Certified AI Engineering Masterclass From Zero to AI Hero

File Name

Size

12. Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling/7. Day 6 Sequence-to-Sequence Models and Applications.mp4

163 MB

1. Introduction to Course/1. Introduction to AI Engineering Masterclass From Zero to AI Hero.mp4

16 MB

1. Introduction to Course/1. Introduction to AI Engineering Masterclass From Zero to AI Hero.mp4.log

714 B

1. Introduction to Course/1. Introduction to AI Engineering Masterclass From Zero to AI Hero.srt

5.9 kB

1. Introduction to Course/2. Resources for the Course - Slides and Code Files.html

87 B

1. Introduction to Course/2.1 AIBootcamp.pdf

2.4 MB

1. Introduction to Course/2.2 Code_files.zip

30 MB

2. Week 1 Python Programming Basics/1. Introduction to Week 1 Python Programming Basics RUS.srt

1.3 kB

2. Week 1 Python Programming Basics/1. Introduction to Week 1 Python Programming Basics.mp4

2.5 MB

2. Week 1 Python Programming Basics/1. Introduction to Week 1 Python Programming Basics.srt

850 B

2. Week 1 Python Programming Basics/2. Day 1 Introduction to Python and Development Setup RUS.srt

42 kB

2. Week 1 Python Programming Basics/2. Day 1 Introduction to Python and Development Setup.mp4

77 MB

2. Week 1 Python Programming Basics/2. Day 1 Introduction to Python and Development Setup.srt

27 kB

2. Week 1 Python Programming Basics/3. Day 2 Control Flow in Python RUS.srt

65 kB

2. Week 1 Python Programming Basics/3. Day 2 Control Flow in Python.mp4

123 MB

2. Week 1 Python Programming Basics/3. Day 2 Control Flow in Python.srt

43 kB

2. Week 1 Python Programming Basics/4. Day 3 Functions and Modules RUS.srt

45 kB

2. Week 1 Python Programming Basics/4. Day 3 Functions and Modules.mp4

88 MB

2. Week 1 Python Programming Basics/4. Day 3 Functions and Modules.srt

29 kB

2. Week 1 Python Programming Basics/5. Day 4 Data Structures (Lists, Tuples, Dictionaries, Sets) RUS.srt

64 kB

2. Week 1 Python Programming Basics/5. Day 4 Data Structures (Lists, Tuples, Dictionaries, Sets).mp4

115 MB

2. Week 1 Python Programming Basics/5. Day 4 Data Structures (Lists, Tuples, Dictionaries, Sets).srt

41 kB

2. Week 1 Python Programming Basics/6. Day 5 Working with Strings RUS.srt

47 kB

2. Week 1 Python Programming Basics/6. Day 5 Working with Strings.srt

30 kB

2. Week 1 Python Programming Basics/6. Day 5 Working with Strings_edit.mp4

89 MB

2. Week 1 Python Programming Basics/7. Day 6 File Handling RUS.srt

47 kB

2. Week 1 Python Programming Basics/7. Day 6 File Handling.mp4

86 MB

2. Week 1 Python Programming Basics/7. Day 6 File Handling.srt

30 kB

2. Week 1 Python Programming Basics/8. Day 7 Pythonic Code and Project Work RUS.srt

74 kB

2. Week 1 Python Programming Basics/8. Day 7 Pythonic Code and Project Work.mp4

149 MB

2. Week 1 Python Programming Basics/8. Day 7 Pythonic Code and Project Work.srt

49 kB

3. Week 2 Data Science Essentials/1. Introduction to Week 2 Data Science Essentials RUS.srt

1.4 kB

3. Week 2 Data Science Essentials/1. Introduction to Week 2 Data Science Essentials.mp4

2.8 MB

3. Week 2 Data Science Essentials/1. Introduction to Week 2 Data Science Essentials.srt

926 B

3. Week 2 Data Science Essentials/2. Day 1 Introduction to NumPy for Numerical Computing RUS.srt

42 kB

