Machine Learning Fundamentals A Python-Based Course

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Machine Learning Fundamentals A Python-Based Course

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收录时间：2024-12-23
最近下载：2025-10-08

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文件列表

  • Module 4 Supervised Learning Fundamentals/013. Lesson 4.13 Supervised Learning in Python.mp4 203.5 MB
  • Module 2 Mathematical Concepts of Machine Learning/003. Lesson 2.3 Matrices Basics.mp4 178.5 MB
  • Module 4 Supervised Learning Fundamentals/001. Lesson 4.1 Supervision in Machine Learning.mp4 173.8 MB
  • Module 4 Supervised Learning Fundamentals/014. Lesson 4.14 Introduction to Hyperparameter Optimization.mp4 171.6 MB
  • Module 5 Unsupervised Learning Fundamentals/005. Lesson 5.5 Unsupervised Learning in Python.mp4 171.2 MB
  • Module 4 Supervised Learning Fundamentals/002. Lesson 4.2 Introduction to Feature Engineering.mp4 169.6 MB
  • Module 4 Supervised Learning Fundamentals/012. Lesson 4.12 Decision Trees Basics.mp4 164.3 MB
  • Module 2 Mathematical Concepts of Machine Learning/001. Lesson 2.1 Introduction to the Mathematical Principles of Machine Learning.mp4 161.6 MB
  • Module 4 Supervised Learning Fundamentals/010. Lesson 4.10 Class Imbalance Problems.mp4 161.2 MB
  • Module 4 Supervised Learning Fundamentals/009. Lesson 4.9 Classification Metrics.mp4 153.7 MB
  • Module 4 Supervised Learning Fundamentals/007. Lesson 4.7 Linear Regression in Python - Testing the Assumptions.mp4 148.6 MB
  • Module 5 Unsupervised Learning Fundamentals/003. Lesson 5.3 k-Means Clustering.mp4 148.3 MB
  • Module 6 Machine Learning Applications/001. Lesson 6.1 Introduction to Natural Language Processing (NLP).mp4 140.0 MB
  • Module 4 Supervised Learning Fundamentals/004. Lesson 4.4 Linear Regression Basics - Closed-form solution.mp4 136.0 MB
  • Module 3 Statistical Concepts of Machine Learning/005. Lesson 3.5 Statistical Inference and Modeling Basics.mp4 135.6 MB
  • Module 3 Statistical Concepts of Machine Learning/001. Lesson 3.1 Introduction to the Statistical Principles of Machine Learning.mp4 133.7 MB
  • Module 2 Mathematical Concepts of Machine Learning/002. Lesson 2.2 Vectors.mp4 132.6 MB
  • Module 4 Supervised Learning Fundamentals/006. Lesson 4.6 Linear Regression in Python - Simple and Multivariate Regression.mp4 131.5 MB
  • Module 6 Machine Learning Applications/003. Lesson 6.3 Text Representation Methods - Part 2 TF-IDF Method.mp4 129.6 MB
  • Module 5 Unsupervised Learning Fundamentals/004. Lesson 5.4 Principal Component Analysis (PCA) Basics.mp4 125.7 MB
  • Module 3 Statistical Concepts of Machine Learning/004. Lesson 3.4 Descriptive Statistics Basics for Machine Learning - Measures of Dispersion.mp4 122.9 MB
  • Module 3 Statistical Concepts of Machine Learning/002. Lesson 3.2 Probability Distributions.mp4 122.5 MB
  • Module 4 Supervised Learning Fundamentals/011. Lesson 4.11 Logistic Regression Basics.mp4 117.0 MB
  • Module 3 Statistical Concepts of Machine Learning/003. Lesson 3.3 Descriptive Statistics Basics for Machine Learning - Measures of Central Tendency.mp4 114.1 MB
  • Module 5 Unsupervised Learning Fundamentals/001. Lesson 5.1 Unsupervised Machine Learning.mp4 112.0 MB
  • Module 6 Machine Learning Applications/002. Lesson 6.2 Text Representation Methods - Part 1 Bag-of-Words & N-Grams.mp4 109.6 MB
  • Module 2 Mathematical Concepts of Machine Learning/004. Lesson 2.4 Matrices Decomposition.mp4 109.3 MB
  • Module 4 Supervised Learning Fundamentals/003. Lesson 4.3 Intro to Regression and Regression Metrics.mp4 104.2 MB
  • Module 1 Getting Started with Machine Learning/002. Lesson 1.2 Artificial Intelligence Principles.mp4 94.7 MB
  • Module 1 Getting Started with Machine Learning/001. Lesson 1.1 Biggest Milestones in AI History.mp4 80.9 MB
  • Module 6 Machine Learning Applications/004. Lesson 6.4 Text Representation Methods - Part 3 Word Embeddings.mp4 80.6 MB
  • Module 4 Supervised Learning Fundamentals/005. Lesson 4.5 Linear Regression Basics - Multivariate Regression.mp4 73.1 MB
  • Introduction/001. Course Overview.mp4 72.7 MB
  • Module 5 Unsupervised Learning Fundamentals/002. Lesson 5.2 Clustering Basics.mp4 65.0 MB
