Matplotlib Library Tutorial 4.mp4	44.7 MB
10. Seaborn Library Tutorial 3.mp4	44.1 MB
7. Matplotlib Library Tutorial 5.mp4	37.9 MB
1. Importance of Data Visualization.mp4	31.4 MB
/.../4. Data Processing, Analytic and Manipulation/
3. Pandas Tutorial 2.srt	19.9 KB
2. Pandas Tutorial 1.srt	31.1 KB
3.1 Material.zip	24.5 KB
5.1 Material.zip	24.4 KB
5. Pandas Tutorial 4.srt	23.9 KB
4.1 Material.zip	16.1 KB
4. Pandas Tutorial 3.srt	14.2 KB
1. Data Processing, Analytic and Manipulation with Pandas.srt	2.9 KB
2.1 Material.zip	3.9 KB
2. Pandas Tutorial 1.mp4	198.7 MB
5. Pandas Tutorial 4.mp4	160.0 MB
3. Pandas Tutorial 2.mp4	149.5 MB
4. Pandas Tutorial 3.mp4	96.2 MB
1. Data Processing, Analytic and Manipulation with Pandas.mp4	15.0 MB
/.../10. Case Study of Data Science using Machine Learning with Big Data/
5.1 Material.zip	446.8 KB
1.1 Material.zip	27.9 KB
3.1 Material.zip	1.4 KB
2.1 Material.zip	24.3 KB
3. Support Vector Machines (SVM).srt	15.2 KB
2. Logistic Regression.srt	14.7 KB
5. KNN Algorithm.srt	12.3 KB
4. K Mean Algorithm.srt	8.3 KB
1. Linear Regression.srt	8.1 KB
2. Logistic Regression.mp4	92.5 MB
5. KNN Algorithm.mp4	91.1 MB
3. Support Vector Machines (SVM).mp4	74.9 MB
1. Linear Regression.mp4	53.4 MB
4. K Mean Algorithm.mp4	52.3 MB
4.1 Material.zip	1.1 MB
/3. Data Operations/
2.1 Support file for Practice.zip	219.2 KB
2. Numpy Library Tutorial 1.srt	41.1 KB
4. Numpy Library Tutorial 3.srt	17.4 KB
3. Numpy Library Tutorial 2.srt	13.3 KB
1. Operations Possible on Data with Numpy.srt	2.1 KB
5. Numpy Library Tutorial 4.srt	9.6 KB
9. Numpy Official Site Visit.srt	3.0 KB
6. Numpy Library Tutorial 5.srt	5.7 KB
8. Numpy Library Tutorial 7.srt	4.2 KB
2. Numpy Library Tutorial 1.mp4	228.7 MB
7. Numpy Library Tutorial 6.srt	3.4 KB
4. Numpy Library Tutorial 3.mp4	114.1 MB
3. Numpy Library Tutorial 2.mp4	82.9 MB
5. Numpy Library Tutorial 4.mp4	75.8 MB
6. Numpy Library Tutorial 5.mp4	45.6 MB
9. Numpy Official Site Visit.mp4	27.1 MB
7. Numpy Library Tutorial 6.mp4	25.8 MB
8. Numpy Library Tutorial 7.mp4	20.0 MB
1. Operations Possible on Data with Numpy.mp4	8.6 MB
/8. Data Science/
1. Collection of Data and Tools to Collect Data.srt	19.6 KB
2. Mega Mart Example for Increase Sale.srt	16.3 KB
4. Confusion Matrix with Covid 19 Patients Data.srt	13.5 KB
3. Why Mega Mart Gives Discount.srt	8.5 KB
1. Collection of Data and Tools to Collect Data.mp4	113.3 MB
2. Mega Mart Example for Increase Sale.mp4	78.4 MB
3. Why Mega Mart Gives Discount.mp4	38.3 MB
4. Confusion Matrix with Covid 19 Patients Data.mp4	38.0 MB
/7. Machine Learning/
2. What is Machine Learning.srt	10.5 KB
4. Training, Testing and Model Evaluation in Machine Learning.srt	8.4 KB
3. Supervise Machine Learning.srt	3.2 KB
2. What is Machine Learning.mp4	133.0 MB
4. Training, Testing and Model Evaluation in Machine Learning.mp4	31.4 MB
3. Supervise Machine Learning.mp4	26.7 MB
1. Introduction of ML.mp4	1.4 MB
/.../11. Additional and New Learning/
2. Main Challenges of Machine Learning.srt	10.1 KB
1. How to Learn Mathematics for Machine Learning.srt	8.0 KB
4. Dimention Reduction is Curse in Machin Learning.srt	7.8 KB
3. Reasons to Learn Probability for Machine Learning.srt	5.2 KB
4. Dimention Reduction is Curse in Machin Learning.mp4	66.1 MB
2. Main Challenges of Machine Learning.mp4	47.4 MB
3. Reasons to Learn Probability for Machine Learning.mp4	44.1 MB
1. How to Learn Mathematics for Machine Learning.mp4	42.7 MB
/.../6. Statistical Data Analysis/
1. Statistical Data Analysis.srt	6.4 KB
1.1 Material.zip	1.7 KB
1. Statistical Data Analysis.mp4	41.3 MB
Total files 227