01. Introduction to the Course/1. What is Machine Learning.mp445.3 MB
01. Introduction to the Course/1. What is Machine Learning.vtt5.8 KB
01. Introduction to the Course/2. What is Data Science.mp442.9 MB
01. Introduction to the Course/2. What is Data Science.vtt4.9 KB
01. Introduction to the Course/3. Download the Syllabus.html1 KB
01. Introduction to the Course/3.1 ML Data Science Syllabus.pdf.pdf104 KB
01. Introduction to the Course/4. Top Tips for Succeeding on this Course.html2.1 KB
01. Introduction to the Course/4.1 App Brewery Cornell Notes Template.html141 B
01. Introduction to the Course/5. Course Resources List.html1.1 KB
02. Predict Movie Box Office Revenue with Linear Regression/1. Introduction to Linear Regression & Specifying the Problem.mp430.3 MB
02. Predict Movie Box Office Revenue with Linear Regression/1. Introduction to Linear Regression & Specifying the Problem.vtt7.3 KB
02. Predict Movie Box Office Revenue with Linear Regression/1.1 Course Resources.html122 B
02. Predict Movie Box Office Revenue with Linear Regression/2. Gather & Clean the Data.mp497 MB
02. Predict Movie Box Office Revenue with Linear Regression/2. Gather & Clean the Data.vtt11.7 KB
02. Predict Movie Box Office Revenue with Linear Regression/2.1 cost_revenue_dirty.csv.csv374.7 KB
02. Predict Movie Box Office Revenue with Linear Regression/2.2 The-Numbers Movie Budgets.html102 B
02. Predict Movie Box Office Revenue with Linear Regression/3. Explore & Visualise the Data with Python.mp4148.2 MB
02. Predict Movie Box Office Revenue with Linear Regression/3. Explore & Visualise the Data with Python.vtt26.4 KB
02. Predict Movie Box Office Revenue with Linear Regression/3.1 cost_revenue_clean.csv.csv90.8 KB
02. Predict Movie Box Office Revenue with Linear Regression/3.2 Try Jupyter in your Browser.html85 B
02. Predict Movie Box Office Revenue with Linear Regression/4. The Intuition behind the Linear Regression Model.mp429.6 MB
02. Predict Movie Box Office Revenue with Linear Regression/4. The Intuition behind the Linear Regression Model.vtt9.1 KB
02. Predict Movie Box Office Revenue with Linear Regression/4.1 01 Linear Regression (checkpoint).ipynb.zip.zip37.6 KB
02. Predict Movie Box Office Revenue with Linear Regression/5. Analyse and Evaluate the Results.mp4105.2 MB
02. Predict Movie Box Office Revenue with Linear Regression/5. Analyse and Evaluate the Results.vtt18.9 KB
02. Predict Movie Box Office Revenue with Linear Regression/6. Download the Complete Notebook Here.html242 B
02. Predict Movie Box Office Revenue with Linear Regression/6.1 01 Linear Regression (complete).ipynb.zip.zip75.3 KB
02. Predict Movie Box Office Revenue with Linear Regression/7. Join the Student Community.html730 B
03. Python Programming for Data Science and Machine Learning/1. Windows Users - Install Anaconda.mp449.6 MB
03. Python Programming for Data Science and Machine Learning/1. Windows Users - Install Anaconda.vtt7.5 KB
03. Python Programming for Data Science and Machine Learning/1.1 Course Resources.html122 B
03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4232.1 MB
03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.vtt30.4 KB
03. Python Programming for Data Science and Machine Learning/11. [Python] - Functions - Part 1 Defining and Calling Functions.mp441.6 MB
03. Python Programming for Data Science and Machine Learning/11. [Python] - Functions - Part 1 Defining and Calling Functions.vtt8.9 KB
03. Python Programming for Data Science and Machine Learning/12. Python Functions Coding Exercise - Part 1.html149 B
03. Python Programming for Data Science and Machine Learning/13. [Python] - Functions - Part 2 Arguments & Parameters.mp4128.2 MB
03. Python Programming for Data Science and Machine Learning/13. [Python] - Functions - Part 2 Arguments & Parameters.vtt17.6 KB
03. Python Programming for Data Science and Machine Learning/14. Python Functions Coding Exercise - Part 2.html149 B
03. Python Programming for Data Science and Machine Learning/15. [Python] - Functions - Part 3 Results & Return Values.mp482.6 MB
03. Python Programming for Data Science and Machine Learning/15. [Python] - Functions - Part 3 Results & Return Values.vtt14.1 KB
03. Python Programming for Data Science and Machine Learning/16. Python Functions Coding Exercise - Part 3.html149 B
03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4156.8 MB
03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.vtt25.2 KB
03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4171.5 MB
03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.vtt22.5 KB
03. Python Programming for Data Science and Machine Learning/19. Working with Python Objects to Analyse Data.vtt23 KB
