Udemy - Introduction to Machine Learning for Data Science

Category: Tutorial


Posted on 2019-10-08, by phaelx.

Description



Date: March 2019
Author: David Valentine

Size: 3.5 GB
Format: MP4
Download     >>    https://earn4files.com/lkjbbeht044b
What you'll learn
   *Genuinely understand what Computer Science, Algorithms, Programming, Data, Big Data, Artificial Intelligence, Machine Learning, and Data Science is.
   *To understand how these different domains fit together, how they are different, and how to avoid the marketing fluff.
   *The Impacts Machine Learning and Data Science is having on society.
   *To really understand computer technology has changed the world, with an appreciation of scale.
   *To know what problems Machine Learning can solve, and how the Machine Learning Process works.
   *How to avoid problems with Machine Learning, to successfully implement it without losing your mind!


Course content

Introduction
   Course Promotion Video
   A special message for hard of hearing and ESL students
   Thank you for investing in this Course!
   Course Overview
   Secret sauce inside!: How to get the most out of this course.

Core Concepts
   Course Promotion Video
   A special message for hard of hearing and ESL students
   Thank you for investing in this Course!
   Course Overview
   Secret sauce inside!: How to get the most out of this course.
   Core Concepts Overview
   Computer Science - the `Train Wreck' Definition
   What's Data / 'I can see data everywhere!'
   Structured vs Unstructured Data
   Structured and Unstructured Data
   Computer Science - Definition Revisited & The Greatest 'lie' ever SOLD....
   What's big data?
   Big Data - Quiz
   What is Artificial Intelligence (AI)
   What is Machine Learning? - Part 1 - The ideas
   What is Machine Learning? - Part 2 - An Example
   What is data science?
   Recap & How do these relate to each other?

Impacts, Importance and examples
   Course Promotion Video
   A special message for hard of hearing and ESL students
   Thank you for investing in this Course!
   Course Overview
   Secret sauce inside!: How to get the most out of this course.
   Core Concepts Overview
   Computer Science - the `Train Wreck' Definition
   What's Data / 'I can see data everywhere!'
   Structured vs Unstructured Data
   Structured and Unstructured Data
   Computer Science - Definition Revisited & The Greatest 'lie' ever SOLD....
   What's big data?
   Big Data - Quiz
   What is Artificial Intelligence (AI)
   What is Machine Learning? - Part 1 - The ideas
   What is Machine Learning? - Part 2 - An Example
   What is data science?
   Recap & How do these relate to each other?
   Impacts, Importance and examples - Overview
   Why is this important now?
   Computers exploding! - The explosive growth of computer power explained.
   What problems does Machine Learning Solve?
   Where it's transforming our lives

The Machine Learning Process
   Course Promotion Video
   A special message for hard of hearing and ESL students
   Thank you for investing in this Course!
   Course Overview
   Secret sauce inside!: How to get the most out of this course.
   Core Concepts Overview
   Computer Science - the `Train Wreck' Definition
   What's Data / 'I can see data everywhere!'
   Structured vs Unstructured Data
   Structured and Unstructured Data
   Computer Science - Definition Revisited & The Greatest 'lie' ever SOLD....
   What's big data?
   Big Data - Quiz
   What is Artificial Intelligence (AI)
   What is Machine Learning? - Part 1 - The ideas
   What is Machine Learning? - Part 2 - An Example
   What is data science?
   Recap & How do these relate to each other?
   Impacts, Importance and examples - Overview
   Why is this important now?
   Computers exploding! - The explosive growth of computer power explained.
   What problems does Machine Learning Solve?
   Where it's transforming our lives
   The Machine Learning Process - Overview
   5 Step Machine Learning Process Overview
   1 - Asking the right question
   2 - Identifying, obtaining, and preparing the right data
   3 - Identifying and applying a ML Algorithm
   4 - Evaluating the performance of the model and adjusting
   5 - Using and presenting the model
   Machine Learning - Process

