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585б |
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221б |
001 Introduction and Instructor.en.srt |
3.77Кб |
001 Introduction and Instructor.mp4 |
19.15Мб |
002 Motivation for this Course.en.srt |
9.27Кб |
002 Motivation for this Course.mp4 |
43.08Мб |
003 Past, Present and future of Machine Learning.en.srt |
8.88Кб |
003 Past, Present and future of Machine Learning.mp4 |
46.95Мб |
004 Course Overview.en.srt |
7.41Кб |
004 Course Overview.mp4 |
24.75Мб |
005 Please give us some feedback and Review.en.srt |
2.50Кб |
005 Please give us some feedback and Review.mp4 |
28.76Мб |
006 Link to the Python codes for the projects and the data.html |
2.07Кб |
007 Hello World.en.srt |
8.93Кб |
007 Hello World.mp4 |
37.61Мб |
008 Introduction to data types.en.srt |
5.26Кб |
008 Introduction to data types.mp4 |
31.91Мб |
009 Numbers.en.srt |
9.79Кб |
009 Numbers.mp4 |
39.58Мб |
010 Strings.en.srt |
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010 Strings.mp4 |
66.05Мб |
011 Tuples.en.srt |
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011 Tuples.mp4 |
41.45Мб |
012 Lists.en.srt |
11.64Кб |
012 Lists.mp4 |
57.96Мб |
013 Dictionaries.en.srt |
11.18Кб |
013 Dictionaries.mp4 |
54.51Мб |
014 Sets.en.srt |
9.29Кб |
014 Sets.mp4 |
50.65Мб |
015 Comparison Operators.en.srt |
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015 Comparison Operators.mp4 |
36.92Мб |
016 Logical Operators, User Input, Game.en.srt |
11.19Кб |
016 Logical Operators, User Input, Game.mp4 |
47.99Мб |
017 Decision Making (if,else,elif).en.srt |
11.23Кб |
017 Decision Making (if,else,elif).mp4 |
45.27Мб |
018 Decision Making (nested if).en.srt |
8.48Кб |
018 Decision Making (nested if).mp4 |
44.70Мб |
019 Better Coding Practice, Completing the Game.en.srt |
6.71Кб |
019 Better Coding Practice, Completing the Game.mp4 |
42.30Мб |
020 For Loop.en.srt |
11.06Кб |
020 For Loop.mp4 |
57.98Мб |
021 While Loop.en.srt |
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021 While Loop.mp4 |
43.70Мб |
022 Simple Functions.en.srt |
8.54Кб |
022 Simple Functions.mp4 |
39.47Мб |
023 Boolian and Value returning Function.en.srt |
14.44Кб |
023 Boolian and Value returning Function.mp4 |
72.66Мб |
024 Calculator Project.en.srt |
13.99Кб |
024 Calculator Project.mp4 |
85.84Мб |
025 Let's Introduce Machine Learning.en.srt |
9.25Кб |
025 Let's Introduce Machine Learning.mp4 |
36.39Мб |
026 Kids Vs Computer Learning.en.srt |
12.40Кб |
026 Kids Vs Computer Learning.mp4 |
58.25Мб |
027 Dataset.en.srt |
5.09Кб |
027 Dataset.mp4 |
26.28Мб |
028 Labels and Features.en.srt |
15.93Кб |
028 Labels and Features.mp4 |
87.16Мб |
029 Outliars.en.srt |
6.24Кб |
029 Outliars.mp4 |
29.43Мб |
030 Model and Training.en.srt |
10.07Кб |
030 Model and Training.mp4 |
42.98Мб |
031 Overfitting and Underfitting.en.srt |
9.98Кб |
031 Overfitting and Underfitting.mp4 |
47.64Мб |
032 Accuracy and Error.en.srt |
6.31Кб |
032 Accuracy and Error.mp4 |
32.78Мб |
033 Formates of Data.en.srt |
8.34Кб |
033 Formates of Data.mp4 |
35.91Мб |
