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[DesireCourse.Net] Udemy - Machine Learning Basics Classification Models In Python

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	863d6437e156cbfad6dad218e677a6a171f2b964
Size:	2.2 GB in 99 files
Release Date(s):	Torrent Release: 14-05-2019 by user
Swarm:	0 Seeds & 2 Peers
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DESCRIPTION

Machine Learning Basics: Classification models in Python

Use classification to solve business problems and master the basics of Machine Learning classification in Python

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FILE LIST

Filename		Size
	1. Introduction/1. Welcome to the course!.mp4	17.6 MB
	1. Introduction/1. Welcome to the course!.vtt	3.3 KB
	1. Introduction/1.1 00_Introduction_01_py.pdf.pdf	472.2 KB
	2. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4	123.8 MB
	2. Introduction to Machine Learning/1. Introduction to Machine Learning.vtt	16.3 KB
	2. Introduction to Machine Learning/1.1 Lecture_machineLearning.pdf.pdf	991.6 KB
	2. Introduction to Machine Learning/2. Building a Machine Learning model.mp4	45.3 MB
	2. Introduction to Machine Learning/2. Building a Machine Learning model.vtt	8.6 KB
	3. Basics of Statistics/1. Types of Data.mp4	25.9 MB
	3. Basics of Statistics/1. Types of Data.vtt	4.3 KB
	3. Basics of Statistics/1.1 01_01_Lecture_TypesOfData.pdf.pdf	177.7 KB
	3. Basics of Statistics/2. Types of Statistics.mp4	13.2 MB
	3. Basics of Statistics/2. Types of Statistics.vtt	2.7 KB
	3. Basics of Statistics/2.1 01_02_Lecture_TypesOfStatistics.pdf.pdf	171.7 KB
	3. Basics of Statistics/3. Describing data Graphically.mp4	82.2 MB
	3. Basics of Statistics/3. Describing data Graphically.vtt	11.3 KB
	3. Basics of Statistics/3.1 01_03_Lecture_DataSummaryandGraph.pdf.pdf	317.9 KB
	3. Basics of Statistics/4. Measures of Centers.mp4	45.7 MB
	3. Basics of Statistics/4. Measures of Centers.vtt	6.4 KB
	3. Basics of Statistics/4.1 01_04_Lecture_Centers.pdf.pdf	313 KB
	3. Basics of Statistics/5. Practice Exercise 1.html	354 B
	3. Basics of Statistics/5.1 Exercise-1.pdf.pdf	553.8 KB
	3. Basics of Statistics/6. Measures of Dispersion.mp4	28.4 MB
	3. Basics of Statistics/6. Measures of Dispersion.vtt	4.7 KB
	3. Basics of Statistics/6.1 01_05_Lecture_Dispersion.pdf.pdf	210.6 KB
	3. Basics of Statistics/7. Practice Exercise 2.html	295 B
	3. Basics of Statistics/7.1 Exercise-2.pdf.pdf	469.9 KB
	4. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4	18.6 MB
	4. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.vtt	2.2 KB
	4. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4	73.1 MB
	4. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.vtt	8 KB
	4. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp4	51.3 MB
	4. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.vtt	10.7 KB
	4. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.mp4	16 MB
	4. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.vtt	3.5 KB
	4. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4	80.6 MB
	4. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.vtt	14.3 KB
	4. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4	73.7 MB
	4. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.vtt	14.6 KB
	4. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4	54.1 MB
	4. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.vtt	9.1 KB
	4. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.mp4	56.4 MB
	4. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.vtt	7.2 KB
	4. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp4	48.9 MB
	4. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.vtt	6.5 KB
