Name Machine Learning Fundamentals A Python-Based Course

File Type video

Size 4.20GB

UpdateDate 2024-11-25

hash *****F9C1C0B0D638C9E29E472D350713E6F6B1

Hot 7

Files Module 4 Supervised Learning Fundamentals/013. Lesson 4.13 Supervised Learning in Python.mp4 | 194.05MB Introduction/001. Course Overview.mp4 | 69.36MB Module 1 Getting Started with Machine Learning/001. Lesson 1.1 Biggest Milestones in AI History.en.srt | 12.17KB Module 1 Getting Started with Machine Learning/001. Lesson 1.1 Biggest Milestones in AI History.mp4 | 77.14MB Module 1 Getting Started with Machine Learning/002. Lesson 1.2 Artificial Intelligence Principles.en.srt | 24.47KB Module 1 Getting Started with Machine Learning/002. Lesson 1.2 Artificial Intelligence Principles.mp4 | 90.33MB Module 2 Mathematical Concepts of Machine Learning/001. Lesson 2.1 Introduction to the Mathematical Principles of Machine Learning.en.srt | 39.06KB Module 2 Mathematical Concepts of Machine Learning/001. Lesson 2.1 Introduction to the Mathematical Principles of Machine Learning.mp4 | 154.08MB Module 2 Mathematical Concepts of Machine Learning/002. Lesson 2.2 Vectors.en.srt | 35.12KB Module 2 Mathematical Concepts of Machine Learning/002. Lesson 2.2 Vectors.mp4 | 126.46MB Module 2 Mathematical Concepts of Machine Learning/003. Lesson 2.3 Matrices Basics.en.srt | 38.04KB Module 2 Mathematical Concepts of Machine Learning/003. Lesson 2.3 Matrices Basics.mp4 | 170.21MB Module 2 Mathematical Concepts of Machine Learning/004. Lesson 2.4 Matrices Decomposition.en.srt | 21.12KB Module 2 Mathematical Concepts of Machine Learning/004. Lesson 2.4 Matrices Decomposition.mp4 | 104.27MB Module 3 Statistical Concepts of Machine Learning/001. Lesson 3.1 Introduction to the Statistical Principles of Machine Learning.en.srt | 27.25KB Module 3 Statistical Concepts of Machine Learning/001. Lesson 3.1 Introduction to the Statistical Principles of Machine Learning.mp4 | 127.49MB Module 3 Statistical Concepts of Machine Learning/002. Lesson 3.2 Probability Distributions.en.srt | 24.67KB Module 3 Statistical Concepts of Machine Learning/002. Lesson 3.2 Probability Distributions.mp4 | 116.83MB Module 3 Statistical Concepts of Machine Learning/003. Lesson 3.3 Descriptive Statistics Basics for Machine Learning - Measures of Central Tendency.en.srt | 24.81KB Module 3 Statistical Concepts of Machine Learning/003. Lesson 3.3 Descriptive Statistics Basics for Machine Learning - Measures of Central Tendency.mp4 | 108.80MB Module 3 Statistical Concepts of Machine Learning/004. Lesson 3.4 Descriptive Statistics Basics for Machine Learning - Measures of Dispersion.en.srt | 22.51KB Module 3 Statistical Concepts of Machine Learning/004. Lesson 3.4 Descriptive Statistics Basics for Machine Learning - Measures of Dispersion.mp4 | 117.23MB Module 3 Statistical Concepts of Machine Learning/005. Lesson 3.5 Statistical Inference and Modeling Basics.en.srt | 35.11KB Module 3 Statistical Concepts of Machine Learning/005. Lesson 3.5 Statistical Inference and Modeling Basics.mp4 | 129.30MB Module 4 Supervised Learning Fundamentals/001. Lesson 4.1 Supervision in Machine Learning.en.srt | 38.78KB Module 4 Supervised Learning Fundamentals/001. Lesson 4.1 Supervision in Machine Learning.mp4 | 165.77MB Module 4 Supervised Learning Fundamentals/002. Lesson 4.2 Introduction to Feature Engineering.en.srt | 48.18KB Module 4 Supervised Learning Fundamentals/002. Lesson 4.2 Introduction to Feature Engineering.mp4 | 161.73MB Module 4 Supervised Learning Fundamentals/003. Lesson 4.3 Intro to Regression and Regression Metrics.en.srt | 21.19KB Module 4 Supervised Learning Fundamentals/003. Lesson 4.3 Intro to Regression and Regression Metrics.mp4 | 99.35MB Module 4 Supervised Learning Fundamentals/004. Lesson 4.4 Linear Regression Basics - Closed-form solution.en.srt | 25.25KB Module 4 Supervised Learning Fundamentals/004. Lesson 4.4 Linear Regression Basics - Closed-form solution.mp4 | 129.73MB Module 4 Supervised Learning Fundamentals/005. Lesson 4.5 Linear Regression Basics - Multivariate Regression.en.srt | 