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[UdemyCourseDownloader] Complete Data Science & Machine Learning Bootcamp – Python 3

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98
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File list
  • [UdemyCourseDownloader] Complete Data Science & Machine Learning Bootcamp – Python 3
  • 01. Introduction to the Course/1. What is Machine Learning.mp4 45.3 MB
  • 01. Introduction to the Course/1. What is Machine Learning.vtt 5.8 KB
  • 01. Introduction to the Course/2. What is Data Science.mp4 42.9 MB
  • 01. Introduction to the Course/2. What is Data Science.vtt 4.9 KB
  • 01. Introduction to the Course/3. Download the Syllabus.html 1 KB
  • 01. Introduction to the Course/3.1 ML Data Science Syllabus.pdf.pdf 104 KB
  • 01. Introduction to the Course/4. Top Tips for Succeeding on this Course.html 2.1 KB
  • 01. Introduction to the Course/4.1 App Brewery Cornell Notes Template.html 141 B
  • 01. Introduction to the Course/5. Course Resources List.html 1.1 KB
  • 02. Predict Movie Box Office Revenue with Linear Regression/1. Introduction to Linear Regression & Specifying the Problem.mp4 30.3 MB
  • 02. Predict Movie Box Office Revenue with Linear Regression/1. Introduction to Linear Regression & Specifying the Problem.vtt 7.3 KB
  • 02. Predict Movie Box Office Revenue with Linear Regression/1.1 Course Resources.html 122 B
  • 02. Predict Movie Box Office Revenue with Linear Regression/2. Gather & Clean the Data.mp4 97 MB
  • 02. Predict Movie Box Office Revenue with Linear Regression/2. Gather & Clean the Data.vtt 11.7 KB
  • 02. Predict Movie Box Office Revenue with Linear Regression/2.1 cost_revenue_dirty.csv.csv 374.7 KB
  • 02. Predict Movie Box Office Revenue with Linear Regression/2.2 The-Numbers Movie Budgets.html 102 B
  • 02. Predict Movie Box Office Revenue with Linear Regression/3. Explore & Visualise the Data with Python.mp4 148.2 MB
  • 02. Predict Movie Box Office Revenue with Linear Regression/3. Explore & Visualise the Data with Python.vtt 26.4 KB
  • 02. Predict Movie Box Office Revenue with Linear Regression/3.1 cost_revenue_clean.csv.csv 90.8 KB
  • 02. Predict Movie Box Office Revenue with Linear Regression/3.2 Try Jupyter in your Browser.html 85 B
  • 02. Predict Movie Box Office Revenue with Linear Regression/4. The Intuition behind the Linear Regression Model.mp4 29.6 MB
  • 02. Predict Movie Box Office Revenue with Linear Regression/4. The Intuition behind the Linear Regression Model.vtt 9.1 KB
  • 02. Predict Movie Box Office Revenue with Linear Regression/4.1 01 Linear Regression (checkpoint).ipynb.zip.zip 37.6 KB
  • 02. Predict Movie Box Office Revenue with Linear Regression/5. Analyse and Evaluate the Results.mp4 105.2 MB
  • 02. Predict Movie Box Office Revenue with Linear Regression/5. Analyse and Evaluate the Results.vtt 18.9 KB
  • 02. Predict Movie Box Office Revenue with Linear Regression/6. Download the Complete Notebook Here.html 242 B
  • 02. Predict Movie Box Office Revenue with Linear Regression/6.1 01 Linear Regression (complete).ipynb.zip.zip 75.3 KB
  • 02. Predict Movie Box Office Revenue with Linear Regression/7. Join the Student Community.html 730 B
  • 03. Python Programming for Data Science and Machine Learning/1. Windows Users - Install Anaconda.mp4 49.6 MB
  • 03. Python Programming for Data Science and Machine Learning/1. Windows Users - Install Anaconda.vtt 7.5 KB
  • 03. Python Programming for Data Science and Machine Learning/1.1 Course Resources.html 122 B
  • 03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 232.1 MB
  • 03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.vtt 30.4 KB
  • 03. Python Programming for Data Science and Machine Learning/11. [Python] - Functions - Part 1 Defining and Calling Functions.mp4 41.6 MB
  • 03. Python Programming for Data Science and Machine Learning/11. [Python] - Functions - Part 1 Defining and Calling Functions.vtt 8.9 KB
  • 03. Python Programming for Data Science and Machine Learning/12. Python Functions Coding Exercise - Part 1.html 149 B
  • 03. Python Programming for Data Science and Machine Learning/13. [Python] - Functions - Part 2 Arguments & Parameters.mp4 128.2 MB
  • 03. Python Programming for Data Science and Machine Learning/13. [Python] - Functions - Part 2 Arguments & Parameters.vtt 17.6 KB
  • 03. Python Programming for Data Science and Machine Learning/14. Python Functions Coding Exercise - Part 2.html 149 B
  • 03. Python Programming for Data Science and Machine Learning/15. [Python] - Functions - Part 3 Results & Return Values.mp4 82.6 MB
  • 03. Python Programming for Data Science and Machine Learning/15. [Python] - Functions - Part 3 Results & Return Values.vtt 14.1 KB
  • 03. Python Programming for Data Science and Machine Learning/16. Python Functions Coding Exercise - Part 3.html 149 B
  • 03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4 156.8 MB
  • 03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.vtt 25.2 KB
  • 03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4 171.5 MB
  • 03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.vtt 22.5 KB
