Machine Learning Fundamentals A Python-Based Course

Module 4 Supervised Learning Fundamentals/013. Lesson 4.13 Supervised Learning in Python.mp4

194.05 MB

Introduction/001. Course Overview.mp4

69.36 MB

Module 1 Getting Started with Machine Learning/001. Lesson 1.1 Biggest Milestones in AI History.en.srt

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Module 1 Getting Started with Machine Learning/001. Lesson 1.1 Biggest Milestones in AI History.mp4

77.14 MB

Module 1 Getting Started with Machine Learning/002. Lesson 1.2 Artificial Intelligence Principles.en.srt

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Module 1 Getting Started with Machine Learning/002. Lesson 1.2 Artificial Intelligence Principles.mp4

90.33 MB

Module 2 Mathematical Concepts of Machine Learning/001. Lesson 2.1 Introduction to the Mathematical Principles of Machine Learning.en.srt

39.06 KB

Module 2 Mathematical Concepts of Machine Learning/001. Lesson 2.1 Introduction to the Mathematical Principles of Machine Learning.mp4

154.08 MB

Module 2 Mathematical Concepts of Machine Learning/002. Lesson 2.2 Vectors.en.srt

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Module 2 Mathematical Concepts of Machine Learning/002. Lesson 2.2 Vectors.mp4

126.46 MB

Module 2 Mathematical Concepts of Machine Learning/003. Lesson 2.3 Matrices Basics.en.srt

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Module 2 Mathematical Concepts of Machine Learning/003. Lesson 2.3 Matrices Basics.mp4

170.21 MB

Module 2 Mathematical Concepts of Machine Learning/004. Lesson 2.4 Matrices Decomposition.en.srt

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Module 2 Mathematical Concepts of Machine Learning/004. Lesson 2.4 Matrices Decomposition.mp4

104.27 MB

Module 3 Statistical Concepts of Machine Learning/001. Lesson 3.1 Introduction to the Statistical Principles of Machine Learning.en.srt

27.25 KB

Module 3 Statistical Concepts of Machine Learning/001. Lesson 3.1 Introduction to the Statistical Principles of Machine Learning.mp4

127.49 MB

Module 3 Statistical Concepts of Machine Learning/002. Lesson 3.2 Probability Distributions.en.srt

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Module 3 Statistical Concepts of Machine Learning/002. Lesson 3.2 Probability Distributions.mp4

116.83 MB

Module 3 Statistical Concepts of Machine Learning/003. Lesson 3.3 Descriptive Statistics Basics for Machine Learning - Measures of Central Tendency.en.srt

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Module 3 Statistical Concepts of Machine Learning/003. Lesson 3.3 Descriptive Statistics Basics for Machine Learning - Measures of Central Tendency.mp4

108.8 MB

Module 3 Statistical Concepts of Machine Learning/004. Lesson 3.4 Descriptive Statistics Basics for Machine Learning - Measures of Dispersion.en.srt

22.51 KB

Module 3 Statistical Concepts of Machine Learning/004. Lesson 3.4 Descriptive Statistics Basics for Machine Learning - Measures of Dispersion.mp4

117.23 MB

Module 3 Statistical Concepts of Machine Learning/005. Lesson 3.5 Statistical Inference and Modeling Basics.en.srt

35.11 KB

Module 3 Statistical Concepts of Machine Learning/005. Lesson 3.5 Statistical Inference and Modeling Basics.mp4

129.3 MB

Module 4 Supervised Learning Fundamentals/001. Lesson 4.1 Supervision in Machine Learning.en.srt

38.78 KB

Module 4 Supervised Learning Fundamentals/001. Lesson 4.1 Supervision in Machine Learning.mp4

165.77 MB

Module 4 Supervised Learning Fundamentals/002. Lesson 4.2 Introduction to Feature Engineering.en.srt

48.18 KB

Module 4 Supervised Learning Fundamentals/002. Lesson 4.2 Introduction to Feature Engineering.mp4

161.73 MB

Module 4 Supervised Learning Fundamentals/003. Lesson 4.3 Intro to Regression and Regression Metrics.en.srt

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Module 4 Supervised Learning Fundamentals/003. Lesson 4.3 Intro to Regression and Regression Metrics.mp4

99.35 MB

Module 4 Supervised Learning Fundamentals/004. Lesson 4.4 Linear Regression Basics - Closed-form solution.en.srt

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Module 4 Supervised Learning Fundamentals/004. Lesson 4.4 Linear Regression Basics - Closed-form solution.mp4

129.73 MB

Module 4 Supervised Learning Fundamentals/005. Lesson 4.5 Linear Regression Basics - Multivariate Regression.en.srt