	5. Data Preprocessing/1. Gathering Business Knowledge.mp4	25.1 MB
	5. Data Preprocessing/1. Gathering Business Knowledge.vtt	3.4 KB
	5. Data Preprocessing/1.1 03_01_PDE_Business_knowledge.pdf.pdf	153.9 KB
	5. Data Preprocessing/10. Outlier treatment in Python.mp4	58.4 MB
	5. Data Preprocessing/10. Outlier treatment in Python.vtt	7 KB
	5. Data Preprocessing/11. Project Exercise 3.html	233 B
	5. Data Preprocessing/12. Missing Value Imputation.mp4	27.6 MB
	5. Data Preprocessing/12. Missing Value Imputation.vtt	3.6 KB
	5. Data Preprocessing/12.1 04_05_PDE_Missing_value.pdf.pdf	315.7 KB
	5. Data Preprocessing/13. Missing Value Imputation in Python.mp4	27.6 MB
	5. Data Preprocessing/13. Missing Value Imputation in Python.vtt	3.6 KB
	5. Data Preprocessing/14. Project Exercise 4.html	238 B
	5. Data Preprocessing/15. Seasonality in Data.mp4	20.9 MB
	5. Data Preprocessing/15. Seasonality in Data.vtt	3.3 KB
	5. Data Preprocessing/15.1 04_07_PDE_Seasonality.pdf.pdf	364.1 KB
	5. Data Preprocessing/16. Variable Transformation.mp4	15.3 MB
	5. Data Preprocessing/16. Variable Transformation.vtt	1.2 KB
	5. Data Preprocessing/16.1 04_07_Variable_Transformation.pdf.pdf	456.1 KB
	5. Data Preprocessing/17. Variable transformation and Deletion in Python.mp4	35.6 MB
	5. Data Preprocessing/17. Variable transformation and Deletion in Python.vtt	3.4 KB
	5. Data Preprocessing/18. Project Exercise 5.html	225 B
	5. Data Preprocessing/19. Dummy variable creation Handling qualitative data.mp4	40.6 MB
	5. Data Preprocessing/19. Dummy variable creation Handling qualitative data.vtt	4.3 KB
	5. Data Preprocessing/19.1 04_11_Dummy_Var.pdf.pdf	163 KB
	5. Data Preprocessing/2. Data Exploration.mp4	23.4 MB
	5. Data Preprocessing/2. Data Exploration.vtt	3.2 KB
	5. Data Preprocessing/2.1 03_02_PDE_Data_exploration.pdf.pdf	322.9 KB
	5. Data Preprocessing/20. Dummy variable creation in Python.mp4	33.9 MB
	5. Data Preprocessing/20. Dummy variable creation in Python.vtt	4.7 KB
	5. Data Preprocessing/21. Project Exercise 6.html	202 B
	5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4	87.6 MB
	5. Data Preprocessing/3. The Dataset and the Data Dictionary.vtt	7.5 KB
	5. Data Preprocessing/4. Data Import in Python.mp4	25.5 MB
	5. Data Preprocessing/4. Data Import in Python.vtt	3.9 KB
	5. Data Preprocessing/5. Project Exercise 1.html	481 B
	5. Data Preprocessing/5.1 Movie_collection.csv.csv	55.8 KB
	5. Data Preprocessing/6. Univariate analysis and EDD.mp4	27.3 MB
	5. Data Preprocessing/6. Univariate analysis and EDD.vtt	3.1 KB
	5. Data Preprocessing/6.1 03_04_PDE_Univariate_Analysis_Uni.pdf.pdf	333.4 KB
	5. Data Preprocessing/7. EDD in Python.mp4	97.1 MB
	5. Data Preprocessing/7. EDD in Python.vtt	14.4 KB
	5. Data Preprocessing/8. Project Exercise 2.html	177 B
	5. Data Preprocessing/9. Outlier Treatment.mp4	27.8 MB
	5. Data Preprocessing/9. Outlier Treatment.vtt	4 KB
	5. Data Preprocessing/9.1 04_06_PDE_Outlier_Treatment.pdf.pdf	355.1 KB
	6. Classification Models/1. Three Classifiers and the problem statement.mp4	22.9 MB
	6. Classification Models/1. Three Classifiers and the problem statement.vtt	3.3 KB
	6. Classification Models/1.1 01_INtro.pdf.pdf	190.4 KB
	6. Classification Models/10. Confusion Matrix.mp4	26.7 MB
	6. Classification Models/10. Confusion Matrix.vtt	3.7 KB
	6. Classification Models/10.1 06_Confusion matrix.pdf.pdf	222.3 KB
	6. Classification Models/11. Making Confusion Matrix in Python.mp4	64.7 MB
	6. Classification Models/11. Making Confusion Matrix in Python.vtt	8.8 KB
	6. Classification Models/12. Evaluating performance of model.mp4	42.8 MB

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