  • 03. Python Programming for Data Science and Machine Learning/19. Working with Python Objects to Analyse Data.vtt 23 KB
  • 03. Python Programming for Data Science and Machine Learning/2. Mac Users - Install Anaconda.mp4 52.4 MB
  • 03. Python Programming for Data Science and Machine Learning/2. Mac Users - Install Anaconda.vtt 6.8 KB
  • 03. Python Programming for Data Science and Machine Learning/2.1 Course Resources.html 122 B
  • 03. Python Programming for Data Science and Machine Learning/20. [Python] - Tips, Code Style and Naming Conventions.mp4 81.5 MB
  • 03. Python Programming for Data Science and Machine Learning/20. [Python] - Tips, Code Style and Naming Conventions.vtt 14.1 KB
  • 03. Python Programming for Data Science and Machine Learning/21. Download the Complete Notebook Here.html 242 B
  • 03. Python Programming for Data Science and Machine Learning/21.1 02 Python Intro.ipynb.zip.zip 36.4 KB
  • 03. Python Programming for Data Science and Machine Learning/3. Does LSD Make You Better at Maths.mp4 42.3 MB
  • 03. Python Programming for Data Science and Machine Learning/3. Does LSD Make You Better at Maths.vtt 6.2 KB
  • 03. Python Programming for Data Science and Machine Learning/4. Download the 12 Rules to Learn to Code.html 1.1 KB
  • 03. Python Programming for Data Science and Machine Learning/4.1 12 Rules to Learn to Code.pdf.pdf 2.2 MB
  • 03. Python Programming for Data Science and Machine Learning/5. [Python] - Variables and Types.mp4 71.4 MB
  • 03. Python Programming for Data Science and Machine Learning/5. [Python] - Variables and Types.vtt 14.2 KB
  • 03. Python Programming for Data Science and Machine Learning/6. Python Variable Coding Exercise.html 149 B
  • 03. Python Programming for Data Science and Machine Learning/7. [Python] - Lists and Arrays.mp4 53.5 MB
  • 03. Python Programming for Data Science and Machine Learning/7. [Python] - Lists and Arrays.mp4.jpg 59 KB
  • 03. Python Programming for Data Science and Machine Learning/7. [Python] - Lists and Arrays.txt 235 B
  • 03. Python Programming for Data Science and Machine Learning/7. [Python] - Lists and Arrays.vtt 10.5 KB
  • 03. Python Programming for Data Science and Machine Learning/8. Python Lists Coding Exercise.html 149 B
  • 03. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.mp4 153.2 MB
  • 03. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.vtt 24 KB
  • 03. Python Programming for Data Science and Machine Learning/9.1 lsd_math_score_data.csv.csv 155 B
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/1. What's Coming Up.mp4 20.9 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/1. What's Coming Up.vtt 3.2 KB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/1.1 Course Resources.html 122 B
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 236.6 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.vtt 31.3 KB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 193.5 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.vtt 22.8 KB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/12. Understanding Partial Derivatives and How to use SymPy.mp4 132.8 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/12. Understanding Partial Derivatives and How to use SymPy.vtt 17.4 KB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/13. Implementing Batch Gradient Descent with SymPy.mp4 86.8 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/13. Implementing Batch Gradient Descent with SymPy.vtt 11.2 KB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/14. [Python] - Loops and Performance Considerations.mp4 131.1 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/14. [Python] - Loops and Performance Considerations.vtt 15.5 KB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/2. How a Machine Learns.mp4 22.8 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/2. How a Machine Learns.vtt 6.1 KB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/3. Introduction to Cost Functions.mp4 66.2 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/3. Introduction to Cost Functions.vtt 7.9 KB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/4. LaTeX Markdown and Generating Data with Numpy.mp4 90.5 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/4. LaTeX Markdown and Generating Data with Numpy.vtt 14.7 KB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/5. Understanding the Power Rule & Creating Charts with Subplots.mp4 90.2 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/5. Understanding the Power Rule & Creating Charts with Subplots.vtt 15.2 KB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 287.5 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.vtt 35.9 KB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/7. Python Loops Coding Exercise.html 149 B
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 291.3 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).vtt 36.4 KB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 219 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).vtt 28.5 KB
  • Udemy Course downloader.txt 94 B

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