3. Week 2 Data Science Essentials/2. Day 1 Introduction to NumPy for Numerical Computing.mp4

86 MB

3. Week 2 Data Science Essentials/2. Day 1 Introduction to NumPy for Numerical Computing.mp4.idx2

940 kB

3. Week 2 Data Science Essentials/2. Day 1 Introduction to NumPy for Numerical Computing.srt

28 kB

3. Week 2 Data Science Essentials/3. Day 2 Advanced NumPy Operations RUS.srt

43 kB

3. Week 2 Data Science Essentials/3. Day 2 Advanced NumPy Operations.mp4

81 MB

3. Week 2 Data Science Essentials/3. Day 2 Advanced NumPy Operations.mp4.idx2

888 kB

3. Week 2 Data Science Essentials/3. Day 2 Advanced NumPy Operations.srt

28 kB

3. Week 2 Data Science Essentials/4. Day 3 Introduction to Pandas for Data Manipulation RUS.srt

39 kB

3. Week 2 Data Science Essentials/4. Day 3 Introduction to Pandas for Data Manipulation.mp4

74 MB

3. Week 2 Data Science Essentials/4. Day 3 Introduction to Pandas for Data Manipulation.mp4.idx2

814 kB

3. Week 2 Data Science Essentials/4. Day 3 Introduction to Pandas for Data Manipulation.srt

25 kB

3. Week 2 Data Science Essentials/5. Day 4 Data Cleaning and Preparation with Pandas RUS.srt

50 kB

3. Week 2 Data Science Essentials/5. Day 4 Data Cleaning and Preparation with Pandas.mp4

92 MB

3. Week 2 Data Science Essentials/5. Day 4 Data Cleaning and Preparation with Pandas.mp4.idx2

1008 kB

3. Week 2 Data Science Essentials/5. Day 4 Data Cleaning and Preparation with Pandas.srt

32 kB

3. Week 2 Data Science Essentials/6. Day 5 Data Aggregation and Grouping in Pandas RUS.srt

28 kB

3. Week 2 Data Science Essentials/6. Day 5 Data Aggregation and Grouping in Pandas.mp4

57 MB

3. Week 2 Data Science Essentials/6. Day 5 Data Aggregation and Grouping in Pandas.mp4.idx2

624 kB

3. Week 2 Data Science Essentials/6. Day 5 Data Aggregation and Grouping in Pandas.srt

18 kB

3. Week 2 Data Science Essentials/7. Day 6 Data Visualization with Matplotlib and Seaborn RUS.srt

48 kB

3. Week 2 Data Science Essentials/7. Day 6 Data Visualization with Matplotlib and Seaborn.mp4

102 MB

3. Week 2 Data Science Essentials/7. Day 6 Data Visualization with Matplotlib and Seaborn.mp4.idx2

1.1 MB

3. Week 2 Data Science Essentials/7. Day 6 Data Visualization with Matplotlib and Seaborn.srt

31 kB

3. Week 2 Data Science Essentials/8. Day 7 Exploratory Data Analysis (EDA) Project RUS.srt

42 kB

3. Week 2 Data Science Essentials/8. Day 7 Exploratory Data Analysis (EDA) Project.mp4

86 MB

3. Week 2 Data Science Essentials/8. Day 7 Exploratory Data Analysis (EDA) Project.mp4.idx2

953 kB

3. Week 2 Data Science Essentials/8. Day 7 Exploratory Data Analysis (EDA) Project.srt

27 kB

4. Week 3 Mathematics for Machine Learning/1. Introduction to Week 3 Mathematics for Machine Learning RUS.srt

1.6 kB

4. Week 3 Mathematics for Machine Learning/1. Introduction to Week 3 Mathematics for Machine Learning.mp4

2.7 MB

4. Week 3 Mathematics for Machine Learning/1. Introduction to Week 3 Mathematics for Machine Learning.mp4.idx2

30 kB

4. Week 3 Mathematics for Machine Learning/1. Introduction to Week 3 Mathematics for Machine Learning.srt

1.1 kB

4. Week 3 Mathematics for Machine Learning/2. Day 1 Linear Algebra Fundamentals RUS.srt

40 kB

4. Week 3 Mathematics for Machine Learning/2. Day 1 Linear Algebra Fundamentals.mp4

80 MB

4. Week 3 Mathematics for Machine Learning/2. Day 1 Linear Algebra Fundamentals.mp4.idx2

