Udemy - Machine Learning for Absolute Beginners - Level 2

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[ DevCourseWeb.com ] Udemy - Machine Learning for Absolute Beginners - Level 2
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 01 - Getting Started with Level 2!
    • 001 Welcome!.mp4 (11.6 MB)
    • 001 Welcome!_en.srt (2.7 KB)
    • 002 Anaconda Installation.mp4 (22.1 MB)
    • 002 Anaconda Installation_en.srt (4.5 KB)
    • 003 JupyterLab Overview.mp4 (10.7 MB)
    • 003 JupyterLab Overview_en.srt (4.2 KB)
    • 004 Working with a Jupyter Notebook.mp4 (23.1 MB)
    • 004 Working with a Jupyter Notebook_en.srt (16.1 KB)
    02 - Python Fundamentals for Data Science
    • 001 Overview.mp4 (9.5 MB)
    • 001 Overview_en.srt (3.4 KB)
    • 002 Variables and Data Types.mp4 (11.0 MB)
    • 002 Variables and Data Types_en.srt (8.7 KB)
    • 003 Strings.mp4 (15.6 MB)
    • 003 Strings_en.srt (8.6 KB)
    • 004 Lists.mp4 (15.0 MB)
    • 004 Lists_en.srt (11.7 KB)
    • 005 IF and For-Loop Statements.mp4 (11.2 MB)
    • 005 IF and For-Loop Statements_en.srt (8.3 KB)
    • 006 Functions.mp4 (15.4 MB)
    • 006 Functions_en.srt (9.3 KB)
    • 007 Dictionaries.mp4 (21.9 MB)
    • 007 Dictionaries_en.srt (12.4 KB)
    • 008 Classes, Objects, Attributes, and Methods.mp4 (14.9 MB)
    • 008 Classes, Objects, Attributes, and Methods_en.srt (8.5 KB)
    • 009 Importing Modules.mp4 (14.0 MB)
    • 009 Importing Modules_en.srt (7.7 KB)
    • 010 Libraries for Data Science Projects.mp4 (31.5 MB)
    • 010 Libraries for Data Science Projects_en.srt (8.2 KB)
    • 011 Exercise #1 - Python Fundamentals.mp4 (7.7 MB)
    • 011 Exercise #1 - Python Fundamentals_en.srt (0.0 KB)
    • Exercise #1 - Python Fundamentals.ipynb (16.8 KB)
    • Solution #1 - Python Fundamentals.ipynb (29.1 KB)
    03 - Introduction to the Pandas Library
    • 001 Overview.mp4 (3.3 MB)
    • 001 Overview_en.srt (3.5 KB)
    • 002 Series Data Structure (1D).mp4 (23.7 MB)
    • 002 Series Data Structure (1D)_en.srt (13.9 KB)
    • 003 DataFrame Data Structure (2D).mp4 (8.6 MB)
    • 003 DataFrame Data Structure (2D)_en.srt (5.1 KB)
    • 004 Data Selection in a DataFrame.mp4 (27.7 MB)
    • 005 Exercise #2 – Pandas Series and DataFrame.mp4 (7.7 MB)
    • 005 Exercise #2 – Pandas Series and DataFrame_en.srt (0.0 KB)
    • Exercise #2 - Pandas Series and DataFrame.ipynb (9.4 KB)
    • Solution #2 - Pandas Series and DataFrame.ipynb (29.2 KB)
    04 - Loading Data into a DataFrame
    • 001 Overview.mp4 (1.3 MB)
    • 001 Overview_en.srt (1.4 KB)
    • 002 Kaggle and the Titanic Dataset.mp4 (41.0 MB)
    • 002 Kaggle and the Titanic Dataset_en.srt (6.2 KB)
    • 003 Loading a Tabular Data File.mp4 (42.1 MB)
    • 003 Loading a Tabular Data File_en.srt (7.0 KB)
    • 004 Adjusting the Loading Parameters.mp4 (66.6 MB)
    • 004 Adjusting the Loading Parameters_en.srt (14.7 KB)
    • 005 Preview the DataFrame.mp4 (26.7 MB)
    • 005 Preview the DataFrame_en.srt (8.6 KB)
    • 006 Using Summary Statistics.mp4 (12.4 MB)
    • 006 Using Summary Statistics_en.srt (5.0 KB)
    • 007 The Concept of Methods Chaining.mp4 (22.9 MB)
    • 007 The Concept of Methods Chaining_en.srt (5.8 KB)
    • 008 Sorting and Ranking.mp4 (8.9 MB)
    • 008 Sorting and Ranking_en.srt (3.5 KB)
    • 009 Filtering.mp4 (11.0 MB)
    • 009 Filtering_en.srt (5.3 KB)
    • 010 Grouping.mp4 (9.9 MB)
    • 010 Grouping_en.srt (5.1 KB)
    • 011 Exercise #3 – Data Loading and Analysis.mp4 (7.7 MB)
    • 011 Exercise #3 – Data Loading and Analysis_en.srt (0.0 KB)
    • Exercise 3 – Data Loading and Analysis
      • Exercise #3 – Data Loading and Analysis.ipynb (10.0 KB)
      • Solution #3 – Data Loading and Analysis.ipynb (69.3 KB)
      • titanic.csv (59.8 KB)
      05 - Data Cleaning and Transformation
      • 001 Overview.mp4 (2.5 MB)
      • 001 Overview_en.srt (2.3 KB)
      • 002 Removing Columns or Rows.mp4 (9.4 MB)
      • 002 Removing Columns or Rows_en.srt (4.7 KB)
      • 003 Removing Duplicate Rows.mp4 (45.9 MB)
      • 003 Removing Duplicate Rows_en.srt (9.8 KB)
      • 004 Renaming Column Labels.mp4 (9.2 MB)
      • 004 Renaming Column Labels_en.srt (4.0 KB)
      • 005 Dropping Missing Values.mp4 (14.9 MB)
      • 005 Dropping Missing Values_en.srt (8.1 KB)
      • 006 Filling-in Missing Values.mp4 (9.7 MB)
      • 006 Filling-in Missing Values_en.srt (3.9 KB)
      • 007 Creating Dummy Variables.mp4 (21.9 MB)
      • 007 Creating Dummy Variables_en.srt (9.5 KB)
      • 008 Exporting Data into Files.mp4 (5.8 MB)
      • 008 Exporting Data into Files_en.srt (2.8 KB)
      • 009 Exercise #4 – Data Cleaning and Transformation.mp4 (1.0 MB)
      • 009 Exercise #4 – Data Cleaning and Transformation_en.srt (0.0 KB)
      • Exercise #4 – Data Cleaning and Transformation.ipynb (11.3 KB)
      • Solution #4 – Data Cleaning and Transformation.ipynb (88.9 KB)
      • titanic.csv (59.8 KB)
      06 - Course Summary
      • 001 Let's Recap and Thank You!.mp4 (32.9 MB)
      • 001 Let's Recap and Thank You!_en.srt (3.2 KB)
      • 002 BONUS.html (0.2 KB)
      • 002 List-of-My-Courses-2023.pdf (151.8 KB)
      • Bonus Resources.txt (0.4 KB)

