Udemy - Python : Machine Learning, Deep Learning, Pandas, Matplotlib [Giga Course]

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[GigaCourse.Com] Udemy - Python Machine Learning, Deep Learning, Pandas, Matplotlib 0. Websites you may like
  • [GigaCourse.Com].url (0.0 KB)
01 Intro to Deep Learning with Python
  • 001 Introduction to Deep Learning with Python.en.srt (5.9 KB)
  • 001 Introduction to Deep Learning with Python.mp4 (14.5 MB)
  • 002 Project Files and Course Documents.html (1.2 KB)
02 Python Setup
  • 001 Installing Anaconda Distribution and Python.en.srt (4.8 KB)
  • 001 Installing Anaconda Distribution and Python.mp4 (37.5 MB)
  • 002 Overview of Jupyter Notebook and Google Colab.en.srt (6.0 KB)
  • 002 Overview of Jupyter Notebook and Google Colab.mp4 (25.4 MB)
03 Fundamentals of Python
  • 001 Data Types in Python.en.srt (14.1 KB)
  • 001 Data Types in Python.mp4 (41.1 MB)
  • 002 Operators in Python.en.srt (11.1 KB)
  • 002 Operators in Python.mp4 (29.6 MB)
  • 003 Conditionals.en.srt (10.0 KB)
  • 003 Conditionals.mp4 (34.6 MB)
  • 004 Loops.en.srt (12.4 KB)
  • 004 Loops.mp4 (49.1 MB)
  • 005 Lists, Tuples, Dictionaries and Sets.en.srt (18.2 KB)
  • 005 Lists, Tuples, Dictionaries and Sets.mp4 (66.3 MB)
  • 006 Data Type Operators and Methods.en.srt (9.3 KB)
  • 006 Data Type Operators and Methods.mp4 (40.5 MB)
  • 007 Modules in Python.en.srt (5.5 KB)
  • 007 Modules in Python.mp4 (21.1 MB)
  • 008 Functions in Python.en.srt (9.3 KB)
  • 008 Functions in Python.mp4 (26.1 MB)
  • 009 Exercise Analyse.en.srt (2.3 KB)
  • 009 Exercise Analyse.mp4 (5.7 MB)
  • 010 Exercise Solution.en.srt (6.6 KB)
  • 010 Exercise Solution.mp4 (47.7 MB)
  • [GigaCourse.Com].url (0.0 KB)
04 Object Oriented Programming
  • 001 Logic of OOP.en.srt (5.3 KB)
  • 001 Logic of OOP.mp4 (16.4 MB)
  • 002 Constructor.en.srt (7.2 KB)
  • 002 Constructor.mp4 (33.9 MB)
  • 003 Methods.en.srt (4.3 KB)
  • 003 Methods.mp4 (23.6 MB)
  • 004 Inheritance.en.srt (7.0 KB)
  • 004 Inheritance.mp4 (32.6 MB)
  • 005 Overriding and Overloading.en.srt (9.7 KB)
  • 005 Overriding and Overloading.mp4 (58.8 MB)
05 Numpy Library
  • 001 What is Numpy_.en.srt (7.6 KB)
  • 001 What is Numpy_.mp4 (26.7 MB)
  • 002 Why Numpy_.en.srt (5.0 KB)
  • 002 Why Numpy_.mp4 (13.6 MB)
  • 003 Array and features.en.srt (11.9 KB)
  • 003 Array and features.mp4 (47.9 MB)
  • 004 Array’s Operators.en.srt (4.4 KB)
  • 004 Array’s Operators.mp4 (17.6 MB)
  • 005 Numpy Functions.en.srt (19.9 KB)
  • 005 Numpy Functions.mp4 (78.5 MB)
  • 006 Indexing and Slicing.en.srt (9.0 KB)
  • 006 Indexing and Slicing.mp4 (40.4 MB)
  • 007 Numpy Exercises.en.srt (15.4 KB)
  • 007 Numpy Exercises.mp4 (74.2 MB)
  • 008 Using Numpy in Linear Algebra.en.srt (31.9 KB)
  • 008 Using Numpy in Linear Algebra.mp4 (112.2 MB)
  • 008 Using Numpy in Linear Algebra.mp4.vtx (442.5 KB)
  • 009 NumExpr Guide.en.srt (8.0 KB)
  • 009 NumExpr Guide.mp4 (42.2 MB)
06 Using Pandas for Data Manipulation
  • 001 What is Pandas_.en.srt (6.5 KB)
  • 001 What is Pandas_.mp4 (22.3 MB)
