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Udemy - A Foundation For Machine Learning and Data Science

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2.8 GB

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02/01/24 at 6:41pm GMT+1

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Verified by VeriPLUS

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Description

[ DevCourseWeb.com ] A Foundation For Machine Learning and Data Science

If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com

Published 1/2024

Created by Balasubramanian Chandran

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English | Duration: 30 Lectures ( 6h 47m ) | Size: 2.79 GB

A solid foundational course for ML and Data Science with Python, Linear Algebra, Statistics, Probability, and OOPs.

What you'll learn:

A solid foundation for Machine Learning and Data Science

Black-box ML concepts

A high-level understanding of the 11 stages involved in developing and implementing ML projects

Python for Machine Learning and Data Science

Python data types and structures, NumPy data structures, and Pandas data structures

Pandas data indexing and selection, Operating on Pandas data, Handling missing data, Hierarchical indexing/ multi-indexing

Combining datasets, aggregation, and grouping

Working with strings, list-set-dictionary comprehensions, functions, unpacking sequences, and so on

How to use NumPy for numerical computing, vectorization, broadcasting, data transformation, and so on

How to use Pandas for data analysis and data manipulation

Jupyter Notebook commands and markdown codes

Linear algebra including the types of linear regression problems and the types of classification problems, and so on

Statistics including Why do we need to learn statistics? What are statistical models? What are the different types of statistics available?

What are mean, median, mode, quartiles, and percentiles? What are range, variance, and standard deviation? What are skewness and kurtosis?

What are the different types of variables we will be dealing with?

How statistics is used in various stages of machine learning? and so on

Probability theory including the language of Probability theory, Probability Tree, Types of probability, why we need to learn Probability? and so on

Object-Oriented Programming

An overview of important libraries used in ML and DS for data processing, data analysis, data manipulation, visualization, and other supporting libraries

And, much more

Requirements:

Fundamentals of computer science and programming

High school-level basic mathematics

If You Need More Stuff, kindly Visit and Support Us -->> https://CourseWikia.com

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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...

File list

Udemy - A Foundation For Machine Learning and Data Science
~Get Your Files Here !/1. Welcome Message/1. Welcome Message.mp4 29.6 MB
~Get Your Files Here !/10. OOPs – An Overview/1. OOPs – An Overview.mp4 61.8 MB
~Get Your Files Here !/11. Important Libraries – An Overview/1. Important Libraries – An Overview.mp4 43.8 MB
~Get Your Files Here !/12. Congratulatory and Closing Note/1. Congratulatory and Closing Note.mp4 24.7 MB
~Get Your Files Here !/2. Course Contents/1. Course Contents.mp4 21.3 MB
~Get Your Files Here !/3. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 84.3 MB
~Get Your Files Here !/4. Anaconda – An Overview & Installation/1. Anaconda – An Overview & Installation.mp4 11.4 MB
~Get Your Files Here !/5. JupyterLab – An Overview/1. JupyterLab – An Overview.mp4 20.1 MB
~Get Your Files Here !/5. JupyterLab – An Overview/2. [Hands on] JupyterLab Overview (Notebook Commands, Markdown Codes).mp4 53.1 MB
~Get Your Files Here !/5. JupyterLab – An Overview/2.1 Jupyter_Notebook_Hands_on.ipynb 13.7 KB
~Get Your Files Here !/5. JupyterLab – An Overview/2.2 LaTeX_Symbols.png 43.1 KB
~Get Your Files Here !/6. Python Overview/1. Python Data Types & Structures, NumPy Data Structures.mp4 121.1 MB
~Get Your Files Here !/6. Python Overview/10. [Hands on 5] Handling missing data.mp4 54.2 MB
~Get Your Files Here !/6. Python Overview/10.1 Python_Overview_Hands_on_5.ipynb 10.6 KB
~Get Your Files Here !/6. Python Overview/11. Hierarchical Indexing Multi-Indexing.mp4 27.7 MB
~Get Your Files Here !/6. Python Overview/12. [Hands on 6] Hierarchical Indexing Multi-Indexing.mp4 187.6 MB
~Get Your Files Here !/6. Python Overview/12.1 Python_Overview_Hands_on_6.ipynb 22.3 KB
~Get Your Files Here !/6. Python Overview/13. Combining Datasets.mp4 29.2 MB
~Get Your Files Here !/6. Python Overview/14. [Hands on 7] Combining Datasets.mp4 273.7 MB
~Get Your Files Here !/6. Python Overview/14.1 Python_Overview_Hands_on_7.ipynb 80.3 KB
~Get Your Files Here !/6. Python Overview/15. Aggregation and Grouping.mp4 42.8 MB
~Get Your Files Here !/6. Python Overview/16. [Hands on 8] Aggregation and Grouping.mp4 204 MB
~Get Your Files Here !/6. Python Overview/16.1 Python_Overview_Hands_on_8.ipynb 21 KB
~Get Your Files Here !/6. Python Overview/17. Strings, List-Set-Dictionary Comprehensions, Functions, Unpacking Sequence.mp4 83.5 MB
~Get Your Files Here !/6. Python Overview/18. [Hands on 9] Strings, List-Set-Dictionary Comp., Functions, Unpacking Seqence.mp4 192.6 MB
~Get Your Files Here !/6. Python Overview/18.1 Python_Overview_Hands_on_9.ipynb 27.5 KB
~Get Your Files Here !/6. Python Overview/2. [Hands on 1] Python Data Types & Structures, NumPy Data Structures.mp4 546.8 MB
~Get Your Files Here !/6. Python Overview/2.1 Python_Overview_Hands_on_1.ipynb 60.4 KB
~Get Your Files Here !/6. Python Overview/3. Pandas Data Structures.mp4 24.3 MB
~Get Your Files Here !/6. Python Overview/4. [Hands on 2] Pandas Data Structures.mp4 181.6 MB
~Get Your Files Here !/6. Python Overview/4.1 olympics.csv 8.2 KB
~Get Your Files Here !/6. Python Overview/4.2 Python_Overview_Hands_on_2.ipynb 26 KB
~Get Your Files Here !/6. Python Overview/5. Pandas Data Indexing and Selection.mp4 31.9 MB
~Get Your Files Here !/6. Python Overview/6. [Hands on 3] Pandas Data Indexing and Selection.mp4 75.1 MB
~Get Your Files Here !/6. Python Overview/6.1 Python_Overview_Hands_on_3.ipynb 14.4 KB
~Get Your Files Here !/6. Python Overview/7. Pandas Operating on Data.mp4 9.8 MB
~Get Your Files Here !/6. Python Overview/8. [Hands on 4] Pandas Operating on Data.mp4 69.6 MB
~Get Your Files Here !/6. Python Overview/8.1 Python_Overview_Hands_on_4.ipynb 21.3 KB
~Get Your Files Here !/6. Python Overview/9. Handling missing data.mp4 18.4 MB
~Get Your Files Here !/7. Linear Algebra – An Overview/1. Linear Algebra – An Overview.mp4 93.2 MB
~Get Your Files Here !/8. Statistics – An Overview/1. Statistics – An Overview.mp4 159.1 MB
~Get Your Files Here !/9. Probability – An Overview/1. Probability – An Overview.mp4 91.2 MB
~Get Your Files Here !/Bonus Resources.txt 386 B

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