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TORRENT DETAILS

[FreeCourseLab.com] Udemy - Data Science With Python

TORRENT SUMMARY

[FreeCourseLab.com] Udemy - Data Science with Python

Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash:	f37ac13e932a9f97eb0872ee2c2414718be16ed7
Size:	1.3 GB in 72 files
Release Date(s):	Torrent Release: 03-11-2018 by user
Swarm:	0 Seeds & 3 Peers
Vote:	No votes yet.

DESCRIPTION

Udemy - Data Science with Python

Data visualization is understanding the significance of data by placing it in a visual context. Patterns, trends that might go unnoticed in text-based data can be exposed and recognized easier with data visualization software. It basically involves presentation of data in a pictorial or graphical format.

Through this training we are going to learn how to use Python to create fascinating data visualizations.

The training includes the following;

1. Introduction to Data Visualization

2. Development Setup

3. Language Learning Bridge between Python and JS

4. Reading and Writing Data with Python

5. Webdev 101

VISITOR COMMENTS (0

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FILE LIST

Filename		Size
	1. Introduction/1. Introduction to Data Visualization.mp4	17 MB
	1. Introduction/1. Introduction to Data Visualization.vtt	4.8 KB
	2. What is Data Science/1. Understanding Data Science.mp4	18 MB
	2. What is Data Science/1. Understanding Data Science.vtt	5.8 KB
	2. What is Data Science/2. Python Environment Framework.mp4	27.5 MB
	2. What is Data Science/2. Python Environment Framework.vtt	4.9 KB
	2. What is Data Science/3. Various Python Scripts.mp4	28.7 MB
	2. What is Data Science/3. Various Python Scripts.vtt	6.4 KB
	3. Advanced Python/1. Concept of Advanced Python.mp4	26.5 MB
	3. Advanced Python/1. Concept of Advanced Python.vtt	6.2 KB
	3. Advanced Python/2. Creating Functions for Python.mp4	23.6 MB
	3. Advanced Python/2. Creating Functions for Python.vtt	4.4 KB
	3. Advanced Python/3. Creating a New Library.mp4	22.8 MB
	3. Advanced Python/3. Creating a New Library.vtt	4.7 KB
	3. Advanced Python/4. Creating Bar Charts.mp4	39 MB
	3. Advanced Python/4. Creating Bar Charts.vtt	7.6 KB
	3. Advanced Python/5. Analysis on Line Chart.mp4	30.3 MB
	3. Advanced Python/5. Analysis on Line Chart.vtt	5.6 KB
	3. Advanced Python/6. Understanding Scattered Plots.mp4	35.1 MB
	3. Advanced Python/6. Understanding Scattered Plots.vtt	5.7 KB
	4. Linear Algebra/1. Vector Spaces in Linear Algebra.mp4	35.4 MB
	4. Linear Algebra/1. Vector Spaces in Linear Algebra.vtt	6.4 KB
	4. Linear Algebra/2. Matrices in Linear Algebra.mp4	53 MB
	4. Linear Algebra/2. Matrices in Linear Algebra.vtt	10 KB
	4. Linear Algebra/3. Analysing Statistical Data.mp4	29.1 MB
	4. Linear Algebra/3. Analysing Statistical Data.vtt	6 KB
	4. Linear Algebra/4. Understanding Central Tendencies.mp4	63 MB
	4. Linear Algebra/4. Understanding Central Tendencies.vtt	9.8 KB
	4. Linear Algebra/5. Dispersion for Data.mp4	34.3 MB
	4. Linear Algebra/5. Dispersion for Data.vtt	5.3 KB
	5. Probability/1. Probability in Discreet Mathematics.mp4	20.6 MB
	5. Probability/1. Probability in Discreet Mathematics.vtt	4.3 KB
	5. Probability/10. Line of Best Fit.mp4	30.6 MB
	5. Probability/10. Line of Best Fit.vtt	4.3 KB
	5. Probability/11. Datascience with Gradient Descent.mp4	13.8 MB
	5. Probability/11. Datascience with Gradient Descent.vtt	3.7 KB
	5. Probability/12. Example on Gradient Descent.mp4	31.7 MB
	5. Probability/12. Example on Gradient Descent.vtt	4.8 KB
	5. Probability/2. Normal Distribution Curve.mp4	43.7 MB
	5. Probability/2. Normal Distribution Curve.vtt	6.7 KB
	5. Probability/3. Example for Normal Distribution Curve.mp4	32.5 MB
	5. Probability/3. Example for Normal Distribution Curve.vtt	5.1 KB
	5. Probability/4. Central Limit Theorem.mp4	36.8 MB
	5. Probability/4. Central Limit Theorem.vtt	6.2 KB
	5. Probability/5. Concept of Hypothesis.mp4	26.2 MB
	5. Probability/5. Concept of Hypothesis.vtt	4.1 KB
	5. Probability/6. Example on Hypothesis Testing.mp4	49.3 MB
	5. Probability/6. Example on Hypothesis Testing.vtt	6.5 KB
	5. Probability/7. Defining the Next Value.mp4	59.6 MB
	5. Probability/7. Defining the Next Value.vtt	7.6 KB
	5. Probability/8. Principle of P Hacking.mp4	27.4 MB
	5. Probability/8. Principle of P Hacking.vtt	4.3 KB
	5. Probability/9. Understanding Bayesian Inference.mp4	27.9 MB
	5. Probability/9. Understanding Bayesian Inference.vtt	5.1 KB
	6. Gradient Descent/1. Value Import.mp4	58.8 MB
	6. Gradient Descent/1. Value Import.vtt	6.1 KB
	6. Gradient Descent/2. Output Functions for Gradient.mp4	51.7 MB
	6. Gradient Descent/2. Output Functions for Gradient.vtt	5.5 KB
	6. Gradient Descent/3. Working with Data Analysis.mp4	56.2 MB
	6. Gradient Descent/3. Working with Data Analysis.vtt	8.4 KB
	6. Gradient Descent/4. Creating Normal Histogram.mp4	65 MB
	6. Gradient Descent/4. Creating Normal Histogram.vtt	6.4 KB
	6. Gradient Descent/5. Two Dimensional Graph.mp4	49.1 MB
	6. Gradient Descent/5. Two Dimensional Graph.vtt	5.6 KB
	6. Gradient Descent/6. Multiple Scatter Plots.mp4	45.5 MB
	6. Gradient Descent/6. Multiple Scatter Plots.vtt	6 KB
	6. Gradient Descent/7. Analyzing Data Sets.mp4	34.6 MB
	6. Gradient Descent/7. Analyzing Data Sets.vtt	5.5 KB
	6. Gradient Descent/8. Learnig Box Plots.mp4	39.9 MB
	6. Gradient Descent/8. Learnig Box Plots.vtt	5.6 KB
	7. Conclusion/1. Overview and Conclusion.mp4	13 MB
	7. Conclusion/1. Overview and Conclusion.vtt	4 KB

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