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Machine Learning Fundamentals A Python-Based Course

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File Name
Size
Module 4 Supervised Learning Fundamentals/013. Lesson 4.13 Supervised Learning in Python.mp4
194 MB
Introduction/001. Course Overview.mp4
69 MB
Module 1 Getting Started with Machine Learning/001. Lesson 1.1 Biggest Milestones in AI History.en.srt
12 kB
Module 1 Getting Started with Machine Learning/001. Lesson 1.1 Biggest Milestones in AI History.mp4
77 MB
Module 1 Getting Started with Machine Learning/002. Lesson 1.2 Artificial Intelligence Principles.en.srt
24 kB
Module 1 Getting Started with Machine Learning/002. Lesson 1.2 Artificial Intelligence Principles.mp4
90 MB
Module 2 Mathematical Concepts of Machine Learning/001. Lesson 2.1 Introduction to the Mathematical Principles of Machine Learning.en.srt
39 kB
Module 2 Mathematical Concepts of Machine Learning/001. Lesson 2.1 Introduction to the Mathematical Principles of Machine Learning.mp4
154 MB
Module 2 Mathematical Concepts of Machine Learning/002. Lesson 2.2 Vectors.en.srt
35 kB
Module 2 Mathematical Concepts of Machine Learning/002. Lesson 2.2 Vectors.mp4
126 MB
Module 2 Mathematical Concepts of Machine Learning/003. Lesson 2.3 Matrices Basics.en.srt
38 kB
Module 2 Mathematical Concepts of Machine Learning/003. Lesson 2.3 Matrices Basics.mp4
170 MB
Module 2 Mathematical Concepts of Machine Learning/004. Lesson 2.4 Matrices Decomposition.en.srt
21 kB
Module 2 Mathematical Concepts of Machine Learning/004. Lesson 2.4 Matrices Decomposition.mp4
104 MB
Module 3 Statistical Concepts of Machine Learning/001. Lesson 3.1 Introduction to the Statistical Principles of Machine Learning.en.srt
27 kB
Module 3 Statistical Concepts of Machine Learning/001. Lesson 3.1 Introduction to the Statistical Principles of Machine Learning.mp4
128 MB
Module 3 Statistical Concepts of Machine Learning/002. Lesson 3.2 Probability Distributions.en.srt
25 kB
Module 3 Statistical Concepts of Machine Learning/002. Lesson 3.2 Probability Distributions.mp4
117 MB
Module 3 Statistical Concepts of Machine Learning/003. Lesson 3.3 Descriptive Statistics Basics for Machine Learning - Measures of Central Tendency.en.srt
25 kB
Module 3 Statistical Concepts of Machine Learning/003. Lesson 3.3 Descriptive Statistics Basics for Machine Learning - Measures of Central Tendency.mp4
109 MB
Module 3 Statistical Concepts of Machine Learning/004. Lesson 3.4 Descriptive Statistics Basics for Machine Learning - Measures of Dispersion.en.srt
22 kB
Module 3 Statistical Concepts of Machine Learning/004. Lesson 3.4 Descriptive Statistics Basics for Machine Learning - Measures of Dispersion.mp4
117 MB
Module 3 Statistical Concepts of Machine Learning/005. Lesson 3.5 Statistical Inference and Modeling Basics.en.srt
35 kB
Module 3 Statistical Concepts of Machine Learning/005. Lesson 3.5 Statistical Inference and Modeling Basics.mp4
129 MB
Module 4 Supervised Learning Fundamentals/001. Lesson 4.1 Supervision in Machine Learning.en.srt
39 kB
Module 4 Supervised Learning Fundamentals/001. Lesson 4.1 Supervision in Machine Learning.mp4
166 MB
Module 4 Supervised Learning Fundamentals/002. Lesson 4.2 Introduction to Feature Engineering.en.srt
48 kB
Module 4 Supervised Learning Fundamentals/002. Lesson 4.2 Introduction to Feature Engineering.mp4
162 MB
Module 4 Supervised Learning Fundamentals/003. Lesson 4.3 Intro to Regression and Regression Metrics.en.srt
21 kB
Module 4 Supervised Learning Fundamentals/003. Lesson 4.3 Intro to Regression and Regression Metrics.mp4
99 MB
Module 4 Supervised Learning Fundamentals/004. Lesson 4.4 Linear Regression Basics - Closed-form solution.en.srt
25 kB
Module 4 Supervised Learning Fundamentals/004. Lesson 4.4 Linear Regression Basics - Closed-form solution.mp4
130 MB
Module 4 Supervised Learning Fundamentals/005. Lesson 4.5 Linear Regression Basics - Multivariate Regression.en.srt
