Udemy - Data Mining w/ Python and NumPy - Build a Video Recommender

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.1 GB
  • Uploaded Bytutsnode
  • Downloads236
  • Last checkedApr. 19th '21
  • Date uploadedApr. 16th '21
  • Seeders 24
  • Leechers7
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Infohash : D37C2A20F82361132BCFD2F1A40D4D11C62B386A


Description

Python is the most emerging programming language in the world. It is used for web and software development. It has a lot of things that you can’t consider in other programming languages. You will learn and everything by coding the programs.

This course will take you from beginner to expert in Python, easily and smartly. We’ve crafted every piece of content to be concise and straightforward, while never leaving you confused. This course will dive right into Python and get you productive from the very beginning.

This is the best investment you can make in your Python journey.

Why Learn Python?

Over the last few years, Python has become more and more popular. Demand for Python is booming in the job market and it is a skill that can help you enter some of the most exciting industries, including data science, web applications, home automation and many more. Python is one of the “most loved” and “most wanted” programming languages according to recent industry surveys. If people are not using Python already, they want to start using Python.

This course will make it easy for you to learn Python and get ahead of your competition.

This course is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python.

The fact is, Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission-critical applications like Google Search.

And Python is the number one language choice for machine learning, data science, and artificial intelligence. To get those high-paying jobs you need expert knowledge of Python, and that’s what you will get from this course.

Each concept is introduced in plain English, avoiding confusing mathematical notation and jargon. It’s then demonstrated using Python code you can experiment with and build upon, along with notes you can keep for future reference. You won’t find academic, deeply mathematical coverage of these algorithms in this course – the focus is on practical understanding and application of them. At the end, you’ll be given a final project to apply what you’ve learned!

By the end of the course, you’ll be able to apply in confidence for Python programming jobs. And yes, this applies even if you have never programmed before. With the right skills which you will learn in this course, you can become employable and valuable in the eyes of future employers.
Who this course is for:

Beginners with no previous programming experience looking to obtain the skills to get their first programming job.
Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence.
Existing programmers who want to improve their career options by learning the Python programming language.

Requirements

No necessary experience needed

Last Updated 3/2021

Files:

Data Mining w Python and NumPy - Build a Video Recommender [TutsNode.com] - Data Mining w Python and NumPy - Build a Video Recommender 3. 02 Introduction to Python (Prerequisite)
  • 15. 14. Classes And Objects.mp4 (223.4 MB)
  • 15. 14. Classes And Objects.srt (53.9 KB)
  • 12. 11. Loops.srt (46.4 KB)
  • 4. 03. Operators.srt (44.4 KB)
  • 11. 10. If Statement Examples.srt (34.3 KB)
  • 6. 05. List Examples.srt (31.0 KB)
  • 2. 01. Variables.srt (30.6 KB)
  • 16. 15. Inheritance Examples.srt (27.4 KB)
  • 13. 12. Functions.srt (27.0 KB)
  • 8. 07. Dictionaries Examples.srt (22.6 KB)
  • 14. 13. Parameters And Return Values Examples.srt (21.8 KB)
  • 17. 16. Static Members Examples.srt (16.5 KB)
  • 3. 02. Type Conversion Examples.srt (16.2 KB)
  • 1. 00. Intro To Course And Python.srt (15.3 KB)
  • 7. 06. Tuples Examples.srt (13.5 KB)
  • 9. 08. Ranges Examples.srt (13.5 KB)
  • 5. 04. Collections.srt (13.2 KB)
  • 10. 09. Conditionals.srt (10.5 KB)
  • 18. 17. Summary And Outro.srt (6.1 KB)
  • 12. 11. Loops.mp4 (167.1 MB)
  • 4. 03. Operators.mp4 (161.4 MB)
  • 16. 15. Inheritance Examples.mp4 (130.6 MB)
  • 11. 10. If Statement Examples.mp4 (118.0 MB)
  • 6. 05. List Examples.mp4 (109.9 MB)
  • 2. 01. Variables.mp4 (106.5 MB)
  • 8. 07. Dictionaries Examples.mp4 (87.3 MB)
  • 13. 12. Functions.mp4 (86.5 MB)
  • 17. 16. Static Members Examples.mp4 (78.6 MB)
  • 14. 13. Parameters And Return Values Examples.mp4 (78.5 MB)
  • 3. 02. Type Conversion Examples.mp4 (59.8 MB)
  • 1. 00. Intro To Course And Python.mp4 (57.2 MB)
  • 9. 08. Ranges Examples.mp4 (53.2 MB)
  • 7. 06. Tuples Examples.mp4 (52.5 MB)
  • 5. 04. Collections.mp4 (41.6 MB)
  • 10. 09. Conditionals.mp4 (38.0 MB)
  • 18. 17. Summary And Outro.mp4 (20.9 MB)
2. 01 Mammoth Interactive Courses Introduction
  • 2. 01 How To Learn Online Effectively.srt (19.8 KB)
  • 1. 00 About Mammoth Interactive.srt (1.4 KB)
  • 3. Source Files.html (0.0 KB)
  • 2. 01 How To Learn Online Effectively.mp4 (74.1 MB)
  • 1. 00 About Mammoth Interactive.mp4 (8.7 MB)
  • 3.1 Source Files.zip (2.1 MB)
4. 03 Build a Video Recommender with Data Mining
  • 1. 01 Build A Dataset.srt (33.3 KB)
  • 3. 03 Compute Support And Confidence For All Channels.srt (19.0 KB)
  • 4. 04 Determine Which Videos Are Best To Recommend.srt (14.5 KB)
  • 2. 02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y.srt (14.1 KB)
  • 5.1 Source Files.zip (5.4 KB)
  • 5. Source Files.html (0.0 KB)
  • 1. 01 Build A Dataset.mp4 (141.3 MB)
  • 3. 03 Compute Support And Confidence For All Channels.mp4 (92.0 MB)
  • 4. 04 Determine Which Videos Are Best To Recommend.mp4 (67.7 MB)
  • 2. 02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y.mp4 (64.9 MB)
1. 00 Course Overview
  • 1. 01 Project Preview.srt (4.4 KB)
  • 1. 01 Project Preview.mp4 (15.7 MB)
  • TutsNode.com.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)
    • .pad
    • 0 (76.1 KB)
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