882 kB

4. Week 3 Mathematics for Machine Learning/2. Day 1 Linear Algebra Fundamentals.srt

26 kB

4. Week 3 Mathematics for Machine Learning/3. Day 2 Advanced Linear Algebra Concepts RUS.srt

34 kB

4. Week 3 Mathematics for Machine Learning/3. Day 2 Advanced Linear Algebra Concepts.mp4

74 MB

4. Week 3 Mathematics for Machine Learning/3. Day 2 Advanced Linear Algebra Concepts.mp4.idx2

812 kB

4. Week 3 Mathematics for Machine Learning/3. Day 2 Advanced Linear Algebra Concepts.srt

22 kB

4. Week 3 Mathematics for Machine Learning/4. Day 3 Calculus for Machine Learning (Derivatives) RUS.srt

32 kB

4. Week 3 Mathematics for Machine Learning/4. Day 3 Calculus for Machine Learning (Derivatives).mp4

68 MB

4. Week 3 Mathematics for Machine Learning/4. Day 3 Calculus for Machine Learning (Derivatives).mp4.idx2

749 kB

4. Week 3 Mathematics for Machine Learning/4. Day 3 Calculus for Machine Learning (Derivatives).srt

21 kB

4. Week 3 Mathematics for Machine Learning/5. Day 4 Calculus for Machine Learning (Integrals and Optimization) RUS.srt

28 kB

4. Week 3 Mathematics for Machine Learning/5. Day 4 Calculus for Machine Learning (Integrals and Optimization).mp4

62 MB

4. Week 3 Mathematics for Machine Learning/5. Day 4 Calculus for Machine Learning (Integrals and Optimization).mp4.idx2

679 kB

4. Week 3 Mathematics for Machine Learning/5. Day 4 Calculus for Machine Learning (Integrals and Optimization).srt

18 kB

4. Week 3 Mathematics for Machine Learning/6. Day 5 Probability Theory and Distributions RUS.srt

42 kB

4. Week 3 Mathematics for Machine Learning/6. Day 5 Probability Theory and Distributions.mp4

95 MB

4. Week 3 Mathematics for Machine Learning/6. Day 5 Probability Theory and Distributions.mp4.idx2

1.0 MB

4. Week 3 Mathematics for Machine Learning/6. Day 5 Probability Theory and Distributions.srt

27 kB

4. Week 3 Mathematics for Machine Learning/7. Day 6 Statistics Fundamentals RUS.srt

34 kB

4. Week 3 Mathematics for Machine Learning/7. Day 6 Statistics Fundamentals.mp4

72 MB

4. Week 3 Mathematics for Machine Learning/7. Day 6 Statistics Fundamentals.mp4.idx2

788 kB

4. Week 3 Mathematics for Machine Learning/7. Day 6 Statistics Fundamentals.srt

22 kB

4. Week 3 Mathematics for Machine Learning/8. Day 7 Math-Driven Mini Project – Linear Regression from Scratch RUS.srt

25 kB

4. Week 3 Mathematics for Machine Learning/8. Day 7 Math-Driven Mini Project – Linear Regression from Scratch.mp4

57 MB

4. Week 3 Mathematics for Machine Learning/8. Day 7 Math-Driven Mini Project – Linear Regression from Scratch.mp4.idx2

620 kB

4. Week 3 Mathematics for Machine Learning/8. Day 7 Math-Driven Mini Project – Linear Regression from Scratch.srt

16 kB

5. Week 4 Probability and Statistics for Machine Learning/1. Introduction to Week 4 Probability and Statistics for Machine Learning RUS.srt

1.6 kB

5. Week 4 Probability and Statistics for Machine Learning/1. Introduction to Week 4 Probability and Statistics for Machine Learning.mp4

2.9 MB

5. Week 4 Probability and Statistics for Machine Learning/1. Introduction to Week 4 Probability and Statistics for Machine Learning.mp4.idx2

32 kB

5. Week 4 Probability and Statistics for Machine Learning/1. Introduction to Week 4 Probability and Statistics for Machine Learning.srt