  • Module 4 Supervised Learning Fundamentals/008. Lesson 4.8 Intro to Classification.mp4 59.5 MB
  • Module 4 Supervised Learning Fundamentals/002. Lesson 4.2 Introduction to Feature Engineering.en.srt 49.3 kB
  • Module 4 Supervised Learning Fundamentals/013. Lesson 4.13 Supervised Learning in Python.en.srt 48.1 kB
  • Module 4 Supervised Learning Fundamentals/006. Lesson 4.6 Linear Regression in Python - Simple and Multivariate Regression.en.srt 41.4 kB
  • Module 4 Supervised Learning Fundamentals/014. Lesson 4.14 Introduction to Hyperparameter Optimization.en.srt 41.2 kB
  • Module 2 Mathematical Concepts of Machine Learning/001. Lesson 2.1 Introduction to the Mathematical Principles of Machine Learning.en.srt 40.0 kB
  • Module 4 Supervised Learning Fundamentals/001. Lesson 4.1 Supervision in Machine Learning.en.srt 39.7 kB
  • Module 2 Mathematical Concepts of Machine Learning/003. Lesson 2.3 Matrices Basics.en.srt 39.0 kB
  • Module 4 Supervised Learning Fundamentals/012. Lesson 4.12 Decision Trees Basics.en.srt 37.6 kB
  • Module 4 Supervised Learning Fundamentals/010. Lesson 4.10 Class Imbalance Problems.en.srt 36.3 kB
  • Module 2 Mathematical Concepts of Machine Learning/002. Lesson 2.2 Vectors.en.srt 36.0 kB
  • Module 3 Statistical Concepts of Machine Learning/005. Lesson 3.5 Statistical Inference and Modeling Basics.en.srt 36.0 kB
  • Module 4 Supervised Learning Fundamentals/009. Lesson 4.9 Classification Metrics.en.srt 34.3 kB
  • Module 5 Unsupervised Learning Fundamentals/005. Lesson 5.5 Unsupervised Learning in Python.en.srt 33.5 kB
  • Module 5 Unsupervised Learning Fundamentals/003. Lesson 5.3 k-Means Clustering.en.srt 33.2 kB
  • Module 4 Supervised Learning Fundamentals/007. Lesson 4.7 Linear Regression in Python - Testing the Assumptions.en.srt 32.4 kB
  • Module 5 Unsupervised Learning Fundamentals/004. Lesson 5.4 Principal Component Analysis (PCA) Basics.en.srt 31.7 kB
  • Module 5 Unsupervised Learning Fundamentals/001. Lesson 5.1 Unsupervised Machine Learning.en.srt 29.1 kB
  • Module 3 Statistical Concepts of Machine Learning/001. Lesson 3.1 Introduction to the Statistical Principles of Machine Learning.en.srt 27.9 kB
  • Module 6 Machine Learning Applications/001. Lesson 6.1 Introduction to Natural Language Processing (NLP).en.srt 27.4 kB
  • Module 6 Machine Learning Applications/003. Lesson 6.3 Text Representation Methods - Part 2 TF-IDF Method.en.srt 26.6 kB
  • Module 6 Machine Learning Applications/002. Lesson 6.2 Text Representation Methods - Part 1 Bag-of-Words & N-Grams.en.srt 26.5 kB
  • Module 4 Supervised Learning Fundamentals/004. Lesson 4.4 Linear Regression Basics - Closed-form solution.en.srt 25.9 kB
  • Module 4 Supervised Learning Fundamentals/011. Lesson 4.11 Logistic Regression Basics.en.srt 25.6 kB
  • Module 3 Statistical Concepts of Machine Learning/003. Lesson 3.3 Descriptive Statistics Basics for Machine Learning - Measures of Central Tendency.en.srt 25.4 kB
  • Module 3 Statistical Concepts of Machine Learning/002. Lesson 3.2 Probability Distributions.en.srt 25.3 kB
  • Module 1 Getting Started with Machine Learning/002. Lesson 1.2 Artificial Intelligence Principles.en.srt 25.1 kB
  • Module 3 Statistical Concepts of Machine Learning/004. Lesson 3.4 Descriptive Statistics Basics for Machine Learning - Measures of Dispersion.en.srt 23.1 kB
  • Module 4 Supervised Learning Fundamentals/003. Lesson 4.3 Intro to Regression and Regression Metrics.en.srt 21.7 kB
  • Module 2 Mathematical Concepts of Machine Learning/004. Lesson 2.4 Matrices Decomposition.en.srt 21.6 kB
  • Module 6 Machine Learning Applications/004. Lesson 6.4 Text Representation Methods - Part 3 Word Embeddings.en.srt 18.6 kB
  • Module 4 Supervised Learning Fundamentals/005. Lesson 4.5 Linear Regression Basics - Multivariate Regression.en.srt 18.3 kB
  • Module 5 Unsupervised Learning Fundamentals/002. Lesson 5.2 Clustering Basics.en.srt 15.7 kB
  • Module 4 Supervised Learning Fundamentals/008. Lesson 4.8 Intro to Classification.en.srt 15.2 kB
  • Module 1 Getting Started with Machine Learning/001. Lesson 1.1 Biggest Milestones in AI History.en.srt 12.5 kB
  • Introduction/001. Course Overview.en.srt 10.3 kB

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