034 Types of Learning.en.srt |
6.12Кб |
034 Types of Learning.mp4 |
32.27Мб |
035 Classsification Vs Regression.en.srt |
7.62Кб |
035 Classsification Vs Regression.mp4 |
37.85Мб |
036 Clustering.en.srt |
6.02Кб |
036 Clustering.mp4 |
32.41Мб |
037 Recap, Flow of Machine Learning Project.en.srt |
7.52Кб |
037 Recap, Flow of Machine Learning Project.mp4 |
26.95Мб |
038 Introduction and Motivation.en.srt |
7.28Кб |
038 Introduction and Motivation.mp4 |
65.40Мб |
039 How Decision Trees and Random Forest Work.en.srt |
10.40Кб |
039 How Decision Trees and Random Forest Work.mp4 |
49.81Мб |
040 Pros and Cons of Random Forest.en.srt |
8.47Кб |
040 Pros and Cons of Random Forest.mp4 |
35.81Мб |
041 Introduction to the final Project.en.srt |
7.28Кб |
041 Introduction to the final Project.mp4 |
65.45Мб |
042 Using NumPy for Random Forest.en.srt |
12.84Кб |
042 Using NumPy for Random Forest.mp4 |
61.75Мб |
043 Using Pandas for Random Forest (1).en.srt |
13.62Кб |
043 Using Pandas for Random Forest (1).mp4 |
67.60Мб |
044 Using Pandas for Random Forest (2).en.srt |
5.06Кб |
044 Using Pandas for Random Forest (2).mp4 |
29.45Мб |
045 Reading and Manipulating Dataset.en.srt |
12.91Кб |
045 Reading and Manipulating Dataset.mp4 |
100.23Мб |
046 Using Matplotlib for Data Visualization (1).en.srt |
14.39Кб |
046 Using Matplotlib for Data Visualization (1).mp4 |
71.23Мб |
047 Using Matplotlib for Data Visualization (2).en.srt |
6.30Кб |
047 Using Matplotlib for Data Visualization (2).mp4 |
31.56Мб |
048 Dealing with Missing Values.en.srt |
12.80Кб |
048 Dealing with Missing Values.mp4 |
68.99Мб |
049 Outliers Removal.en.srt |
9.69Кб |
049 Outliers Removal.mp4 |
60.64Мб |
050 Categorical to Numeric Conversion.en.srt |
16.97Кб |
050 Categorical to Numeric Conversion.mp4 |
97.73Мб |
051 Quick Implementation of Random Forest Model.en.srt |
15.97Кб |
051 Quick Implementation of Random Forest Model.mp4 |
103.98Мб |
052 Feature Importance.en.srt |
5.70Кб |
052 Feature Importance.mp4 |
36.77Мб |
053 Recursion.en.srt |
13.86Кб |
053 Recursion.mp4 |
48.72Мб |
054 Structure.en.srt |
10.27Кб |
054 Structure.mp4 |
40.56Мб |
055 Importing Data, Helper Functions.en.srt |
13.23Кб |
055 Importing Data, Helper Functions.mp4 |
71.30Мб |
056 Question and Partition.en.srt |
10.73Кб |
056 Question and Partition.mp4 |
58.75Мб |
057 Impurity.en.srt |
8.17Кб |
057 Impurity.mp4 |
36.73Мб |
058 Information Gain.en.srt |
8.94Кб |
058 Information Gain.mp4 |
47.84Мб |
059 Best Slip.en.srt |
11.60Кб |
059 Best Slip.mp4 |
80.04Мб |
060 Leaf and Decision Node.en.srt |
4.89Кб |
060 Leaf and Decision Node.mp4 |
32.50Мб |
061 How to Build Tree.en.srt |
9.29Кб |
061 How to Build Tree.mp4 |
61.84Мб |
062 Classify.en.srt |
9.85Кб |
062 Classify.mp4 |
70.56Мб |
063 Accuracy and Error.en.srt |
10.08Кб |
063 Accuracy and Error.mp4 |
59.22Мб |
064 Concluding and Remarks.en.srt |
8.23Кб |
064 Concluding and Remarks.mp4 |
31.98Мб |
065 Free Gift.html |
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TutsNode.com.txt |
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