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Machine Learning - Random Forest with Python from Scratch
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[TutsNode.com] - Machine Learning Random Forest with Python from Scratch (Size: 3.12 GB) (Files: 192)
[TutsNode.com] - Machine Learning Random Forest with Python from Scratch
04 Random Forest Step-by-step
051 Quick Implementation of Random Forest Model.mp4
051 Quick Implementation of Random Forest Model.en.srt
045 Reading and Manipulating Dataset.mp4
050 Categorical to Numeric Conversion.en.srt
046 Using Matplotlib for Data Visualization (1).en.srt
053 Recursion.en.srt
043 Using Pandas for Random Forest (1).en.srt
055 Importing Data, Helper Functions.en.srt
045 Reading and Manipulating Dataset.en.srt
042 Using NumPy for Random Forest.en.srt
048 Dealing with Missing Values.en.srt
059 Best Slip.en.srt
056 Question and Partition.en.srt
039 How Decision Trees and Random Forest Work.en.srt
054 Structure.en.srt
063 Accuracy and Error.en.srt
062 Classify.en.srt
049 Outliers Removal.en.srt
061 How to Build Tree.en.srt
058 Information Gain.en.srt
040 Pros and Cons of Random Forest.en.srt
057 Impurity.en.srt
038 Introduction and Motivation.en.srt
041 Introduction to the final Project.en.srt
047 Using Matplotlib for Data Visualization (2).en.srt
052 Feature Importance.en.srt
044 Using Pandas for Random Forest (2).en.srt
060 Leaf and Decision Node.en.srt
050 Categorical to Numeric Conversion.mp4
059 Best Slip.mp4
055 Importing Data, Helper Functions.mp4
046 Using Matplotlib for Data Visualization (1).mp4
062 Classify.mp4
048 Dealing with Missing Values.mp4
043 Using Pandas for Random Forest (1).mp4
041 Introduction to the final Project.mp4
038 Introduction and Motivation.mp4
061 How to Build Tree.mp4
042 Using NumPy for Random Forest.mp4
049 Outliers Removal.mp4
063 Accuracy and Error.mp4
056 Question and Partition.mp4
039 How Decision Trees and Random Forest Work.mp4
053 Recursion.mp4
058 Information Gain.mp4
054 Structure.mp4
052 Feature Importance.mp4
057 Impurity.mp4
040 Pros and Cons of Random Forest.mp4
060 Leaf and Decision Node.mp4
047 Using Matplotlib for Data Visualization (2).mp4
044 Using Pandas for Random Forest (2).mp4
03 Introduction to Machine learning
028 Labels and Features.en.srt
026 Kids Vs Computer Learning.en.srt
030 Model and Training.en.srt
031 Overfitting and Underfitting.en.srt
025 Let's Introduce Machine Learning.en.srt
033 Formates of Data.en.srt
035 Classsification Vs Regression.en.srt
037 Recap, Flow of Machine Learning Project.en.srt
032 Accuracy and Error.en.srt
029 Outliars.en.srt
034 Types of Learning.en.srt
036 Clustering.en.srt
027 Dataset.en.srt
028 Labels and Features.mp4
026 Kids Vs Computer Learning.mp4
031 Overfitting and Underfitting.mp4
030 Model and Training.mp4
035 Classsification Vs Regression.mp4
025 Let's Introduce Machine Learning.mp4
033 Formates of Data.mp4
032 Accuracy and Error.mp4
036 Clustering.mp4
034 Types of Learning.mp4
029 Outliars.mp4
037 Recap, Flow of Machine Learning Project.mp4
027 Dataset.mp4
02 Introduction to Python
023 Boolian and Value returning Function.en.srt
010 Strings.en.srt
024 Calculator Project.en.srt
012 Lists.en.srt
017 Decision Making (if,else,elif).en.srt
016 Logical Operators, User Input, Game.en.srt
020 For Loop.en.srt
013 Dictionaries.en.srt
009 Numbers.en.srt
014 Sets.en.srt
007 Hello World.en.srt
015 Comparison Operators.en.srt
022 Simple Functions.en.srt
018 Decision Making (nested if).en.srt
021 While Loop.en.srt
011 Tuples.en.srt
019 Better Coding Practice, Completing the Game.en.srt
008 Introduction to data types.en.srt
024 Calculator Project.mp4
023 Boolian and Value returning Function.mp4
010 Strings.mp4
020 For Loop.mp4
012 Lists.mp4
013 Dictionaries.mp4
014 Sets.mp4
016 Logical Operators, User Input, Game.mp4
017 Decision Making (if,else,elif).mp4
018 Decision Making (nested if).mp4
021 While Loop.mp4
019 Better Coding Practice, Completing the Game.mp4
011 Tuples.mp4
009 Numbers.mp4
022 Simple Functions.mp4
007 Hello World.mp4
015 Comparison Operators.mp4
008 Introduction to data types.mp4
01 Introduction to the Course
005 Please give us some feedback and Review.en.srt
006 Link to the Python codes for the projects and the data.html
002 Motivation for this Course.en.srt
003 Past, Present and future of Machine Learning.en.srt
004 Course Overview.en.srt
001 Introduction and Instructor.en.srt
003 Past, Present and future of Machine Learning.mp4
002 Motivation for this Course.mp4
005 Please give us some feedback and Review.mp4
004 Course Overview.mp4
001 Introduction and Instructor.mp4
05 Conclusion and Bonus Lectures
064 Concluding and Remarks.en.srt
065 Free Gift.html
064 Concluding and Remarks.mp4
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