How to apply Machine Learning for Data Science
   Course Promotion Video
   A special message for hard of hearing and ESL students
   Thank you for investing in this Course!
   Course Overview
   Secret sauce inside!: How to get the most out of this course.
   Core Concepts Overview
   Computer Science - the `Train Wreck' Definition
   What's Data / 'I can see data everywhere!'
   Structured vs Unstructured Data
   Structured and Unstructured Data
   Computer Science - Definition Revisited & The Greatest 'lie' ever SOLD....
   What's big data?
   Big Data - Quiz
   What is Artificial Intelligence (AI)
   What is Machine Learning? - Part 1 - The ideas
   What is Machine Learning? - Part 2 - An Example
   What is data science?
   Recap & How do these relate to each other?
   Impacts, Importance and examples - Overview
   Why is this important now?
   Computers exploding! - The explosive growth of computer power explained.
   What problems does Machine Learning Solve?
   Where it's transforming our lives
   The Machine Learning Process - Overview
   5 Step Machine Learning Process Overview
   1 - Asking the right question
   2 - Identifying, obtaining, and preparing the right data
   3 - Identifying and applying a ML Algorithm
   4 - Evaluating the performance of the model and adjusting
   5 - Using and presenting the model
   Machine Learning - Process
   How to apply Machine Learning for Data Science - Overview
   Where to begin your journey
   Common platforms and tools for Data Science
   Data Science using - R
   Data Science using - Python
   Data Science using SQL
   Data Science using Excel
   Data Science using RapidMiner
   Cautionary Tales

Conclusion
   Course Promotion Video
   A special message for hard of hearing and ESL students
   Thank you for investing in this Course!
   Course Overview
   Secret sauce inside!: How to get the most out of this course.
   Core Concepts Overview
   Computer Science - the `Train Wreck' Definition
   What's Data / 'I can see data everywhere!'
   Structured vs Unstructured Data
   Structured and Unstructured Data
   Computer Science - Definition Revisited & The Greatest 'lie' ever SOLD....
   What's big data?
   Big Data - Quiz
   What is Artificial Intelligence (AI)
   What is Machine Learning? - Part 1 - The ideas
   What is Machine Learning? - Part 2 - An Example
   What is data science?
   Recap & How do these relate to each other?
   Impacts, Importance and examples - Overview
   Why is this important now?
   Computers exploding! - The explosive growth of computer power explained.
   What problems does Machine Learning Solve?
   Where it's transforming our lives
   The Machine Learning Process - Overview
   5 Step Machine Learning Process Overview
   1 - Asking the right question
   2 - Identifying, obtaining, and preparing the right data
   3 - Identifying and applying a ML Algorithm
   4 - Evaluating the performance of the model and adjusting
   5 - Using and presenting the model
   Machine Learning - Process
   How to apply Machine Learning for Data Science - Overview
   Where to begin your journey
   Common platforms and tools for Data Science
   Data Science using - R
   Data Science using - Python
   Data Science using SQL
   Data Science using Excel
   Data Science using RapidMiner
   Cautionary Tales
   All done! What's next?

Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners
   Course Promotion Video
   A special message for hard of hearing and ESL students
   Thank you for investing in this Course!
   Course Overview
   Secret sauce inside!: How to get the most out of this course.
   Core Concepts Overview
   Computer Science - the `Train Wreck' Definition
   What's Data / 'I can see data everywhere!'
   Structured vs Unstructured Data
   Structured and Unstructured Data
   Computer Science - Definition Revisited & The Greatest 'lie' ever SOLD....
   What's big data?
   Big Data - Quiz
   What is Artificial Intelligence (AI)
   What is Machine Learning? - Part 1 - The ideas
   What is Machine Learning? - Part 2 - An Example
   What is data science?
   Recap & How do these relate to each other?
   Impacts, Importance and examples - Overview
   Why is this important now?
   Computers exploding! - The explosive growth of computer power explained.
   What problems does Machine Learning Solve?
   Where it's transforming our lives
   The Machine Learning Process - Overview
   5 Step Machine Learning Process Overview
   1 - Asking the right question
   2 - Identifying, obtaining, and preparing the right data
   3 - Identifying and applying a ML Algorithm
   4 - Evaluating the performance of the model and adjusting
   5 - Using and presenting the model
   Machine Learning - Process
   How to apply Machine Learning for Data Science - Overview
   Where to begin your journey
   Common platforms and tools for Data Science
   Data Science using - R
   Data Science using - Python
   Data Science using SQL
   Data Science using Excel
   Data Science using RapidMiner
   Cautionary Tales
   All done! What's next?
   Introduction and Anaconda Installation
   What will we cover!
   Introduction and Setup

Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners
   Course Promotion Video
   A special message for hard of hearing and ESL students
   Thank you for investing in this Course!
   Course Overview
   Secret sauce inside!: How to get the most out of this course.
   Core Concepts Overview
   Computer Science - the `Train Wreck' Definition
   What's Data / 'I can see data everywhere!'
   Structured vs Unstructured Data
   Structured and Unstructured Data
   Computer Science - Definition Revisited & The Greatest 'lie' ever SOLD....
   What's big data?
   Big Data - Quiz
   What is Artificial Intelligence (AI)
   What is Machine Learning? - Part 1 - The ideas
   What is Machine Learning? - Part 2 - An Example
   What is data science?
   Recap & How do these relate to each other?
   Impacts, Importance and examples - Overview
   Why is this important now?
   Computers exploding! - The explosive growth of computer power explained.
   What problems does Machine Learning Solve?
   Where it's transforming our lives
   The Machine Learning Process - Overview
   5 Step Machine Learning Process Overview
   1 - Asking the right question
   2 - Identifying, obtaining, and preparing the right data
   3 - Identifying and applying a ML Algorithm
   4 - Evaluating the performance of the model and adjusting
   5 - Using and presenting the model
   Machine Learning - Process
   How to apply Machine Learning for Data Science - Overview
   Where to begin your journey
   Common platforms and tools for Data Science
   Data Science using - R
   Data Science using - Python
   Data Science using SQL
   Data Science using Excel
   Data Science using RapidMiner
   Cautionary Tales
   All done! What's next?
   Introduction and Anaconda Installation
   What will we cover!
   Introduction and Setup
   Crash course in Python - Beginning concepts
   Crash course in Python - Strings, Slices and Lists!
   Crash course in Python - Expressions, Operators, Conditions and Loops
   Crash course in Python - Functions, Scope, Dictionaries and more!

Section 3 - Bonus course - Machine Learning in Python and Jupyter for Beginners
   Course Promotion Video
   A special message for hard of hearing and ESL students
   Thank you for investing in this Course!
   Course Overview
   Secret sauce inside!: How to get the most out of this course.
   Core Concepts Overview
   Computer Science - the `Train Wreck' Definition
   What's Data / 'I can see data everywhere!'
   Structured vs Unstructured Data
   Structured and Unstructured Data
   Computer Science - Definition Revisited & The Greatest 'lie' ever SOLD....
   What's big data?
   Big Data - Quiz
   What is Artificial Intelligence (AI)
   What is Machine Learning? - Part 1 - The ideas
   What is Machine Learning? - Part 2 - An Example
   What is data science?
   Recap & How do these relate to each other?
   Impacts, Importance and examples - Overview
   Why is this important now?
   Computers exploding! - The explosive growth of computer power explained.
   What problems does Machine Learning Solve?
   Where it's transforming our lives
   The Machine Learning Process - Overview
   5 Step Machine Learning Process Overview
   1 - Asking the right question
   2 - Identifying, obtaining, and preparing the right data
   3 - Identifying and applying a ML Algorithm
   4 - Evaluating the performance of the model and adjusting
   5 - Using and presenting the model
   Machine Learning - Process
   How to apply Machine Learning for Data Science - Overview
   Where to begin your journey
   Common platforms and tools for Data Science
   Data Science using - R
   Data Science using - Python
   Data Science using SQL
   Data Science using Excel
   Data Science using RapidMiner
   Cautionary Tales
   All done! What's next?
   Introduction and Anaconda Installation
   What will we cover!
   Introduction and Setup
   Crash course in Python - Beginning concepts
   Crash course in Python - Strings, Slices and Lists!
   Crash course in Python - Expressions, Operators, Conditions and Loops
   Crash course in Python - Functions, Scope, Dictionaries and more!
   Hands on Running Python

Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners
   Course Promotion Video
   A special message for hard of hearing and ESL students
   Thank you for investing in this Course!
   Course Overview
   Secret sauce inside!: How to get the most out of this course.
   Core Concepts Overview
   Computer Science - the `Train Wreck' Definition
   What's Data / 'I can see data everywhere!'
   Structured vs Unstructured Data
   Structured and Unstructured Data
   Computer Science - Definition Revisited & The Greatest 'lie' ever SOLD....
   What's big data?
   Big Data - Quiz
   What is Artificial Intelligence (AI)
   What is Machine Learning? - Part 1 - The ideas
   What is Machine Learning? - Part 2 - An Example
   What is data science?
   Recap & How do these relate to each other?
   Impacts, Importance and examples - Overview
   Why is this important now?
   Computers exploding! - The explosive growth of computer power explained.
   What problems does Machine Learning Solve?
   Where it's transforming our lives
   The Machine Learning Process - Overview
   5 Step Machine Learning Process Overview
   1 - Asking the right question
   2 - Identifying, obtaining, and preparing the right data
   3 - Identifying and applying a ML Algorithm
   4 - Evaluating the performance of the model and adjusting
   5 - Using and presenting the model
   Machine Learning - Process
   How to apply Machine Learning for Data Science - Overview
   Where to begin your journey
   Common platforms and tools for Data Science
   Data Science using - R
   Data Science using - Python
   Data Science using SQL
   Data Science using Excel
   Data Science using RapidMiner
   Cautionary Tales
   All done! What's next?
   Introduction and Anaconda Installation
   What will we cover!
   Introduction and Setup
   Crash course in Python - Beginning concepts
   Crash course in Python - Strings, Slices and Lists!
   Crash course in Python - Expressions, Operators, Conditions and Loops
   Crash course in Python - Functions, Scope, Dictionaries and more!
   Hands on Running Python
   Foundations of Machine Learning and Data Science - Definitions and concepts.
   Foundations of Machine Learning and Data Science - Machine Learning Workflow
   Foundations of Machine Learning and Data Science - Algorithms, concepts and more

Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners
   Course Promotion Video
   A special message for hard of hearing and ESL students
   Thank you for investing in this Course!
   Course Overview
   Secret sauce inside!: How to get the most out of this course.
   Core Concepts Overview
   Computer Science - the `Train Wreck' Definition
   What's Data / 'I can see data everywhere!'
   Structured vs Unstructured Data
   Structured and Unstructured Data
   Computer Science - Definition Revisited & The Greatest 'lie' ever SOLD....
   What's big data?
   Big Data - Quiz
   What is Artificial Intelligence (AI)
   What is Machine Learning? - Part 1 - The ideas
   What is Machine Learning? - Part 2 - An Example
   What is data science?
   Recap & How do these relate to each other?
   Impacts, Importance and examples - Overview
   Why is this important now?
   Computers exploding! - The explosive growth of computer power explained.
   What problems does Machine Learning Solve?
   Where it's transforming our lives
   The Machine Learning Process - Overview
   5 Step Machine Learning Process Overview
   1 - Asking the right question
   2 - Identifying, obtaining, and preparing the right data
   3 - Identifying and applying a ML Algorithm
   4 - Evaluating the performance of the model and adjusting
   5 - Using and presenting the model
   Machine Learning - Process
   How to apply Machine Learning for Data Science - Overview
   Where to begin your journey
   Common platforms and tools for Data Science
   Data Science using - R
   Data Science using - Python
   Data Science using SQL
   Data Science using Excel
   Data Science using RapidMiner
   Cautionary Tales
   All done! What's next?
   Introduction and Anaconda Installation
   What will we cover!
   Introduction and Setup
   Crash course in Python - Beginning concepts
   Crash course in Python - Strings, Slices and Lists!
   Crash course in Python - Expressions, Operators, Conditions and Loops
   Crash course in Python - Functions, Scope, Dictionaries and more!
   Hands on Running Python
   Foundations of Machine Learning and Data Science - Definitions and concepts.
   Foundations of Machine Learning and Data Science - Machine Learning Workflow
   Foundations of Machine Learning and Data Science - Algorithms, concepts and more
   Introducing the essential modules for Machine Learning, and NumPy Basics
   Pandas and Matplotlib
   Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn

Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners
   Course Promotion Video
   A special message for hard of hearing and ESL students
   Thank you for investing in this Course!
   Course Overview
   Secret sauce inside!: How to get the most out of this course.
   Core Concepts Overview
   Computer Science - the `Train Wreck' Definition
   What's Data / 'I can see data everywhere!'
   Structured vs Unstructured Data
   Structured and Unstructured Data
   Computer Science - Definition Revisited & The Greatest 'lie' ever SOLD....
   What's big data?
   Big Data - Quiz
   What is Artificial Intelligence (AI)
   What is Machine Learning? - Part 1 - The ideas
   What is Machine Learning? - Part 2 - An Example
   What is data science?
   Recap & How do these relate to each other?
   Impacts, Importance and examples - Overview
   Why is this important now?
   Computers exploding! - The explosive growth of computer power explained.
   What problems does Machine Learning Solve?
   Where it's transforming our lives
   The Machine Learning Process - Overview
   5 Step Machine Learning Process Overview
   1 - Asking the right question
   2 - Identifying, obtaining, and preparing the right data
   3 - Identifying and applying a ML Algorithm
   4 - Evaluating the performance of the model and adjusting
   5 - Using and presenting the model
   Machine Learning - Process
   How to apply Machine Learning for Data Science - Overview
   Where to begin your journey
   Common platforms and tools for Data Science
   Data Science using - R
   Data Science using - Python
   Data Science using SQL
   Data Science using Excel
   Data Science using RapidMiner
   Cautionary Tales
   All done! What's next?
   Introduction and Anaconda Installation
   What will we cover!
   Introduction and Setup
   Crash course in Python - Beginning concepts
   Crash course in Python - Strings, Slices and Lists!
   Crash course in Python - Expressions, Operators, Conditions and Loops
   Crash course in Python - Functions, Scope, Dictionaries and more!
   Hands on Running Python
   Foundations of Machine Learning and Data Science - Definitions and concepts.
   Foundations of Machine Learning and Data Science - Machine Learning Workflow
   Foundations of Machine Learning and Data Science - Algorithms, concepts and more
   Introducing the essential modules for Machine Learning, and NumPy Basics
   Pandas and Matplotlib
   Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn
   A Titanic Example - Getting our start.
   A Titanic Example - Understanding the data set.
   A Titanic Example - Understanding the data set in regards to survival
   A Titanic Example - Preparing the right data and applying a basic algorithm
   A Titanic Example - Applying regression algorithms.
   A Titanic Example - Applying Decision Trees (example of overfit and underfit)