17.89KB Module 4 Supervised Learning Fundamentals/005. Lesson 4.5 Linear Regression Basics - Multivariate Regression.mp4 | 69.68MB Module 4 Supervised Learning Fundamentals/006. Lesson 4.6 Linear Regression in Python - Simple and Multivariate Regression.en.srt | 40.47KB Module 4 Supervised Learning Fundamentals/006. Lesson 4.6 Linear Regression in Python - Simple and Multivariate Regression.mp4 | 125.40MB Module 4 Supervised Learning Fundamentals/007. Lesson 4.7 Linear Regression in Python - Testing the Assumptions.en.srt | 31.63KB Module 4 Supervised Learning Fundamentals/007. Lesson 4.7 Linear Regression in Python - Testing the Assumptions.mp4 | 141.76MB Module 4 Supervised Learning Fundamentals/008. Lesson 4.8 Intro to Classification.en.srt | 14.86KB Module 4 Supervised Learning Fundamentals/008. Lesson 4.8 Intro to Classification.mp4 | 56.71MB Module 4 Supervised Learning Fundamentals/009. Lesson 4.9 Classification Metrics.en.srt | 33.48KB Module 4 Supervised Learning Fundamentals/009. Lesson 4.9 Classification Metrics.mp4 | 146.58MB Module 4 Supervised Learning Fundamentals/010. Lesson 4.10 Class Imbalance Problems.en.srt | 35.44KB Module 4 Supervised Learning Fundamentals/010. Lesson 4.10 Class Imbalance Problems.mp4 | 153.74MB Module 4 Supervised Learning Fundamentals/011. Lesson 4.11 Logistic Regression Basics.en.srt | 25.02KB Module 4 Supervised Learning Fundamentals/011. Lesson 4.11 Logistic Regression Basics.mp4 | 111.54MB Module 4 Supervised Learning Fundamentals/012. Lesson 4.12 Decision Trees Basics.en.srt | 36.72KB Module 4 Supervised Learning Fundamentals/012. Lesson 4.12 Decision Trees Basics.mp4 | 156.68MB Module 4 Supervised Learning Fundamentals/013. Lesson 4.13 Supervised Learning in Python.en.srt | 47.02KB Introduction/001. Course Overview.en.srt | 10.10KB Module 4 Supervised Learning Fundamentals/014. Lesson 4.14 Introduction to Hyperparameter Optimization.en.srt | 40.21KB Module 4 Supervised Learning Fundamentals/014. Lesson 4.14 Introduction to Hyperparameter Optimization.mp4 | 163.64MB Module 5 Unsupervised Learning Fundamentals/001. Lesson 5.1 Unsupervised Machine Learning.en.srt | 28.40KB Module 5 Unsupervised Learning Fundamentals/001. Lesson 5.1 Unsupervised Machine Learning.mp4 | 106.81MB Module 5 Unsupervised Learning Fundamentals/002. Lesson 5.2 Clustering Basics.en.srt | 15.30KB Module 5 Unsupervised Learning Fundamentals/002. Lesson 5.2 Clustering Basics.mp4 | 62.00MB Module 5 Unsupervised Learning Fundamentals/003. Lesson 5.3 k-Means Clustering.en.srt | 32.47KB Module 5 Unsupervised Learning Fundamentals/003. Lesson 5.3 k-Means Clustering.mp4 | 141.44MB Module 5 Unsupervised Learning Fundamentals/004. Lesson 5.4 Principal Component Analysis (PCA) Basics.en.srt | 30.98KB Module 5 Unsupervised Learning Fundamentals/004. Lesson 5.4 Principal Component Analysis (PCA) Basics.mp4 | 119.91MB Module 5 Unsupervised Learning Fundamentals/005. Lesson 5.5 Unsupervised Learning in Python.en.srt | 32.76KB Module 5 Unsupervised Learning Fundamentals/005. Lesson 5.5 Unsupervised Learning in Python.mp4 | 163.25MB Module 6 Machine Learning Applications/001. Lesson 6.1 Introduction to Natural Language Processing (NLP).en.srt | 26.76KB Module 6 Machine Learning Applications/001. Lesson 6.1 Introduction to Natural Language Processing (NLP).mp4 | 133.50MB Module 6 Machine Learning Applications/002. Lesson 6.2 Text Representation Methods - Part 1 Bag-of-Words & N-Grams.en.srt | 25.86KB Module 6 Machine Learning Applications/002. Lesson 6.2 Text Representation Methods - Part 1 Bag-of-Words & N-Grams.mp4 | 104.49MB Module 6 Machine Learning Applications/003. Lesson 6.3 Text Representation Methods - Part 2 TF-IDF Method.en.srt | 26.01KB Module 6 Machine Learning Applications/003. Lesson 6.3 Text Representation Methods - Part 2 TF-IDF Method.mp4 | 123.61MB Module 6 Machine Learning Applications/004. Lesson 6.4 Text Representation Methods - Part 3 Word Embeddings.en.srt | 18.18KB Module 6 Machine Learning Applications/004. Lesson 6.4 Text Representation Methods - Part 3 Word Embeddings.mp4 | 76.88MB