Don't like banners? Log in and we will make sure you see no banners. For free.
[FreeCourseLab.com] Udemy - Data Science with Python

[FreeCourseLab.com] Udemy - Data Science with Python

Other
Size
1.3 GB
Seeders
0
Leechers
3
Files
72
Category
Other
Added
at 5:50am GMT+1
Infohash
f37ac13e932a9f97eb0872ee2c2414718be16ed7
Direct linkTorrent fileDownload now
Don't like banners? Log in and we will make sure you see no banners. For free.

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

File list
  • [FreeCourseLab.com] Udemy - Data Science with Python
  • 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

Rating
Not rated yet
Log in to rate

Comments

No comments yet.


Similar torrents
NameSizeDate
2.2 GB01
7.4 GB03
2.1 GB01