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[FreeCourseSite com] Udemy - Complete 2022 Data Science & Machine Learning Bootcamp

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Title: UdemyGroup: NOGRPYear: 2022Source: Udemy
Info Hash
6C07DE4DB88F94A690998017789362B5165A8802
Source
Unverified
Total Size
12.53 GB
Total Files
100
Seeders
1
Leechers
0
Health
1.00
Score
2
Type
Bookware

File List

FileSize
0. Websites you may like/[CourseClub.Me].url122 B
0. Websites you may like/[FreeCourseSite.com].url127 B
0. Websites you may like/[GigaCourse.Com].url49 B
01 - Introduction to the Course/001 What is Machine Learning.mp440.37 MB
01 - Introduction to the Course/001 What is Machine Learning_en.vtt6.02 KB
01 - Introduction to the Course/002 What is Data Science.mp439.83 MB
01 - Introduction to the Course/002 What is Data Science_en.vtt5.04 KB
01 - Introduction to the Course/003 Download the Syllabus.html994 B
01 - Introduction to the Course/004 Top Tips for Succeeding on this Course.html2.06 KB
01 - Introduction to the Course/005 Course Resources List.html1.12 KB
01 - Introduction to the Course/18162714-ML-Data-Science-Syllabus.pdf103.97 KB
01 - Introduction to the Course/external-assets-links.txt120 B
02 - Predict Movie Box Office Revenue with Linear Regression/001 Introduction to Linear Regression & Specifying the Problem.mp426.51 MB
02 - Predict Movie Box Office Revenue with Linear Regression/001 Introduction to Linear Regression & Specifying the Problem_en.vtt7.58 KB
02 - Predict Movie Box Office Revenue with Linear Regression/002 Gather & Clean the Data.mp440.86 MB
02 - Predict Movie Box Office Revenue with Linear Regression/002 Gather & Clean the Data_en.vtt12.2 KB
02 - Predict Movie Box Office Revenue with Linear Regression/003 Explore & Visualise the Data with Python.mp4105.12 MB
02 - Predict Movie Box Office Revenue with Linear Regression/003 Explore & Visualise the Data with Python_en.vtt26.99 KB
02 - Predict Movie Box Office Revenue with Linear Regression/004 The Intuition behind the Linear Regression Model.mp412.86 MB
02 - Predict Movie Box Office Revenue with Linear Regression/004 The Intuition behind the Linear Regression Model_en.vtt9.45 KB
02 - Predict Movie Box Office Revenue with Linear Regression/005 Analyse and Evaluate the Results.mp475.46 MB
02 - Predict Movie Box Office Revenue with Linear Regression/005 Analyse and Evaluate the Results_en.vtt19.58 KB
02 - Predict Movie Box Office Revenue with Linear Regression/006 Download the Complete Notebook Here.html242 B
02 - Predict Movie Box Office Revenue with Linear Regression/007 Join the Student Community.html715 B
02 - Predict Movie Box Office Revenue with Linear Regression/008 Any Feedback on this Section.html512 B
02 - Predict Movie Box Office Revenue with Linear Regression/18175084-01-Linear-Regression-checkpoint.ipynb.zip37.64 KB
02 - Predict Movie Box Office Revenue with Linear Regression/18175146-01-Linear-Regression-complete.ipynb.zip75.28 KB
02 - Predict Movie Box Office Revenue with Linear Regression/9246634-cost-revenue-dirty.csv374.68 KB
02 - Predict Movie Box Office Revenue with Linear Regression/9249290-cost-revenue-clean.csv90.82 KB
02 - Predict Movie Box Office Revenue with Linear Regression/external-assets-links.txt212 B
03 - Python Programming for Data Science and Machine Learning/001 Windows Users - Install Anaconda.mp432.19 MB
03 - Python Programming for Data Science and Machine Learning/001 Windows Users - Install Anaconda_en.vtt7.72 KB
03 - Python Programming for Data Science and Machine Learning/002 Mac Users - Install Anaconda.mp439.12 MB
03 - Python Programming for Data Science and Machine Learning/002 Mac Users - Install Anaconda_en.vtt7.07 KB
03 - Python Programming for Data Science and Machine Learning/003 Does LSD Make You Better at Maths.mp415.63 MB
03 - Python Programming for Data Science and Machine Learning/003 Does LSD Make You Better at Maths_en.vtt6.42 KB
03 - Python Programming for Data Science and Machine Learning/004 Download the 12 Rules to Learn to Code.html1.12 KB
03 - Python Programming for Data Science and Machine Learning/005 [Python] - Variables and Types.mp447.55 MB
03 - Python Programming for Data Science and Machine Learning/005 [Python] - Variables and Types_en.vtt14.49 KB
03 - Python Programming for Data Science and Machine Learning/006 [Python] - Lists and Arrays.mp435.09 MB
03 - Python Programming for Data Science and Machine Learning/006 [Python] - Lists and Arrays_en.vtt10.55 KB
03 - Python Programming for Data Science and Machine Learning/007 [Python & Pandas] - Dataframes and Series.mp4101.4 MB
03 - Python Programming for Data Science and Machine Learning/007 [Python & Pandas] - Dataframes and Series_en.vtt24.43 KB
03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports.mp4186.86 MB
03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports_en.vtt31.45 KB
03 - Python Programming for Data Science and Machine Learning/009 [Python] - Functions - Part 1 Defining and Calling Functions.mp427.38 MB
03 - Python Programming for Data Science and Machine Learning/009 [Python] - Functions - Part 1 Defining and Calling Functions_en.vtt9.15 KB
03 - Python Programming for Data Science and Machine Learning/010 [Python] - Functions - Part 2 Arguments & Parameters.mp499.44 MB
03 - Python Programming for Data Science and Machine Learning/010 [Python] - Functions - Part 2 Arguments & Parameters_en.vtt18.18 KB
