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204.8 B
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001 Introduction and Instructor.en.srt
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001 Introduction and Instructor.mp4
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19.2 MB
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1
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002 Motivation for this Course.en.srt
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002 Motivation for this Course.mp4
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003 Past, Present and future of Machine Learning.en.srt
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003 Past, Present and future of Machine Learning.mp4
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004 Course Overview.en.srt
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004 Course Overview.mp4
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5
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005 Please give us some feedback and Review.en.srt
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005 Please give us some feedback and Review.mp4
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28.8 MB
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006 Link to the Python codes for the projects and the data.html
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7
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007 Hello World.en.srt
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007 Hello World.mp4
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008 Introduction to data types.en.srt
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008 Introduction to data types.mp4
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31.9 MB
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009 Numbers.en.srt
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009 Numbers.mp4
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39.6 MB
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010 Strings.en.srt
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010 Strings.mp4
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66 MB
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11
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011 Tuples.en.srt
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011 Tuples.mp4
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012 Lists.en.srt
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012 Lists.mp4
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58 MB
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013 Dictionaries.en.srt
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013 Dictionaries.mp4
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014 Sets.en.srt
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014 Sets.mp4
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015 Comparison Operators.en.srt
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015 Comparison Operators.mp4
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016 Logical Operators, User Input, Game.en.srt
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016 Logical Operators, User Input, Game.mp4
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48 MB
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017 Decision Making (if,else,elif).en.srt
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017 Decision Making (if,else,elif).mp4
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018 Decision Making (nested if).en.srt
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018 Decision Making (nested if).mp4
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44.7 MB
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18
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019 Better Coding Practice, Completing the Game.mp4
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42.3 MB
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19
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019 Better Coding Practice, Completing the Game.en.srt
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020 For Loop.en.srt
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020 For Loop.mp4
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58 MB
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021 While Loop.en.srt
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021 While Loop.mp4
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022 Simple Functions.en.srt
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022 Simple Functions.mp4
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023 Boolian and Value returning Function.mp4
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023 Boolian and Value returning Function.en.srt
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24
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024 Calculator Project.en.srt
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14 KB
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024 Calculator Project.mp4
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85.8 MB
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025 Let's Introduce Machine Learning.en.srt
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025 Let's Introduce Machine Learning.mp4
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36.4 MB
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25
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26
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026 Kids Vs Computer Learning.en.srt
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026 Kids Vs Computer Learning.mp4
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027 Dataset.en.srt
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027 Dataset.mp4
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028 Labels and Features.en.srt
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028 Labels and Features.mp4
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029 Outliars.en.srt
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029 Outliars.mp4
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29.4 MB
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030 Model and Training.en.srt
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030 Model and Training.mp4
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43 MB
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031 Overfitting and Underfitting.en.srt
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10 KB
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031 Overfitting and Underfitting.mp4
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31
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032 Accuracy and Error.en.srt
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032 Accuracy and Error.mp4
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32
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033 Formates of Data.en.srt
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033 Formates of Data.mp4
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034 Types of Learning.en.srt
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034 Types of Learning.mp4
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035 Classsification Vs Regression.en.srt
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035 Classsification Vs Regression.mp4
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37.8 MB
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036 Clustering.mp4
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32.4 MB
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036 Clustering.en.srt
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6 KB
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037 Recap, Flow of Machine Learning Project.mp4
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26.9 MB
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037 Recap, Flow of Machine Learning Project.en.srt
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038 Introduction and Motivation.en.srt
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038 Introduction and Motivation.mp4
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65.4 MB
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039 How Decision Trees and Random Forest Work.en.srt
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039 How Decision Trees and Random Forest Work.mp4
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49.8 MB
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040 Pros and Cons of Random Forest.en.srt
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040 Pros and Cons of Random Forest.mp4
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35.8 MB
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40
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041 Introduction to the final Project.en.srt
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041 Introduction to the final Project.mp4
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65.4 MB
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41
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156.3 KB
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042 Using NumPy for Random Forest.en.srt
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042 Using NumPy for Random Forest.mp4
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61.8 MB
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42
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043 Using Pandas for Random Forest (1).en.srt
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043 Using Pandas for Random Forest (1).mp4
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67.6 MB
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044 Using Pandas for Random Forest (2).en.srt
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044 Using Pandas for Random Forest (2).mp4
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29.4 MB
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045 Reading and Manipulating Dataset.mp4
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100.2 MB
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045 Reading and Manipulating Dataset.en.srt
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046 Using Matplotlib for Data Visualization (1).en.srt
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046 Using Matplotlib for Data Visualization (1).mp4
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71.2 MB
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047 Using Matplotlib for Data Visualization (2).en.srt
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047 Using Matplotlib for Data Visualization (2).mp4
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048 Dealing with Missing Values.en.srt
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048 Dealing with Missing Values.mp4
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69 MB
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049 Outliers Removal.en.srt
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049 Outliers Removal.mp4
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050 Categorical to Numeric Conversion.mp4
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50
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050 Categorical to Numeric Conversion.en.srt
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051 Quick Implementation of Random Forest Model.en.srt
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051 Quick Implementation of Random Forest Model.mp4
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104 MB
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052 Feature Importance.en.srt
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052 Feature Importance.mp4
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053 Recursion.en.srt
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053 Recursion.mp4
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48.7 MB
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054 Structure.en.srt
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054 Structure.mp4
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40.6 MB
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055 Importing Data, Helper Functions.en.srt
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055 Importing Data, Helper Functions.mp4
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71.3 MB
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056 Question and Partition.en.srt
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056 Question and Partition.mp4
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057 Impurity.en.srt
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057 Impurity.mp4
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058 Information Gain.en.srt
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058 Information Gain.mp4
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059 Best Slip.en.srt
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059 Best Slip.mp4
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80 MB
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060 Leaf and Decision Node.en.srt
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060 Leaf and Decision Node.mp4
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32.5 MB
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061 How to Build Tree.en.srt
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061 How to Build Tree.mp4
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61.8 MB
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062 Classify.en.srt
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062 Classify.mp4
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70.6 MB
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063 Accuracy and Error.en.srt
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063 Accuracy and Error.mp4
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59.2 MB
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064 Concluding and Remarks.en.srt
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064 Concluding and Remarks.mp4
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32 MB
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065 Free Gift.html
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3.5 KB
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TutsNode.com.txt
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TXT
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102.4 B
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[TGx]Downloaded from torrentgalaxy.to .txt
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TXT
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614.4 B
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52
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