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Created by Philipp Muellauer, Dr. Angela Yu Last updated 8/2020 English English [Auto-generated]
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FILE LIST
Filename
Size
01 - Introduction to the Course/001 What is Machine Learning.mp4
40.4 MB
01 - Introduction to the Course/001 What is Machine Learning_en.vtt
6 KB
01 - Introduction to the Course/002 What is Data Science.mp4
39.8 MB
01 - Introduction to the Course/002 What is Data Science_en.vtt
5 KB
01 - Introduction to the Course/003 Download the Syllabus.html
994 B
01 - Introduction to the Course/004 Top Tips for Succeeding on this Course.html
2.1 KB
01 - Introduction to the Course/005 Course Resources List.html
1.1 KB
01 - Introduction to the Course/18162714-ML-Data-Science-Syllabus.pdf
104 KB
01 - Introduction to the Course/external-assets-links.txt
120 B
02 - Predict Movie Box Office Revenue with Linear Regression/001 Introduction to Linear Regression & Specifying the Problem.mp4
26.5 MB
02 - Predict Movie Box Office Revenue with Linear Regression/001 Introduction to Linear Regression & Specifying the Problem_en.vtt
7.6 KB
02 - Predict Movie Box Office Revenue with Linear Regression/002 Gather & Clean the Data.mp4
40.9 MB
02 - Predict Movie Box Office Revenue with Linear Regression/002 Gather & Clean the Data_en.vtt
12.2 KB
02 - Predict Movie Box Office Revenue with Linear Regression/003 Explore & Visualise the Data with Python.mp4
105.1 MB
02 - Predict Movie Box Office Revenue with Linear Regression/003 Explore & Visualise the Data with Python_en.vtt
27 KB
02 - Predict Movie Box Office Revenue with Linear Regression/004 The Intuition behind the Linear Regression Model.mp4
12.9 MB
02 - Predict Movie Box Office Revenue with Linear Regression/004 The Intuition behind the Linear Regression Model_en.vtt
9.4 KB
02 - Predict Movie Box Office Revenue with Linear Regression/005 Analyse and Evaluate the Results.mp4
75.5 MB
02 - Predict Movie Box Office Revenue with Linear Regression/005 Analyse and Evaluate the Results_en.vtt
19.6 KB
02 - Predict Movie Box Office Revenue with Linear Regression/006 Download the Complete Notebook Here.html
242 B
02 - Predict Movie Box Office Revenue with Linear Regression/007 Join the Student Community.html
715 B
02 - Predict Movie Box Office Revenue with Linear Regression/008 Any Feedback on this Section.html
512 B
02 - Predict Movie Box Office Revenue with Linear Regression/18175084-01-Linear-Regression-checkpoint.ipynb.zip
37.6 KB
02 - Predict Movie Box Office Revenue with Linear Regression/18175146-01-Linear-Regression-complete.ipynb.zip
75.3 KB
02 - Predict Movie Box Office Revenue with Linear Regression/9246634-cost-revenue-dirty.csv
374.7 KB
02 - Predict Movie Box Office Revenue with Linear Regression/9249290-cost-revenue-clean.csv
90.8 KB
02 - Predict Movie Box Office Revenue with Linear Regression/external-assets-links.txt
212 B
03 - Python Programming for Data Science and Machine Learning/001 Windows Users - Install Anaconda.mp4
32.2 MB
03 - Python Programming for Data Science and Machine Learning/001 Windows Users - Install Anaconda_en.vtt
7.7 KB
03 - Python Programming for Data Science and Machine Learning/002 Mac Users - Install Anaconda.mp4
39.1 MB
03 - Python Programming for Data Science and Machine Learning/002 Mac Users - Install Anaconda_en.vtt
7.1 KB
03 - Python Programming for Data Science and Machine Learning/003 Does LSD Make You Better at Maths.mp4
15.6 MB
03 - Python Programming for Data Science and Machine Learning/003 Does LSD Make You Better at Maths_en.vtt
6.4 KB
03 - Python Programming for Data Science and Machine Learning/004 Download the 12 Rules to Learn to Code.html
1.1 KB
03 - Python Programming for Data Science and Machine Learning/005 [Python] - Variables and Types.mp4
47.6 MB
03 - Python Programming for Data Science and Machine Learning/005 [Python] - Variables and Types_en.vtt
14.5 KB
03 - Python Programming for Data Science and Machine Learning/006 [Python] - Lists and Arrays.mp4
35.1 MB
03 - Python Programming for Data Science and Machine Learning/006 [Python] - Lists and Arrays_en.vtt
10.6 KB
03 - Python Programming for Data Science and Machine Learning/007 [Python & Pandas] - Dataframes and Series.mp4
101.4 MB
03 - Python Programming for Data Science and Machine Learning/007 [Python & Pandas] - Dataframes and Series_en.vtt
24.4 KB
03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports.mp4
186.9 MB
03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports_en.vtt
31.5 KB
03 - Python Programming for Data Science and Machine Learning/009 [Python] - Functions - Part 1 Defining and Calling Functions.mp4
27.4 MB
03 - Python Programming for Data Science and Machine Learning/009 [Python] - Functions - Part 1 Defining and Calling Functions_en.vtt
9.1 KB
03 - Python Programming for Data Science and Machine Learning/010 [Python] - Functions - Part 2 Arguments & Parameters.mp4
99.4 MB
03 - Python Programming for Data Science and Machine Learning/010 [Python] - Functions - Part 2 Arguments & Parameters_en.vtt
18.2 KB
03 - Python Programming for Data Science and Machine Learning/011 [Python] - Functions - Part 3 Results & Return Values.mp4
54.1 MB