  • 002 Series and Features.en.srt (19.5 KB)
  • 002 Series and Features.mp4 (83.5 MB)
07 Data Frame with Pandas
  • 001 Data Frame Attributes and Methods Part – I.en.srt (16.2 KB)
  • 001 Data Frame Attributes and Methods Part – I.mp4 (79.8 MB)
  • 002 Data Frame attributes and Methods Part – II.en.srt (11.9 KB)
  • 002 Data Frame attributes and Methods Part – II.mp4 (57.0 MB)
  • 003 Data Frame attributes and Methods Part – III.en.srt (9.8 KB)
  • 003 Data Frame attributes and Methods Part – III.mp4 (48.1 MB)
  • 004 Multi index.en.srt (12.5 KB)
  • 004 Multi index.mp4 (50.8 MB)
  • 005 Groupby Operations.en.srt (12.8 KB)
  • 005 Groupby Operations.mp4 (52.6 MB)
  • 006 Missing Data and Data Munging Part I.en.srt (22.9 KB)
  • 006 Missing Data and Data Munging Part I.mp4 (79.3 MB)
  • 007 Missing Data and Data Munging Part II.en.srt (11.2 KB)
  • 007 Missing Data and Data Munging Part II.mp4 (40.8 MB)
  • 008 Dealing with Missing Data.en.srt (16.3 KB)
  • 008 Dealing with Missing Data.mp4 (69.2 MB)
  • 009 Combining Data Frames Part – I.en.srt (18.0 KB)
  • 009 Combining Data Frames Part – I.mp4 (103.6 MB)
  • 010 Combining Data Frames Part – II.en.srt (18.1 KB)
  • 010 Combining Data Frames Part – II.mp4 (84.2 MB)
  • 011 Work with Dataset Files.en.srt (12.1 KB)
  • 011 Work with Dataset Files.mp4 (70.7 MB)
08 Matplotlib
  • 001 Data Visualization with Python Masterclass.en.srt (3.7 KB)
  • 001 Data Visualization with Python Masterclass.mp4 (17.9 MB)
  • 002 Using Matplotlib.en.srt (7.9 KB)
  • 002 Using Matplotlib.mp4 (26.5 MB)
  • 003 Pyplot – Pylab - Matplotlib.en.srt (7.5 KB)
  • 003 Pyplot – Pylab - Matplotlib.mp4 (26.6 MB)
  • 004 Figure, Subplot and Axes.en.srt (18.2 KB)
  • 004 Figure, Subplot and Axes.mp4 (65.7 MB)
  • 005 Figure Customization.en.srt (14.5 KB)
  • 005 Figure Customization.mp4 (59.1 MB)
  • 006 Plot Customization.en.srt (6.9 KB)
  • 006 Plot Customization.mp4 (25.8 MB)
  • 007 Grid, Spines, Ticks.en.srt (8.5 KB)
  • 007 Grid, Spines, Ticks.mp4 (22.4 MB)
  • 008 Basic Plots in Matplotlib I.en.srt (31.5 KB)
  • 008 Basic Plots in Matplotlib I.mp4 (104.4 MB)
  • 009 Basic Plots in Matplotlib II.en.srt (16.2 KB)
  • 009 Basic Plots in Matplotlib II.mp4 (51.5 MB)
09 Seaborn
  • 001 What is Seaborn_.en.srt (5.2 KB)
  • 001 What is Seaborn_.mp4 (12.9 MB)
  • 002 Controlling Figure Aesthetics.en.srt (11.2 KB)
  • 002 Controlling Figure Aesthetics.mp4 (39.2 MB)

Description

Udemy - Python : Machine Learning, Deep Learning, Pandas, Matplotlib [Giga Course]

Complete hands-on deep learning tutorial with Python. Learn Machine Learning, Matplotlib, Seaborn, Geoplotlib | Python 3

Created by Oak Academy
Last updated 7/2021
English
English [Auto]

For More Udemy Courses Visit: https://gigacourse.com



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seeders:19
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Udemy - Python : Machine Learning, Deep Learning, Pandas, Matplotlib [Giga Course]
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