Machine Learning Random Forest with Python from Scratch | 86C249C26587BD38D9A8C874946F845B4AF38874

Machine Learning Random Forest with Python from Scratch

Name	Machine Learning - Random Forest with Python from Scratch	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.4 GB
Total Files	192
Last Seen	2025-07-20 23:45
Hash	86C249C26587BD38D9A8C874946F845B4AF38874

/.../04 Random Forest Step-by-step/
051 Quick Implementation of Random Forest Model.mp4	109.0 MB
051 Quick Implementation of Random Forest Model.en.srt	16.4 KB
045 Reading and Manipulating Dataset.mp4	105.1 MB
050 Categorical to Numeric Conversion.en.srt	17.4 KB
046 Using Matplotlib for Data Visualization (1).en.srt	14.7 KB
053 Recursion.en.srt	14.2 KB
043 Using Pandas for Random Forest (1).en.srt	13.9 KB
055 Importing Data, Helper Functions.en.srt	13.5 KB
045 Reading and Manipulating Dataset.en.srt	13.2 KB
042 Using NumPy for Random Forest.en.srt	13.1 KB
048 Dealing with Missing Values.en.srt	13.1 KB
059 Best Slip.en.srt	11.9 KB
056 Question and Partition.en.srt	11.0 KB
039 How Decision Trees and Random Forest Work.en.srt	10.6 KB
054 Structure.en.srt	10.5 KB
063 Accuracy and Error.en.srt	10.3 KB
062 Classify.en.srt	10.1 KB
049 Outliers Removal.en.srt	9.9 KB
061 How to Build Tree.en.srt	9.5 KB
058 Information Gain.en.srt	9.2 KB
040 Pros and Cons of Random Forest.en.srt	8.7 KB
057 Impurity.en.srt	8.4 KB
038 Introduction and Motivation.en.srt	7.5 KB
041 Introduction to the final Project.en.srt	7.5 KB
047 Using Matplotlib for Data Visualization (2).en.srt	6.5 KB
052 Feature Importance.en.srt	5.8 KB
044 Using Pandas for Random Forest (2).en.srt	5.2 KB
060 Leaf and Decision Node.en.srt	5.0 KB
050 Categorical to Numeric Conversion.mp4	102.5 MB
059 Best Slip.mp4	83.9 MB
055 Importing Data, Helper Functions.mp4	74.8 MB
046 Using Matplotlib for Data Visualization (1).mp4	74.7 MB
062 Classify.mp4	74.0 MB
048 Dealing with Missing Values.mp4	72.3 MB
043 Using Pandas for Random Forest (1).mp4	70.9 MB
041 Introduction to the final Project.mp4	68.6 MB
038 Introduction and Motivation.mp4	68.6 MB
061 How to Build Tree.mp4	64.8 MB
042 Using NumPy for Random Forest.mp4	64.8 MB
049 Outliers Removal.mp4	63.6 MB
063 Accuracy and Error.mp4	62.1 MB
056 Question and Partition.mp4	61.6 MB
039 How Decision Trees and Random Forest Work.mp4	52.2 MB
053 Recursion.mp4	51.1 MB
058 Information Gain.mp4	50.2 MB
054 Structure.mp4	42.5 MB
052 Feature Importance.mp4	38.6 MB
057 Impurity.mp4	38.5 MB
040 Pros and Cons of Random Forest.mp4	37.5 MB
060 Leaf and Decision Node.mp4	34.1 MB
047 Using Matplotlib for Data Visualization (2).mp4	33.1 MB
044 Using Pandas for Random Forest (2).mp4	30.9 MB
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TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
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/.../03 Introduction to Machine learning/
028 Labels and Features.en.srt	16.3 KB
026 Kids Vs Computer Learning.en.srt	12.7 KB
030 Model and Training.en.srt	10.3 KB
