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01 Course Introduction/003 What is Data Science.mp4 7.79 MB
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05.Creating Deep Learning Models with Deep Learning/0504.Building and Training A Model Without A Framework.mp4 51.42 MB
01.Introduction and Setting Infrastructure/0102.Environment Configuration — Step 1.mp4 45.88 MB
04.Implementing Essential Machine Learning Algorithms/0405.Performing Cross Validation.mp4 40.98 MB
02.Data Manipulation and Cleaning/0204.Handling the Null and the NAN.mp4 36.69 MB
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Get Bonus Downloads Here.url 180 B
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01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/002 Where does this course fit into your deep learning studies.mp4 5.99 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/003 How to Succeed in this Course.mp4 8.78 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.11 MB
02 Gradient Descent Full vs Batch vs Stochastic/005 What are full batch and stochastic gradient descent.mp4 5.83 MB
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03-r-data-types/attached_files/008-r-atomic-data-types-intro-what-you-must-know-about-numeric-and-integers-in-r/r-data-types-1.pdf 188.67 KB
04-r-data-structure-vectors/attached_files/015-vectors-creation-homogeneity-coercion-implications-and-important-functions/r-vectors.pdf 135.47 KB
05-r-data-structure-matrices/attached_files/022-matrices-getting-acquainted-creation-and-its-operational-functions/r-matrices.pdf 225.61 KB
06-r-data-structure-lists/attached_files/030-lists-getting-introduced-to-one-of-the-most-powerful-data-structures-in-r/r-lists.pdf 118.02 KB
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01 Course Introduction/002 Course Curriculum.mp4 6.72 MB
01 Course Introduction/003 What is Data Science.mp4 7.79 MB
01 Course Introduction/004 Course FAQ.html 1.58 KB
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10 - Chapter 3. Using permutations to shuffle cards.mp4 35.4 MB
100 - Chapter 20. Network-driven supervised machine learning.mp4 48.95 MB
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01 Introduction/002 Probability-and-Statistics-Part-1-Data.pdf 1.08 MB
01 Introduction/002 Probability-and-Statistics-Part-2-Probability.pdf 751.1 KB
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~Get Your Files Here !/1 - Introduction.mp4 9.7 MB
~Get Your Files Here !/10 - Assigning Values.mp4 21.11 MB
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~Get Your Files Here !/12 - Nested Dict and Transposition.mp4 23.48 MB
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~Get Your Files Here !/001 Setting up Google Colaboratory for Data Science Project.mp4 51.05 MB
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~Get Your Files Here !/002 Project design approach and getting data.mp4 50.92 MB
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Part 01-Module 01-Lesson 03_The Life of a Data Scientist/03. Industry Interview Sinthuja-R5XBQ7dSz7w.mp4 25.32 MB
Part 04-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.mp4 23.75 MB
Part 04-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4 21.62 MB
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~Get Your Files Here !/1 - Welcome and Course Overview/1 - Welcome.mp4 21.02 MB
~Get Your Files Here !/1 - Welcome and Course Overview/2 - Course Overview.mp4 32.43 MB
~Get Your Files Here !/1 - Welcome and Course Overview/2 - Course-Overview.pptx 291.87 KB
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8.3 - Module 8- Decision Trees Part 3 .mp4 908.32 MB
1.3 - Module 1- Pandas Part 3 .mp4 865.49 MB
9.3 - Module 9- Ensembling Techniques Part 3.mp4 733.49 MB
13.3 - Module 13- Neural Networks - Deep Learning Part 3.mp4 719.27 MB
10.3 - Module 10- Dimension Reduction Part 3.mp4 687.87 MB