03 - Python Programming for Data Science and Machine Learning/011 [Python] - Functions - Part 3 Results & Return Values.mp454.13 MB
03 - Python Programming for Data Science and Machine Learning/011 [Python] - Functions - Part 3 Results & Return Values_en.vtt14.46 KB
03 - Python Programming for Data Science and Machine Learning/012 [Python] - Objects - Understanding Attributes and Methods.mp4125.35 MB
03 - Python Programming for Data Science and Machine Learning/012 [Python] - Objects - Understanding Attributes and Methods_en.vtt25.93 KB
03 - Python Programming for Data Science and Machine Learning/013 How to Make Sense of Python Documentation for Data Visualisation.mp4138.12 MB
03 - Python Programming for Data Science and Machine Learning/013 How to Make Sense of Python Documentation for Data Visualisation_en.vtt23.06 KB
03 - Python Programming for Data Science and Machine Learning/014 Working with Python Objects to Analyse Data.mp4135.45 MB
03 - Python Programming for Data Science and Machine Learning/014 Working with Python Objects to Analyse Data_en.vtt23.55 KB
03 - Python Programming for Data Science and Machine Learning/015 [Python] - Tips, Code Style and Naming Conventions.mp467.18 MB
03 - Python Programming for Data Science and Machine Learning/015 [Python] - Tips, Code Style and Naming Conventions_en.vtt14.66 KB
03 - Python Programming for Data Science and Machine Learning/016 Download the Complete Notebook Here.html242 B
03 - Python Programming for Data Science and Machine Learning/017 Any Feedback on this Section.html513 B
03 - Python Programming for Data Science and Machine Learning/18179882-02-Python-Intro.ipynb.zip36.44 KB
03 - Python Programming for Data Science and Machine Learning/18204473-12-Rules-to-Learn-to-Code.pdf2.25 MB
03 - Python Programming for Data Science and Machine Learning/18877814-lsd-math-score-data.csv155 B
03 - Python Programming for Data Science and Machine Learning/external-assets-links.txt83 B
04 - Introduction to Optimisation and the Gradient Descent Algorithm/001 What's Coming Up.mp412.92 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/001 What's Coming Up_en.vtt3.36 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/002 How a Machine Learns.mp410.47 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/002 How a Machine Learns_en.vtt6.32 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/003 Introduction to Cost Functions.mp439.02 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/003 Introduction to Cost Functions_en.vtt8.19 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/004 LaTeX Markdown and Generating Data with Numpy.mp447.01 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/004 LaTeX Markdown and Generating Data with Numpy_en.vtt14.82 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/005 Understanding the Power Rule & Creating Charts with Subplots.mp459.49 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/005 Understanding the Power Rule & Creating Charts with Subplots_en.vtt15.59 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/006 [Python] - Loops and the Gradient Descent Algorithm.mp492.92 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/006 [Python] - Loops and the Gradient Descent Algorithm_en.vtt37.63 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4229.5 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1)_en.vtt37.23 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4145.22 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2)_en.vtt29.03 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate.mp4190.14 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate_en.vtt32.56 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts.mp4152.02 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts_en.vtt22.61 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/011 Understanding Partial Derivatives and How to use SymPy.mp4102.67 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/011 Understanding Partial Derivatives and How to use SymPy_en.vtt17.62 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/012 Implementing Batch Gradient Descent with SymPy.mp465.49 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/012 Implementing Batch Gradient Descent with SymPy_en.vtt11.26 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/013 [Python] - Loops and Performance Considerations.mp4106.59 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/013 [Python] - Loops and Performance Considerations_en.vtt15.67 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/014 Reshaping and Slicing N-Dimensional Arrays.mp495.11 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/014 Reshaping and Slicing N-Dimensional Arrays_en.vtt19.97 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/015 Concatenating Numpy Arrays.mp432.48 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/015 Concatenating Numpy Arrays_en.vtt7.8 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/016 Introduction to the Mean Squared Error (MSE).mp443.24 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/016 Introduction to the Mean Squared Error (MSE)_en.vtt11.02 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/017 Transposing and Reshaping Arrays.mp458.02 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/017 Transposing and Reshaping Arrays_en.vtt11.69 KB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/018 Implementing a MSE Cost Function.mp454.55 MB

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