1.0 kB

5. Week 4 Probability and Statistics for Machine Learning/2. Day 1 Probability Theory and Random Variables RUS.srt

30 kB

5. Week 4 Probability and Statistics for Machine Learning/2. Day 1 Probability Theory and Random Variables.mp4

70 MB

5. Week 4 Probability and Statistics for Machine Learning/2. Day 1 Probability Theory and Random Variables.mp4.idx2

765 kB

5. Week 4 Probability and Statistics for Machine Learning/2. Day 1 Probability Theory and Random Variables.srt

20 kB

5. Week 4 Probability and Statistics for Machine Learning/3. Day 2 Probability Distributions in Machine Learning RUS.srt

30 kB

5. Week 4 Probability and Statistics for Machine Learning/3. Day 2 Probability Distributions in Machine Learning.mp4

64 MB

5. Week 4 Probability and Statistics for Machine Learning/3. Day 2 Probability Distributions in Machine Learning.mp4.idx2

708 kB

5. Week 4 Probability and Statistics for Machine Learning/3. Day 2 Probability Distributions in Machine Learning.srt

19 kB

5. Week 4 Probability and Statistics for Machine Learning/4. Day 3 Statistical Inference - Estimation and Confidence Intervals RUS.srt

27 kB

5. Week 4 Probability and Statistics for Machine Learning/4. Day 3 Statistical Inference - Estimation and Confidence Intervals.mp4

59 MB

5. Week 4 Probability and Statistics for Machine Learning/4. Day 3 Statistical Inference - Estimation and Confidence Intervals.mp4.idx2

646 kB

5. Week 4 Probability and Statistics for Machine Learning/4. Day 3 Statistical Inference - Estimation and Confidence Intervals.srt

17 kB

5. Week 4 Probability and Statistics for Machine Learning/5. Day 4 Hypothesis Testing and P-Values RUS.srt

19 kB

5. Week 4 Probability and Statistics for Machine Learning/5. Day 4 Hypothesis Testing and P-Values.mp4

44 MB

5. Week 4 Probability and Statistics for Machine Learning/5. Day 4 Hypothesis Testing and P-Values.mp4.idx2

484 kB

5. Week 4 Probability and Statistics for Machine Learning/5. Day 4 Hypothesis Testing and P-Values.srt

12 kB

5. Week 4 Probability and Statistics for Machine Learning/6. Day 5 Types of Hypothesis Tests RUS.srt

32 kB

5. Week 4 Probability and Statistics for Machine Learning/6. Day 5 Types of Hypothesis Tests.mp4

70 MB

5. Week 4 Probability and Statistics for Machine Learning/6. Day 5 Types of Hypothesis Tests.mp4.idx2

770 kB

5. Week 4 Probability and Statistics for Machine Learning/6. Day 5 Types of Hypothesis Tests.srt

21 kB

5. Week 4 Probability and Statistics for Machine Learning/7. Day 6 Correlation and Regression Analysis RUS.srt

31 kB

5. Week 4 Probability and Statistics for Machine Learning/7. Day 6 Correlation and Regression Analysis.mp4

66 MB

5. Week 4 Probability and Statistics for Machine Learning/7. Day 6 Correlation and Regression Analysis.mp4.idx2

720 kB

5. Week 4 Probability and Statistics for Machine Learning/7. Day 6 Correlation and Regression Analysis.srt

20 kB

5. Week 4 Probability and Statistics for Machine Learning/8. Day 7 Statistical Analysis Project – Analyzing Real-World Data RUS.srt

46 kB

5. Week 4 Probability and Statistics for Machine Learning/8. Day 7 Statistical Analysis Project – Analyzing Real-World Data.mp4

93 MB

5. Week 4 Probability and Statistics for Machine Learning/8. Day 7 Statistical Analysis Project – Analyzing Real-World Data.mp4.idx2

1.0 MB

5. Week 4 Probability and Statistics for Machine Learning/8. Day 7 Statistical Analysis Project – Analyzing Real-World Data.srt