18 kB
Module 4 Supervised Learning Fundamentals/005. Lesson 4.5 Linear Regression Basics - Multivariate Regression.mp4
70 MB
Module 4 Supervised Learning Fundamentals/006. Lesson 4.6 Linear Regression in Python - Simple and Multivariate Regression.en.srt
40 kB
Module 4 Supervised Learning Fundamentals/006. Lesson 4.6 Linear Regression in Python - Simple and Multivariate Regression.mp4
125 MB
Module 4 Supervised Learning Fundamentals/007. Lesson 4.7 Linear Regression in Python - Testing the Assumptions.en.srt
32 kB
Module 4 Supervised Learning Fundamentals/007. Lesson 4.7 Linear Regression in Python - Testing the Assumptions.mp4
142 MB
Module 4 Supervised Learning Fundamentals/008. Lesson 4.8 Intro to Classification.en.srt
15 kB
Module 4 Supervised Learning Fundamentals/008. Lesson 4.8 Intro to Classification.mp4
57 MB
Module 4 Supervised Learning Fundamentals/009. Lesson 4.9 Classification Metrics.en.srt
34 kB
Module 4 Supervised Learning Fundamentals/009. Lesson 4.9 Classification Metrics.mp4
147 MB
Module 4 Supervised Learning Fundamentals/010. Lesson 4.10 Class Imbalance Problems.en.srt
35 kB
Module 4 Supervised Learning Fundamentals/010. Lesson 4.10 Class Imbalance Problems.mp4
154 MB
Module 4 Supervised Learning Fundamentals/011. Lesson 4.11 Logistic Regression Basics.en.srt
25 kB
Module 4 Supervised Learning Fundamentals/011. Lesson 4.11 Logistic Regression Basics.mp4
112 MB
Module 4 Supervised Learning Fundamentals/012. Lesson 4.12 Decision Trees Basics.en.srt
37 kB
Module 4 Supervised Learning Fundamentals/012. Lesson 4.12 Decision Trees Basics.mp4
157 MB
Module 4 Supervised Learning Fundamentals/013. Lesson 4.13 Supervised Learning in Python.en.srt
47 kB
Introduction/001. Course Overview.en.srt
10 kB
Module 4 Supervised Learning Fundamentals/014. Lesson 4.14 Introduction to Hyperparameter Optimization.en.srt
40 kB
Module 4 Supervised Learning Fundamentals/014. Lesson 4.14 Introduction to Hyperparameter Optimization.mp4
164 MB
Module 5 Unsupervised Learning Fundamentals/001. Lesson 5.1 Unsupervised Machine Learning.en.srt
28 kB
Module 5 Unsupervised Learning Fundamentals/001. Lesson 5.1 Unsupervised Machine Learning.mp4
107 MB
Module 5 Unsupervised Learning Fundamentals/002. Lesson 5.2 Clustering Basics.en.srt
15 kB
Module 5 Unsupervised Learning Fundamentals/002. Lesson 5.2 Clustering Basics.mp4
62 MB
Module 5 Unsupervised Learning Fundamentals/003. Lesson 5.3 k-Means Clustering.en.srt
32 kB
Module 5 Unsupervised Learning Fundamentals/003. Lesson 5.3 k-Means Clustering.mp4
141 MB
Module 5 Unsupervised Learning Fundamentals/004. Lesson 5.4 Principal Component Analysis (PCA) Basics.en.srt
31 kB
Module 5 Unsupervised Learning Fundamentals/004. Lesson 5.4 Principal Component Analysis (PCA) Basics.mp4
120 MB
Module 5 Unsupervised Learning Fundamentals/005. Lesson 5.5 Unsupervised Learning in Python.en.srt
33 kB
Module 5 Unsupervised Learning Fundamentals/005. Lesson 5.5 Unsupervised Learning in Python.mp4
163 MB
Module 6 Machine Learning Applications/001. Lesson 6.1 Introduction to Natural Language Processing (NLP).en.srt
27 kB
Module 6 Machine Learning Applications/001. Lesson 6.1 Introduction to Natural Language Processing (NLP).mp4
134 MB
Module 6 Machine Learning Applications/002. Lesson 6.2 Text Representation Methods - Part 1 Bag-of-Words & N-Grams.en.srt
26 kB
Module 6 Machine Learning Applications/002. Lesson 6.2 Text Representation Methods - Part 1 Bag-of-Words & N-Grams.mp4
104 MB
Module 6 Machine Learning Applications/003. Lesson 6.3 Text Representation Methods - Part 2 TF-IDF Method.en.srt
26 kB
Module 6 Machine Learning Applications/003. Lesson 6.3 Text Representation Methods - Part 2 TF-IDF Method.mp4
124 MB
Module 6 Machine Learning Applications/004. Lesson 6.4 Text Representation Methods - Part 3 Word Embeddings.en.srt
18 kB
Module 6 Machine Learning Applications/004. Lesson 6.4 Text Representation Methods - Part 3 Word Embeddings.mp4
77 MB