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By : Eduonix, Michael Mustaine
Released : Friday, March 29, 2019 [New Release!]
Torrent Contains : 80 Files, 15 Folders
Course Source : https://www.packtpub.com/application-development/python-and-data-science-practical-guide-video
Learn Data Science and Python to do Web Scraping, Data Analysis, Data Visualization, Machine Learning, Deep Learning...
Video Details
ISBN 9781838553012
Course Length 13 hours 9 minutes
Table of Contents
• INTRODUCTION
• ENVIRONMENT
• INTEGERS AND STRINGS
• IF STATEMENTS AND BASIC PROGRAMMING LOGIC
• LISTS, TUPLES, DICTIONARIES AND FOR/WHILE LOOPS
• FUNCTIONS AND PACKAGES
• PANDAS AND DATA FRAMES
• VISUALIZATION - SCATTER PLOTS, BAR PLOTS
• SCRAPING THE WEB WITH PYTHON
• BASICS OF NATURAL LANGUAGE PROCESSING (NLP)
• INTRODUCTION TO MACHINE LEARNING
• OPTIONAL CLASSES
• PROJECT #1 - ANALYZE AND VISUALIZE DATA ON KAGGLE
• PROJECT #2 - NATURAL LANGUAGE PROCESSING
• PROJECT #3 - CREATE A SIMPLE SUPPORT VECTOR MACHINE
Video Description
This course is designed to teach you the basics of Python and Data Science in a practical way, so that you can acquire, test, and master your Python skills gradually.
You’ll see that you'll learn all these things with Python:
• Using Variables & Strings
• Using Booleans & Logical Operators
• Using Functions & Packages
• Using Lists, Tuples and Dictionaries
• Using For & While Loops
• Using Panda & Data Frames
• Doing Data Visualization
• Scraping Web Data
• Doing some basic Natural Language Processing (NLP)
• Basics of Machine Learning & Deep Learning
And much more to come.
Style and Approach
This course is designed in a practical way to teach you the basics of Python and Data Science. A complete course packed with step-by-step instructions, working examples, and helpful advice. This course is clearly divided into small parts that will help you understand each part individually and help you learn at your own pace.
What You Will Learn
• How to set up your Python environment
• How to manipulate String & Variables with Python
• How to use Booleans & Logical Operators with Python
• How to use Functions & Packages with Python
• How to use Pandas & Data Frames with Python
• How to perform Data Visualization with Python
• How to do Web Scraping with Python
• The Basics of Natural Language Processing (NLP)
• The Basics of Deep Learning & Reinforcement Learning
Authors
Eduonix
Eduonix Learning Solutions creates and distributes high-quality technology training content. Their team of industry professionals have been training manpower for more than a decade. They aim to teach technology the way it is used in industry and the professional world. They have a professional team of trainers for technologies ranging from mobility, web to enterprise and database and server administration
Michael Mustaine
Michael Mustaine is a polymath with academic and professional experience in psychology and data science. He has created innovative human-centric analysis for user segmentation, feature selection, machine learning, and key performance metric generation specialized to individual client needs. Recent clients include: cryptocurrency hedgefunds, not-for-profit data journalists, and universities. He provide interpretable evaluations of complex behaviour with a degree of innovation that only comes from being a trailblazer in the field.
