GetFreeCourses.Co-Udemy-Complete 2022 Data Science & Machine Learning Bootcamp

• GetFreeCourses.Co-Udemy-Complete 2022 Data Science & Machine Learning Bootcamp
• 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 11.7 KB
• 04 - Introduction to Optimisation and the Gradient Descent Algorithm/018 Implementing a MSE Cost Function.mp4 54.5 MB
• 04 - Introduction to Optimisation and the Gradient Descent Algorithm/018 Implementing a MSE Cost Function_en.vtt 11.7 KB

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