30 kB

6. Week 5 Introduction to Machine Learning/1. Introduction to Week 5 Introduction to Machine Learning RUS.srt

1.6 kB

6. Week 5 Introduction to Machine Learning/1. Introduction to Week 5 Introduction to Machine Learning.mp4

3.0 MB

6. Week 5 Introduction to Machine Learning/1. Introduction to Week 5 Introduction to Machine Learning.mp4.idx2

32 kB

6. Week 5 Introduction to Machine Learning/1. Introduction to Week 5 Introduction to Machine Learning.srt

1.0 kB

6. Week 5 Introduction to Machine Learning/2. Day 1 Machine Learning Basics and Terminology RUS.srt

31 kB

6. Week 5 Introduction to Machine Learning/2. Day 1 Machine Learning Basics and Terminology.mp4

58 MB

6. Week 5 Introduction to Machine Learning/2. Day 1 Machine Learning Basics and Terminology.mp4.idx2

642 kB

6. Week 5 Introduction to Machine Learning/2. Day 1 Machine Learning Basics and Terminology.srt

20 kB

6. Week 5 Introduction to Machine Learning/3. Day 2 Introduction to Supervised Learning and Regression Models RUS.srt

30 kB

6. Week 5 Introduction to Machine Learning/3. Day 2 Introduction to Supervised Learning and Regression Models.mp4

60 MB

6. Week 5 Introduction to Machine Learning/3. Day 2 Introduction to Supervised Learning and Regression Models.mp4.idx2

651 kB

6. Week 5 Introduction to Machine Learning/3. Day 2 Introduction to Supervised Learning and Regression Models.srt

18 kB

6. Week 5 Introduction to Machine Learning/4. Day 3 Advanced Regression Models – Polynomial Regression and Regularization RUS.srt

59 kB

6. Week 5 Introduction to Machine Learning/4. Day 3 Advanced Regression Models – Polynomial Regression and Regularization.mp4

133 MB

6. Week 5 Introduction to Machine Learning/4. Day 3 Advanced Regression Models – Polynomial Regression and Regularization.mp4.idx2

1.4 MB

6. Week 5 Introduction to Machine Learning/4. Day 3 Advanced Regression Models – Polynomial Regression and Regularization.srt

37 kB

6. Week 5 Introduction to Machine Learning/5. Day 4 Introduction to Classification and Logistic Regression RUS.srt

44 kB

6. Week 5 Introduction to Machine Learning/5. Day 4 Introduction to Classification and Logistic Regression.mp4

91 MB

6. Week 5 Introduction to Machine Learning/5. Day 4 Introduction to Classification and Logistic Regression.mp4.idx2

1002 kB

6. Week 5 Introduction to Machine Learning/5. Day 4 Introduction to Classification and Logistic Regression.srt

28 kB

6. Week 5 Introduction to Machine Learning/6. Day 5 Model Evaluation and Cross-Validation RUS.srt

32 kB

6. Week 5 Introduction to Machine Learning/6. Day 5 Model Evaluation and Cross-Validation.mp4

60 MB

6. Week 5 Introduction to Machine Learning/6. Day 5 Model Evaluation and Cross-Validation.mp4.idx2

660 kB

6. Week 5 Introduction to Machine Learning/6. Day 5 Model Evaluation and Cross-Validation.srt

19 kB

6. Week 5 Introduction to Machine Learning/7. Day 6 k-Nearest Neighbors (k-NN) Algorithm RUS.srt

31 kB

6. Week 5 Introduction to Machine Learning/7. Day 6 k-Nearest Neighbors (k-NN) Algorithm.mp4

64 MB

6. Week 5 Introduction to Machine Learning/7. Day 6 k-Nearest Neighbors (k-NN) Algorithm.mp4.idx2

716 kB

6. Week 5 Introduction to Machine Learning/7. Day 6 k-Nearest Neighbors (k-NN) Algorithm.srt

19 kB

6. Week 5 Introduction to Machine Learning/8. Day 7 Supervised Learning Mini Project RUS.srt

47 kB

6. Week 5 Introduction to Machine Learning/8. Day 7 Supervised Learning Mini Project.mp4

94 MB

6. Week 5 Introduction to Machine Learning/8. Day 7 Supervised Learning Mini Project.mp4.idx2

1.0 MB

6. Week 5 Introduction to Machine Learning/8. Day 7 Supervised Learning Mini Project.srt

30 kB

7. Week 6 Feature Engineering and Model Evaluation/1. Introduction to Week 6 Feature Engineering and Model Evaluation RUS.srt