Description

Machine Learning for Absolute Beginners - Level 2

https://DevCourseWeb.com

Last updated 10/2023
Duration: 4h | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 710 MB
Genre: eLearning | Language: English

Learn the Python Fundamentals and Pandas Library for Data Science Projects

What you'll learn
Python for Data Science and Machine Learning Projects
Learn to use the Pandas Data Science Library
JupyterLab Development tool
Develop Jupyter Notebooks
Loading and Analysing Tabular Datasets
Selecting, Filtering, and Cleaning Data
Grouping, Sorting, and Exporting Data

Requirements
There are no specific prerequisites for starting this training as it is designed for absolute beginners.
It is recommended to start with "Machine Learning for Absolute Beginners - Level 1"
Description
********* Feedback from Students ************
There's not much I can say. This instructor knows how to teach people, especially beginners. One of the best I've come across so far!
Irlon T.
Excellent course, allows you to go step by step and get to know the bookcase, direct to the point thank you for such good teaching
Jesus David
I am currently new in data science, I knew Python language and Competitive programming after that I was waiting to learn data science by myself. This course really very helpful for me to learn new things and data science and machine learning. I am really waiting for this new part (Level 3).
Animesh K.
A fantastic course for getting the knowledge of pandas in depth along with ML applications. This is what I am searching for. It had better if it has some more quiz questions to test our skills and understanding. Enjoyed a lot.
Anshika Verma
***********************************************
Unleash the Power of ML
Machine Learning



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Udemy - Machine Learning for Absolute Beginners - Level 2


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710.6 MB
seeders:17
leechers:10
Udemy - Machine Learning for Absolute Beginners - Level 2


Torrent hash: F80449768ED0DF7EDA1E20EB0CDFD564AD377D05