03. Python Programming for Data Science and Machine Learning/2. Mac Users - Install Anaconda.mp452.4 MB
03. Python Programming for Data Science and Machine Learning/2. Mac Users - Install Anaconda.vtt6.8 KB
03. Python Programming for Data Science and Machine Learning/2.1 Course Resources.html122 B
03. Python Programming for Data Science and Machine Learning/20. [Python] - Tips, Code Style and Naming Conventions.mp481.5 MB
03. Python Programming for Data Science and Machine Learning/20. [Python] - Tips, Code Style and Naming Conventions.vtt14.1 KB
03. Python Programming for Data Science and Machine Learning/21. Download the Complete Notebook Here.html242 B
03. Python Programming for Data Science and Machine Learning/21.1 02 Python Intro.ipynb.zip.zip36.4 KB
03. Python Programming for Data Science and Machine Learning/3. Does LSD Make You Better at Maths.mp442.3 MB
03. Python Programming for Data Science and Machine Learning/3. Does LSD Make You Better at Maths.vtt6.2 KB
03. Python Programming for Data Science and Machine Learning/4. Download the 12 Rules to Learn to Code.html1.1 KB
03. Python Programming for Data Science and Machine Learning/4.1 12 Rules to Learn to Code.pdf.pdf2.2 MB
03. Python Programming for Data Science and Machine Learning/5. [Python] - Variables and Types.mp471.4 MB
03. Python Programming for Data Science and Machine Learning/5. [Python] - Variables and Types.vtt14.2 KB
03. Python Programming for Data Science and Machine Learning/6. Python Variable Coding Exercise.html149 B
03. Python Programming for Data Science and Machine Learning/7. [Python] - Lists and Arrays.mp453.5 MB
03. Python Programming for Data Science and Machine Learning/7. [Python] - Lists and Arrays.mp4.jpg59 KB
03. Python Programming for Data Science and Machine Learning/7. [Python] - Lists and Arrays.txt235 B
03. Python Programming for Data Science and Machine Learning/7. [Python] - Lists and Arrays.vtt10.5 KB
03. Python Programming for Data Science and Machine Learning/8. Python Lists Coding Exercise.html149 B
03. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.mp4153.2 MB
03. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.vtt24 KB
03. Python Programming for Data Science and Machine Learning/9.1 lsd_math_score_data.csv.csv155 B
04. Introduction to Optimisation and the Gradient Descent Algorithm/1. What's Coming Up.mp420.9 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/1. What's Coming Up.vtt3.2 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/1.1 Course Resources.html122 B
04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4236.6 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.vtt31.3 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4193.5 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.vtt22.8 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/12. Understanding Partial Derivatives and How to use SymPy.mp4132.8 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/12. Understanding Partial Derivatives and How to use SymPy.vtt17.4 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/13. Implementing Batch Gradient Descent with SymPy.mp486.8 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/13. Implementing Batch Gradient Descent with SymPy.vtt11.2 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/14. [Python] - Loops and Performance Considerations.mp4131.1 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/14. [Python] - Loops and Performance Considerations.vtt15.5 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/2. How a Machine Learns.mp422.8 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/2. How a Machine Learns.vtt6.1 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/3. Introduction to Cost Functions.mp466.2 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/3. Introduction to Cost Functions.vtt7.9 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/4. LaTeX Markdown and Generating Data with Numpy.mp490.5 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/4. LaTeX Markdown and Generating Data with Numpy.vtt14.7 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/5. Understanding the Power Rule & Creating Charts with Subplots.mp490.2 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/5. Understanding the Power Rule & Creating Charts with Subplots.vtt15.2 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4287.5 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.vtt35.9 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/7. Python Loops Coding Exercise.html149 B
04. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4291.3 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).vtt36.4 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4219 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).vtt28.5 KB