031 Overfitting and Underfitting.en.srt	10.2 KB
025 Let's Introduce Machine Learning.en.srt	9.5 KB
033 Formates of Data.en.srt	8.5 KB
035 Classsification Vs Regression.en.srt	7.8 KB
037 Recap, Flow of Machine Learning Project.en.srt	7.7 KB
032 Accuracy and Error.en.srt	6.5 KB
029 Outliars.en.srt	6.4 KB
034 Types of Learning.en.srt	6.3 KB
036 Clustering.en.srt	6.2 KB
027 Dataset.en.srt	5.2 KB
028 Labels and Features.mp4	91.4 MB
026 Kids Vs Computer Learning.mp4	61.1 MB
031 Overfitting and Underfitting.mp4	50.0 MB
030 Model and Training.mp4	45.1 MB
035 Classsification Vs Regression.mp4	39.7 MB
025 Let's Introduce Machine Learning.mp4	38.2 MB
033 Formates of Data.mp4	37.6 MB
032 Accuracy and Error.mp4	34.4 MB
036 Clustering.mp4	34.0 MB
034 Types of Learning.mp4	33.8 MB
029 Outliars.mp4	30.9 MB
037 Recap, Flow of Machine Learning Project.mp4	28.3 MB
027 Dataset.mp4	27.6 MB
/.../02 Introduction to Python/
023 Boolian and Value returning Function.en.srt	14.8 KB
010 Strings.en.srt	14.7 KB
024 Calculator Project.en.srt	14.3 KB
012 Lists.en.srt	11.9 KB
017 Decision Making (if,else,elif).en.srt	11.5 KB
016 Logical Operators, User Input, Game.en.srt	11.5 KB
020 For Loop.en.srt	11.3 KB
013 Dictionaries.en.srt	11.4 KB
009 Numbers.en.srt	10.0 KB
014 Sets.en.srt	9.5 KB
007 Hello World.en.srt	9.1 KB
015 Comparison Operators.en.srt	8.9 KB
022 Simple Functions.en.srt	8.7 KB
018 Decision Making (nested if).en.srt	8.7 KB
021 While Loop.en.srt	8.5 KB
011 Tuples.en.srt	8.4 KB
019 Better Coding Practice, Completing the Game.en.srt	6.9 KB
008 Introduction to data types.en.srt	5.4 KB
024 Calculator Project.mp4	90.0 MB
023 Boolian and Value returning Function.mp4	76.2 MB
010 Strings.mp4	69.3 MB
020 For Loop.mp4	60.8 MB
012 Lists.mp4	60.8 MB
013 Dictionaries.mp4	57.2 MB
014 Sets.mp4	53.1 MB
016 Logical Operators, User Input, Game.mp4	50.3 MB
017 Decision Making (if,else,elif).mp4	47.5 MB
018 Decision Making (nested if).mp4	46.9 MB
021 While Loop.mp4	45.8 MB
019 Better Coding Practice, Completing the Game.mp4	44.4 MB
011 Tuples.mp4	43.5 MB
009 Numbers.mp4	41.5 MB
022 Simple Functions.mp4	41.4 MB
007 Hello World.mp4	39.4 MB
015 Comparison Operators.mp4	38.7 MB
008 Introduction to data types.mp4	33.5 MB
/.../01 Introduction to the Course/
005 Please give us some feedback and Review.en.srt	2.6 KB
006 Link to the Python codes for the projects and the data.html	2.1 KB
002 Motivation for this Course.en.srt	9.5 KB
003 Past, Present and future of Machine Learning.en.srt	9.1 KB
004 Course Overview.en.srt	7.6 KB
001 Introduction and Instructor.en.srt	3.9 KB
003 Past, Present and future of Machine Learning.mp4	49.2 MB
002 Motivation for this Course.mp4	45.2 MB
005 Please give us some feedback and Review.mp4	30.2 MB
004 Course Overview.mp4	26.0 MB
001 Introduction and Instructor.mp4	20.1 MB
/.../05 Conclusion and Bonus Lectures/
064 Concluding and Remarks.en.srt	8.4 KB
065 Free Gift.html	3.5 KB
064 Concluding and Remarks.mp4	33.5 MB
Total files 192