17.89 KB

Module 4 Supervised Learning Fundamentals/005. Lesson 4.5 Linear Regression Basics - Multivariate Regression.mp4

69.68 MB

Module 4 Supervised Learning Fundamentals/006. Lesson 4.6 Linear Regression in Python - Simple and Multivariate Regression.en.srt

40.47 KB

Module 4 Supervised Learning Fundamentals/006. Lesson 4.6 Linear Regression in Python - Simple and Multivariate Regression.mp4

125.4 MB

Module 4 Supervised Learning Fundamentals/007. Lesson 4.7 Linear Regression in Python - Testing the Assumptions.en.srt

31.63 KB

Module 4 Supervised Learning Fundamentals/007. Lesson 4.7 Linear Regression in Python - Testing the Assumptions.mp4

141.76 MB

Module 4 Supervised Learning Fundamentals/008. Lesson 4.8 Intro to Classification.en.srt

14.86 KB

Module 4 Supervised Learning Fundamentals/008. Lesson 4.8 Intro to Classification.mp4

56.71 MB

Module 4 Supervised Learning Fundamentals/009. Lesson 4.9 Classification Metrics.en.srt

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Module 4 Supervised Learning Fundamentals/009. Lesson 4.9 Classification Metrics.mp4

146.58 MB

Module 4 Supervised Learning Fundamentals/010. Lesson 4.10 Class Imbalance Problems.en.srt

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Module 4 Supervised Learning Fundamentals/010. Lesson 4.10 Class Imbalance Problems.mp4

153.74 MB

Module 4 Supervised Learning Fundamentals/011. Lesson 4.11 Logistic Regression Basics.en.srt

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Module 4 Supervised Learning Fundamentals/011. Lesson 4.11 Logistic Regression Basics.mp4

111.54 MB

Module 4 Supervised Learning Fundamentals/012. Lesson 4.12 Decision Trees Basics.en.srt

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Module 4 Supervised Learning Fundamentals/012. Lesson 4.12 Decision Trees Basics.mp4

156.68 MB

Module 4 Supervised Learning Fundamentals/013. Lesson 4.13 Supervised Learning in Python.en.srt

47.02 KB

Introduction/001. Course Overview.en.srt

10.1 KB

Module 4 Supervised Learning Fundamentals/014. Lesson 4.14 Introduction to Hyperparameter Optimization.en.srt

40.21 KB

Module 4 Supervised Learning Fundamentals/014. Lesson 4.14 Introduction to Hyperparameter Optimization.mp4

163.64 MB

Module 5 Unsupervised Learning Fundamentals/001. Lesson 5.1 Unsupervised Machine Learning.en.srt

28.4 KB

Module 5 Unsupervised Learning Fundamentals/001. Lesson 5.1 Unsupervised Machine Learning.mp4

106.81 MB

Module 5 Unsupervised Learning Fundamentals/002. Lesson 5.2 Clustering Basics.en.srt

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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

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Module 5 Unsupervised Learning Fundamentals/003. Lesson 5.3 k-Means Clustering.mp4

141.44 MB

Module 5 Unsupervised Learning Fundamentals/004. Lesson 5.4 Principal Component Analysis (PCA) Basics.en.srt

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Module 5 Unsupervised Learning Fundamentals/004. Lesson 5.4 Principal Component Analysis (PCA) Basics.mp4

119.91 MB

Module 5 Unsupervised Learning Fundamentals/005. Lesson 5.5 Unsupervised Learning in Python.en.srt

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Module 5 Unsupervised Learning Fundamentals/005. Lesson 5.5 Unsupervised Learning in Python.mp4

163.25 MB

Module 6 Machine Learning Applications/001. Lesson 6.1 Introduction to Natural Language Processing (NLP).en.srt

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Module 6 Machine Learning Applications/001. Lesson 6.1 Introduction to Natural Language Processing (NLP).mp4

133.5 MB

Module 6 Machine Learning Applications/002. Lesson 6.2 Text Representation Methods - Part 1 Bag-of-Words & N-Grams.en.srt

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Module 6 Machine Learning Applications/002. Lesson 6.2 Text Representation Methods - Part 1 Bag-of-Words & N-Grams.mp4

104.49 MB

Module 6 Machine Learning Applications/003. Lesson 6.3 Text Representation Methods - Part 2 TF-IDF Method.en.srt

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Module 6 Machine Learning Applications/003. Lesson 6.3 Text Representation Methods - Part 2 TF-IDF Method.mp4

123.61 MB

Module 6 Machine Learning Applications/004. Lesson 6.4 Text Representation Methods - Part 3 Word Embeddings.en.srt

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Module 6 Machine Learning Applications/004. Lesson 6.4 Text Representation Methods - Part 3 Word Embeddings.mp4

76.88 MB

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