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[FreeCoursesOnline.Me] [Packt] Python and Data Science A Practical Guide [FCO]
01.Introduction
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0101.Introduction.mp4 (16.8 MB)
02.Environment
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0201.Introduction to data science.mp4 (235.0 MB)
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0202.Installing dependencies.mp4 (39.3 MB)
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0203.Real world examples.mp4 (30.1 MB)
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0204.Using Anaconda and Jupyter notebooks.mp4 (55.2 MB)
03.Integers and Strings
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0301.Introduction to variables.mp4 (58.6 MB)
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0302.Integers, floats, and math operators.mp4 (53.8 MB)
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0303.Strings and indexing part 1.mp4 (38.0 MB)
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0304.Strings and indexing part 2.mp4 (32.9 MB)
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0305.Using Modulo with Strings.mp4 (32.0 MB)
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0306.Problem.mp4 (10.8 MB)
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0307.Answer.mp4 (26.0 MB)
04.If Statements and Basic Programming Logic
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0401.Booleans and Comparison Operators.mp4 (48.1 MB)
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0402.If Else Statements.mp4 (38.7 MB)
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0403.Elif and Logic Operators.mp4 (41.7 MB)
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0404.Try Except Statements.mp4 (33.1 MB)
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0405.Finally Statements and Advance TryExcept Logic.mp4 (32.4 MB)
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0406.Exception Types.mp4 (51.2 MB)
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0407.Problem.mp4 (7.7 MB)
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0408.Answer.mp4 (25.1 MB)
05.Lists, Tuples, Dictionaries and ForWhile Loops
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0501.Lists and tuples.mp4 (71.0 MB)
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0502.Dictionaries.mp4 (64.0 MB)
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0503.For loops.mp4 (61.9 MB)
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0504.While loops.mp4 (34.7 MB)
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0505.Loop logic.mp4 (50.5 MB)
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0506.ListDictionary comprehensions.mp4 (47.3 MB)
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0507.Problem.mp4 (7.1 MB)
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0508.Answer.mp4 (42.3 MB)
06.Functions and Packages
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0601.Scripting in Python.mp4 (50.3 MB)
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0602.Functions.mp4 (49.5 MB)
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0603.Function parameters and scope.mp4 (39.9 MB)
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0604.Packages and pip.mp4 (49.0 MB)
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0605.Reading Files and the with statement.mp4 (67.0 MB)
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0606.Writing Out to Files.mp4 (81.0 MB)
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0607.Problem.mp4 (8.8 MB)
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0608.Answer.mp4 (31.5 MB)
07.Pandas and Data Frames
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0701.Pandas and data Frames.mp4 (51.1 MB)
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0702.Pandas part 2.mp4 (67.0 MB)
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0703.Introduction to statistics.mp4 (52.1 MB)
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0704.Statistics part 2.mp4 (40.7 MB)
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0705.Practical analysis.mp4 (59.5 MB)
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0706.Problem.mp4 (17.3 MB)
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0707.Answer.mp4 (23.4 MB)
08.Visualization - Scatter Plots, Bar Plots
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0801.Introduction to visualization.mp4 (52.7 MB)
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0802.Plotting and styling.mp4 (55.9 MB)
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0803.Scatter plots.mp4 (50.5 MB)
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0804.Bar Plots and standard deviation.mp4 (53.3 MB)
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0805.Problem.mp4 (12.6 MB)
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0806.Answer.mp4 (50.2 MB)
09.Scraping the Web with Python
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0901.Scraping and HTML.mp4 (47.6 MB)
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0902.Building a simple crawler.mp4 (47.3 MB)
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0903.Scraping data from HTML.mp4 (57.0 MB)
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0904.Problem.mp4 (11.6 MB)
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0905.Answer.mp4 (36.3 MB)
10.Basics of Natural Language Processing (NLP)
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1001.Introduction to NLP.mp4 (51.8 MB)
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1002.Basic NLP.mp4 (64.0 MB)
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1003.Introduction to sentiment analysis.mp4 (74.3 MB)
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1004.Problem.mp4 (8.3 MB)
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1005.Answer.mp4 (33.2 MB)
11.Introduction to Machine Learning
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1101.Introduction to machine learning.mp4 (60.4 MB)
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1102.Introduction to reinforcement learning.mp4 (19.6 MB)
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1103.Introduction to random forest modeling.mp4 (64.4 MB)
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1104.Introduction to deep learning.mp4 (61.4 MB)
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1105.Problem.mp4 (24.1 MB)
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1106.Answer.mp4 (29.7 MB)
12.Optional Classes
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1201.Python Style Guidelines.mp4 (44.3 MB)
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1202.Navigating Directories and os Package.mp4 (48.4 MB)
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1203.Creating a Class Type.mp4 (45.7 MB)
13.Project #1 - Analyze and visualize data on Kaggle
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1301.Project 1 - Analyze and visualize data on Kaggle.mp4 (17.8 MB)
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1302.Project 1 Answer.mp4 (11.9 MB)
14.Project #2 - Natural language processing
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1401.Project 2 - Natural language processing.mp4 (7.0 MB)
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1402.Project 2 Answer.mp4 (20.1 MB)
15.Project #3 - Create a simple support vector machine
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1501.Project 3 - Create a simple support vector machine.mp4 (19.6 MB)
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1502.Project 3 Answer.mp4 (43.1 MB)
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Discuss.FTUForum.com.html (31.9 KB)
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FreeCoursesOnline.Me.html (108.3 KB)
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FTUForum.com.html (100.4 KB)
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How you can help Team-FTU.txt (0.2 KB)
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[TGx]Downloaded from torrentgalaxy.org.txt (0.5 KB)
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Torrent Downloaded From GloDls.to.txt (0.1 KB)
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