1.4 kB

7. Week 6 Feature Engineering and Model Evaluation/1. Introduction to Week 6 Feature Engineering and Model Evaluation.mp4

2.7 MB

7. Week 6 Feature Engineering and Model Evaluation/1. Introduction to Week 6 Feature Engineering and Model Evaluation.mp4.idx2

29 kB

7. Week 6 Feature Engineering and Model Evaluation/1. Introduction to Week 6 Feature Engineering and Model Evaluation.srt

920 B

7. Week 6 Feature Engineering and Model Evaluation/2. Day 1 Introduction to Feature Engineering RUS.srt

30 kB

7. Week 6 Feature Engineering and Model Evaluation/2. Day 1 Introduction to Feature Engineering.mp4

54 MB

7. Week 6 Feature Engineering and Model Evaluation/2. Day 1 Introduction to Feature Engineering.mp4.idx2

597 kB

7. Week 6 Feature Engineering and Model Evaluation/2. Day 1 Introduction to Feature Engineering.srt

19 kB

7. Week 6 Feature Engineering and Model Evaluation/3. Day 2 Data Scaling and Normalization RUS.srt

31 kB

7. Week 6 Feature Engineering and Model Evaluation/3. Day 2 Data Scaling and Normalization.mp4

61 MB

7. Week 6 Feature Engineering and Model Evaluation/3. Day 2 Data Scaling and Normalization.mp4.idx2

673 kB

7. Week 6 Feature Engineering and Model Evaluation/3. Day 2 Data Scaling and Normalization.srt

18 kB

7. Week 6 Feature Engineering and Model Evaluation/4. Day 3 Encoding Categorical Variables RUS.srt

31 kB

7. Week 6 Feature Engineering and Model Evaluation/4. Day 3 Encoding Categorical Variables.mp4

63 MB

7. Week 6 Feature Engineering and Model Evaluation/4. Day 3 Encoding Categorical Variables.mp4.idx2

692 kB

7. Week 6 Feature Engineering and Model Evaluation/4. Day 3 Encoding Categorical Variables.srt

19 kB

7. Week 6 Feature Engineering and Model Evaluation/5. Day 4 Feature Selection Techniques RUS.srt

27 kB

7. Week 6 Feature Engineering and Model Evaluation/5. Day 4 Feature Selection Techniques.mp4

61 MB

7. Week 6 Feature Engineering and Model Evaluation/5. Day 4 Feature Selection Techniques.mp4.idx2

674 kB

7. Week 6 Feature Engineering and Model Evaluation/5. Day 4 Feature Selection Techniques.srt

18 kB

7. Week 6 Feature Engineering and Model Evaluation/6. Day 5 Creating and Transforming Features RUS.srt

31 kB

7. Week 6 Feature Engineering and Model Evaluation/6. Day 5 Creating and Transforming Features.mp4

68 MB

7. Week 6 Feature Engineering and Model Evaluation/6. Day 5 Creating and Transforming Features.mp4.idx2

747 kB

7. Week 6 Feature Engineering and Model Evaluation/6. Day 5 Creating and Transforming Features.srt

20 kB

7. Week 6 Feature Engineering and Model Evaluation/7. Day 6 Model Evaluation Techniques RUS.srt

29 kB

7. Week 6 Feature Engineering and Model Evaluation/7. Day 6 Model Evaluation Techniques.mp4

59 MB

7. Week 6 Feature Engineering and Model Evaluation/7. Day 6 Model Evaluation Techniques.mp4.idx2

652 kB

7. Week 6 Feature Engineering and Model Evaluation/7. Day 6 Model Evaluation Techniques.srt

18 kB

7. Week 6 Feature Engineering and Model Evaluation/8. Day 7 Cross-Validation and Hyperparameter Tuning RUS.srt

38 kB

7. Week 6 Feature Engineering and Model Evaluation/8. Day 7 Cross-Validation and Hyperparameter Tuning.mp4

75 MB