Section 7 -Bonus course - Machine Learning in Python and Jupyter for Beginners
   Course Promotion Video
   A special message for hard of hearing and ESL students
   Thank you for investing in this Course!
   Course Overview
   Secret sauce inside!: How to get the most out of this course.
   Core Concepts Overview
   Computer Science - the `Train Wreck' Definition
   What's Data / 'I can see data everywhere!'
   Structured vs Unstructured Data
   Structured and Unstructured Data
   Computer Science - Definition Revisited & The Greatest 'lie' ever SOLD....
   What's big data?
   Big Data - Quiz
   What is Artificial Intelligence (AI)
   What is Machine Learning? - Part 1 - The ideas
   What is Machine Learning? - Part 2 - An Example
   What is data science?
   Recap & How do these relate to each other?
   Impacts, Importance and examples - Overview
   Why is this important now?
   Computers exploding! - The explosive growth of computer power explained.
   What problems does Machine Learning Solve?
   Where it's transforming our lives
   The Machine Learning Process - Overview
   5 Step Machine Learning Process Overview
   1 - Asking the right question
   2 - Identifying, obtaining, and preparing the right data
   3 - Identifying and applying a ML Algorithm
   4 - Evaluating the performance of the model and adjusting
   5 - Using and presenting the model
   Machine Learning - Process
   How to apply Machine Learning for Data Science - Overview
   Where to begin your journey
   Common platforms and tools for Data Science
   Data Science using - R
   Data Science using - Python
   Data Science using SQL
   Data Science using Excel
   Data Science using RapidMiner
   Cautionary Tales
   All done! What's next?
   Introduction and Anaconda Installation
   What will we cover!
   Introduction and Setup
   Crash course in Python - Beginning concepts
   Crash course in Python - Strings, Slices and Lists!
   Crash course in Python - Expressions, Operators, Conditions and Loops
   Crash course in Python - Functions, Scope, Dictionaries and more!
   Hands on Running Python
   Foundations of Machine Learning and Data Science - Definitions and concepts.
   Foundations of Machine Learning and Data Science - Machine Learning Workflow
   Foundations of Machine Learning and Data Science - Algorithms, concepts and more
   Introducing the essential modules for Machine Learning, and NumPy Basics
   Pandas and Matplotlib
   Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn
   A Titanic Example - Getting our start.
   A Titanic Example - Understanding the data set.
   A Titanic Example - Understanding the data set in regards to survival
   A Titanic Example - Preparing the right data and applying a basic algorithm
   A Titanic Example - Applying regression algorithms.
   A Titanic Example - Applying Decision Trees (example of overfit and underfit)
   Conclusions - for our Titanic Example, important concepts and where to go next!

Bonus Content
   Course Promotion Video
   A special message for hard of hearing and ESL students
   Thank you for investing in this Course!
   Course Overview
   Secret sauce inside!: How to get the most out of this course.
   Core Concepts Overview
   Computer Science - the `Train Wreck' Definition
   What's Data / 'I can see data everywhere!'
   Structured vs Unstructured Data
   Structured and Unstructured Data
   Computer Science - Definition Revisited & The Greatest 'lie' ever SOLD....
   What's big data?
   Big Data - Quiz
   What is Artificial Intelligence (AI)
   What is Machine Learning? - Part 1 - The ideas
   What is Machine Learning? - Part 2 - An Example
   What is data science?
   Recap & How do these relate to each other?
   Impacts, Importance and examples - Overview
   Why is this important now?
   Computers exploding! - The explosive growth of computer power explained.
   What problems does Machine Learning Solve?
   Where it's transforming our lives
   The Machine Learning Process - Overview
   5 Step Machine Learning Process Overview
   1 - Asking the right question
   2 - Identifying, obtaining, and preparing the right data
   3 - Identifying and applying a ML Algorithm
   4 - Evaluating the performance of the model and adjusting
   5 - Using and presenting the model
   Machine Learning - Process
   How to apply Machine Learning for Data Science - Overview
   Where to begin your journey
   Common platforms and tools for Data Science
   Data Science using - R
   Data Science using - Python
   Data Science using SQL
   Data Science using Excel
   Data Science using RapidMiner
   Cautionary Tales
   All done! What's next?
   Introduction and Anaconda Installation
   What will we cover!
   Introduction and Setup
   Crash course in Python - Beginning concepts
   Crash course in Python - Strings, Slices and Lists!
   Crash course in Python - Expressions, Operators, Conditions and Loops
   Crash course in Python - Functions, Scope, Dictionaries and more!
   Hands on Running Python
   Foundations of Machine Learning and Data Science - Definitions and concepts.
   Foundations of Machine Learning and Data Science - Machine Learning Workflow
   Foundations of Machine Learning and Data Science - Algorithms, concepts and more
   Introducing the essential modules for Machine Learning, and NumPy Basics
   Pandas and Matplotlib
   Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn
   A Titanic Example - Getting our start.
   A Titanic Example - Understanding the data set.
   A Titanic Example - Understanding the data set in regards to survival
   A Titanic Example - Preparing the right data and applying a basic algorithm
   A Titanic Example - Applying regression algorithms.
   A Titanic Example - Applying Decision Trees (example of overfit and underfit)
   Conclusions - for our Titanic Example, important concepts and where to go next!
   Bonus Article - The startling breakthrough in Machine Learning from 2016.


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