03 - Python Programming for Data Science and Machine Learning/011 [Python] - Functions - Part 3 Results & Return Values_en.vtt
14.5 KB
03 - Python Programming for Data Science and Machine Learning/012 [Python] - Objects - Understanding Attributes and Methods.mp4
125.4 MB
03 - Python Programming for Data Science and Machine Learning/012 [Python] - Objects - Understanding Attributes and Methods_en.vtt
25.9 KB
03 - Python Programming for Data Science and Machine Learning/013 How to Make Sense of Python Documentation for Data Visualisation.mp4
138.1 MB
03 - Python Programming for Data Science and Machine Learning/013 How to Make Sense of Python Documentation for Data Visualisation_en.vtt
23.1 KB
03 - Python Programming for Data Science and Machine Learning/014 Working with Python Objects to Analyse Data.mp4
135.5 MB
03 - Python Programming for Data Science and Machine Learning/014 Working with Python Objects to Analyse Data_en.vtt
23.6 KB
03 - Python Programming for Data Science and Machine Learning/015 [Python] - Tips, Code Style and Naming Conventions.mp4
67.2 MB
03 - Python Programming for Data Science and Machine Learning/015 [Python] - Tips, Code Style and Naming Conventions_en.vtt
14.7 KB
03 - Python Programming for Data Science and Machine Learning/016 Download the Complete Notebook Here.html
242 B
03 - Python Programming for Data Science and Machine Learning/017 Any Feedback on this Section.html
513 B
03 - Python Programming for Data Science and Machine Learning/18179882-02-Python-Intro.ipynb.zip
36.4 KB
03 - Python Programming for Data Science and Machine Learning/18204473-12-Rules-to-Learn-to-Code.pdf
2.2 MB
03 - Python Programming for Data Science and Machine Learning/18877814-lsd-math-score-data.csv
155 B
03 - Python Programming for Data Science and Machine Learning/external-assets-links.txt
83 B
04 - Introduction to Optimisation and the Gradient Descent Algorithm/001 What's Coming Up.mp4
12.9 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/001 What's Coming Up_en.vtt
3.4 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/002 How a Machine Learns.mp4
10.5 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/002 How a Machine Learns_en.vtt
6.3 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/003 Introduction to Cost Functions.mp4
39 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/003 Introduction to Cost Functions_en.vtt
8.2 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/004 LaTeX Markdown and Generating Data with Numpy.mp4
47 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/004 LaTeX Markdown and Generating Data with Numpy_en.vtt
14.8 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/005 Understanding the Power Rule & Creating Charts with Subplots.mp4
59.5 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/005 Understanding the Power Rule & Creating Charts with Subplots_en.vtt
15.6 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/006 [Python] - Loops and the Gradient Descent Algorithm.mp4
92.9 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/006 [Python] - Loops and the Gradient Descent Algorithm_en.vtt
37.6 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4
229.5 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1)_en.vtt
37.2 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4
145.2 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2)_en.vtt
29 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate.mp4
190.1 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate_en.vtt
32.6 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts.mp4
152 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts_en.vtt
22.6 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/011 Understanding Partial Derivatives and How to use SymPy.mp4
102.7 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/011 Understanding Partial Derivatives and How to use SymPy_en.vtt
17.6 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/012 Implementing Batch Gradient Descent with SymPy.mp4
65.5 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/012 Implementing Batch Gradient Descent with SymPy_en.vtt
11.3 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/013 [Python] - Loops and Performance Considerations.mp4
106.6 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/013 [Python] - Loops and Performance Considerations_en.vtt
15.7 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/014 Reshaping and Slicing N-Dimensional Arrays.mp4
95.1 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/014 Reshaping and Slicing N-Dimensional Arrays_en.vtt
20 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/015 Concatenating Numpy Arrays.mp4
32.5 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/015 Concatenating Numpy Arrays_en.vtt
7.8 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/016 Introduction to the Mean Squared Error (MSE).mp4
43.2 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/016 Introduction to the Mean Squared Error (MSE)_en.vtt
11 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/017 Transposing and Reshaping Arrays.mp4
58 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/017 Transposing and Reshaping Arrays_en.vtt
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