7. Week 6 Feature Engineering and Model Evaluation/8. Day 7 Cross-Validation and Hyperparameter Tuning.mp4.idx2

826 kB

7. Week 6 Feature Engineering and Model Evaluation/8. Day 7 Cross-Validation and Hyperparameter Tuning.srt

24 kB

8. Week 7 Advanced Machine Learning Algorithms/1. Introduction to Week 7 Advanced Machine Learning Algorithms RUS.srt

1.4 kB

8. Week 7 Advanced Machine Learning Algorithms/1. Introduction to Week 7 Advanced Machine Learning Algorithms.mp4

2.6 MB

8. Week 7 Advanced Machine Learning Algorithms/1. Introduction to Week 7 Advanced Machine Learning Algorithms.mp4.idx2

28 kB

8. Week 7 Advanced Machine Learning Algorithms/1. Introduction to Week 7 Advanced Machine Learning Algorithms.srt

939 B

8. Week 7 Advanced Machine Learning Algorithms/2. Day 1 Introduction to Ensemble Learning RUS.srt

28 kB

8. Week 7 Advanced Machine Learning Algorithms/2. Day 1 Introduction to Ensemble Learning.mp4

56 MB

8. Week 7 Advanced Machine Learning Algorithms/2. Day 1 Introduction to Ensemble Learning.mp4.idx2

621 kB

8. Week 7 Advanced Machine Learning Algorithms/2. Day 1 Introduction to Ensemble Learning.srt

18 kB

8. Week 7 Advanced Machine Learning Algorithms/3. Day 2 Bagging and Random Forests RUS.srt

28 kB

8. Week 7 Advanced Machine Learning Algorithms/3. Day 2 Bagging and Random Forests.mp4

54 MB

8. Week 7 Advanced Machine Learning Algorithms/3. Day 2 Bagging and Random Forests.mp4.idx2

592 kB

8. Week 7 Advanced Machine Learning Algorithms/3. Day 2 Bagging and Random Forests.srt

17 kB

8. Week 7 Advanced Machine Learning Algorithms/4. Day 3 Boosting and Gradient Boosting RUS.srt

30 kB

8. Week 7 Advanced Machine Learning Algorithms/4. Day 3 Boosting and Gradient Boosting.mp4

60 MB

8. Week 7 Advanced Machine Learning Algorithms/4. Day 3 Boosting and Gradient Boosting.mp4.idx2

664 kB

8. Week 7 Advanced Machine Learning Algorithms/4. Day 3 Boosting and Gradient Boosting.srt

18 kB

8. Week 7 Advanced Machine Learning Algorithms/5. Day 4 Introduction to XGBoost RUS.srt

34 kB

8. Week 7 Advanced Machine Learning Algorithms/5. Day 4 Introduction to XGBoost.mp4

73 MB

8. Week 7 Advanced Machine Learning Algorithms/5. Day 4 Introduction to XGBoost.mp4.idx2

810 kB

8. Week 7 Advanced Machine Learning Algorithms/5. Day 4 Introduction to XGBoost.srt

22 kB

8. Week 7 Advanced Machine Learning Algorithms/6. Day 5 LightGBM and CatBoost RUS.srt

35 kB

8. Week 7 Advanced Machine Learning Algorithms/6. Day 5 LightGBM and CatBoost.mp4

76 MB

8. Week 7 Advanced Machine Learning Algorithms/6. Day 5 LightGBM and CatBoost.mp4.idx2

838 kB

8. Week 7 Advanced Machine Learning Algorithms/6. Day 5 LightGBM and CatBoost.srt

23 kB

8. Week 7 Advanced Machine Learning Algorithms/7. Day 6 Handling Imbalanced Data RUS.srt

32 kB

8. Week 7 Advanced Machine Learning Algorithms/7. Day 6 Handling Imbalanced Data.mp4

62 MB

8. Week 7 Advanced Machine Learning Algorithms/7. Day 6 Handling Imbalanced Data.mp4.idx2

688 kB

8. Week 7 Advanced Machine Learning Algorithms/7. Day 6 Handling Imbalanced Data.srt

20 kB

8. Week 7 Advanced Machine Learning Algorithms/8. Day 7 Ensemble Learning Project – Comparing Models on a Real Dataset RUS.srt

37 kB

8. Week 7 Advanced Machine Learning Algorithms/8. Day 7 Ensemble Learning Project – Comparing Models on a Real Dataset.mp4

85 MB

8. Week 7 Advanced Machine Learning Algorithms/8. Day 7 Ensemble Learning Project – Comparing Models on a Real Dataset.mp4.idx2

932 kB

8. Week 7 Advanced Machine Learning Algorithms/8. Day 7 Ensemble Learning Project – Comparing Models on a Real Dataset.srt

24 kB

9. Week 8 Model Tuning and Optimization/1. Introduction to Week 8 Model Tuning and Optimization RUS.srt

1.8 kB

9. Week 8 Model Tuning and Optimization/1. Introduction to Week 8 Model Tuning and Optimization.mp4

3.4 MB

9. Week 8 Model Tuning and Optimization/1. Introduction to Week 8 Model Tuning and Optimization.mp4.idx2

37 kB

9. Week 8 Model Tuning and Optimization/1. Introduction to Week 8 Model Tuning and Optimization.srt

1.1 kB

9. Week 8 Model Tuning and Optimization/2. Day 1 Introduction to Hyperparameter Tuning RUS.srt

26 kB

9. Week 8 Model Tuning and Optimization/2. Day 1 Introduction to Hyperparameter Tuning.mp4

51 MB

9. Week 8 Model Tuning and Optimization/2. Day 1 Introduction to Hyperparameter Tuning.mp4.idx2

568 kB

9. Week 8 Model Tuning and Optimization/2. Day 1 Introduction to Hyperparameter Tuning.srt

16 kB

9. Week 8 Model Tuning and Optimization/3. Day 2 Grid Search and Random Search RUS.srt

30 kB

9. Week 8 Model Tuning and Optimization/3. Day 2 Grid Search and Random Search.mp4

60 MB

9. Week 8 Model Tuning and Optimization/3. Day 2 Grid Search and Random Search.mp4.idx2

666 kB

9. Week 8 Model Tuning and Optimization/3. Day 2 Grid Search and Random Search.srt

18 kB

9. Week 8 Model Tuning and Optimization/4. Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization RUS.srt

44 kB

9. Week 8 Model Tuning and Optimization/4. Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp4

102 MB

9. Week 8 Model Tuning and Optimization/4. Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp4.idx2

1.1 MB

9. Week 8 Model Tuning and Optimization/4. Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.srt

28 kB

9. Week 8 Model Tuning and Optimization/5. Day 4 Regularization Techniques for Model Optimization RUS.srt

24 kB

9. Week 8 Model Tuning and Optimization/5. Day 4 Regularization Techniques for Model Optimization.mp4

49 MB

9. Week 8 Model Tuning and Optimization/5. Day 4 Regularization Techniques for Model Optimization.mp4.idx2

547 kB

9. Week 8 Model Tuning and Optimization/5. Day 4 Regularization Techniques for Model Optimization.srt

15 kB

9. Week 8 Model Tuning and Optimization/6. Day 5 Cross-Validation and Model Evaluation Techniques RUS.srt

24 kB

9. Week 8 Model Tuning and Optimization/6. Day 5 Cross-Validation and Model Evaluation Techniques.mp4

49 MB

9. Week 8 Model Tuning and Optimization/6. Day 5 Cross-Validation and Model Evaluation Techniques.mp4.idx2

536 kB

9. Week 8 Model Tuning and Optimization/6. Day 5 Cross-Validation and Model Evaluation Techniques.srt

15 kB

9. Week 8 Model Tuning and Optimization/7. Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV RUS.srt

32 kB

9. Week 8 Model Tuning and Optimization/7. Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.mp4

74 MB

9. Week 8 Model Tuning and Optimization/7. Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.mp4.idx2

803 kB

9. Week 8 Model Tuning and Optimization/7. Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.srt

20 kB

9. Week 8 Model Tuning and Optimization/8. Day 7 Optimization Project – Building and Tuning a Final Model RUS.srt

38 kB

9. Week 8 Model Tuning and Optimization/8. Day 7 Optimization Project – Building and Tuning a Final Model.mp4

86 MB

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1. Introduction to Course/1. Introduction to AI Engineering Masterclass From Zero to AI Hero RUS.srt

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