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Udemy - Python Data Science Classification Modeling (11.2024)

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File Name
Size
01 - Introduction/001 Course Introduction.mp4
29 MB
01 - Introduction/001 Course Introduction.srt
3.1 kB
01 - Introduction/002 About This Series.mp4
3.6 MB
01 - Introduction/002 About This Series.srt
1.1 kB
01 - Introduction/003 Course Structure & Outline.mp4
12 MB
01 - Introduction/003 Course Structure & Outline.srt
4.1 kB
01 - Introduction/004 READ ME Important Notes for New Students.html
4.8 kB
01 - Introduction/005 Data-Science-in-Python-Classification.pdf
34 MB
01 - Introduction/005 Data-Science-in-Python-Classification.zip
98 MB
01 - Introduction/005 DOWNLOAD Course Resources.html
549 B
01 - Introduction/006 Introducing the Course Project.mp4
4.5 MB
01 - Introduction/006 Introducing the Course Project.srt
1.5 kB
01 - Introduction/007 Setting Expectations.mp4
10 MB
01 - Introduction/007 Setting Expectations.srt
2.4 kB
01 - Introduction/008 Jupyter Installation & Launch.mp4
24 MB
01 - Introduction/008 Jupyter Installation & Launch.srt
7.0 kB
02 - Intro to Data Science/001 What is Data Science.mp4
5.2 MB
02 - Intro to Data Science/001 What is Data Science.srt
4.7 kB
02 - Intro to Data Science/002 The Data Science Skillset.mp4
3.4 MB
02 - Intro to Data Science/002 The Data Science Skillset.srt
2.9 kB
02 - Intro to Data Science/003 What is Machine Learning.mp4
6.1 MB
02 - Intro to Data Science/003 What is Machine Learning.srt
4.4 kB
02 - Intro to Data Science/004 Common Machine Learning Algorithms.mp4
4.3 MB
02 - Intro to Data Science/004 Common Machine Learning Algorithms.srt
3.3 kB
02 - Intro to Data Science/005 Data Science Workflow.mp4
2.4 MB
02 - Intro to Data Science/005 Data Science Workflow.srt
1.9 kB
02 - Intro to Data Science/006 Data Prep & EDA Steps.mp4
8.4 MB
02 - Intro to Data Science/006 Data Prep & EDA Steps.srt
6.3 kB
02 - Intro to Data Science/007 Modeling Steps.mp4
7.1 MB
02 - Intro to Data Science/007 Modeling Steps.srt
5.0 kB
02 - Intro to Data Science/008 Classification Modeling.mp4
3.6 MB
02 - Intro to Data Science/008 Classification Modeling.srt
1.1 kB
02 - Intro to Data Science/009 Key Takeaways.mp4
2.9 MB
02 - Intro to Data Science/009 Key Takeaways.srt
2.1 kB
03 - Classification 101/001 Classification 101.mp4
12 MB
03 - Classification 101/001 Classification 101.srt
9.4 kB
03 - Classification 101/002 Goals of Classification.mp4
4.3 MB
03 - Classification 101/002 Goals of Classification.srt
3.2 kB
03 - Classification 101/003 Types of Classification.mp4
10 MB
03 - Classification 101/003 Types of Classification.srt
3.9 kB
03 - Classification 101/004 Classification Modeling Workflow.mp4
6.5 MB
03 - Classification 101/004 Classification Modeling Workflow.srt
4.9 kB
03 - Classification 101/005 Key Takeaways.mp4
3.0 MB
03 - Classification 101/005 Key Takeaways.srt
2.2 kB
04 - Data Prep & EDA/001 EDA For Classification.mp4
7.6 MB
04 - Data Prep & EDA/001 EDA For Classification.srt
6.0 kB
04 - Data Prep & EDA/002 Defining a Target.mp4
9.7 MB
04 - Data Prep & EDA/002 Defining a Target.srt
7.6 kB
04 - Data Prep & EDA/003 DEMO Defining a Target.mp4
36 MB
04 - Data Prep & EDA/003 DEMO Defining a Target.srt
9.3 kB
04 - Data Prep & EDA/004 Exploring the Target.mp4
12 MB
04 - Data Prep & EDA/004 Exploring the Target.srt
7.2 kB
04 - Data Prep & EDA/005 Exploring the Features.mp4
4.7 MB
04 - Data Prep & EDA/005 Exploring the Features.srt
3.9 kB
04 - Data Prep & EDA/006 DEMO Exploring the Features.mp4
11 MB
04 - Data Prep & EDA/006 DEMO Exploring the Features.srt
8.6 kB
04 - Data Prep & EDA/007 ASSIGNMENT Exploring the Target & Features.mp4
8.0 MB
04 - Data Prep & EDA/007 ASSIGNMENT Exploring the Target & Features.srt
4.1 kB
04 - Data Prep & EDA/008 SOLUTION Exploring the Target & Features.mp4
22 MB
04 - Data Prep & EDA/008 SOLUTION Exploring the Target & Features.srt
14 kB
04 - Data Prep & EDA/009 Correlation.mp4
10 MB
04 - Data Prep & EDA/009 Correlation.srt
8.6 kB
04 - Data Prep & EDA/010 PRO TIP Correlation Matrix.mp4
5.6 MB
04 - Data Prep & EDA/010 PRO TIP Correlation Matrix.srt
4.0 kB
04 - Data Prep & EDA/011 DEMO Correlation Matrix.mp4
31 MB
04 - Data Prep & EDA/011 DEMO Correlation Matrix.srt
7.9 kB
04 - Data Prep & EDA/012 Feature-Target Relationships.mp4
21 MB
04 - Data Prep & EDA/012 Feature-Target Relationships.srt
12 kB
04 - Data Prep & EDA/013 Feature-Feature Relationships.mp4
5.9 MB
04 - Data Prep & EDA/013 Feature-Feature Relationships.srt
4.3 kB
04 - Data Prep & EDA/014 PRO TIP Pair Plots.mp4
37 MB
04 - Data Prep & EDA/014 PRO TIP Pair Plots.srt
7.4 kB
04 - Data Prep & EDA/015 ASSIGNMENT Exploring Relationships.mp4
5.1 MB
04 - Data Prep & EDA/015 ASSIGNMENT Exploring Relationships.srt
2.8 kB
04 - Data Prep & EDA/016 SOLUTION Exploring Relationships.mp4
26 MB
04 - Data Prep & EDA/016 SOLUTION Exploring Relationships.srt
14 kB
04 - Data Prep & EDA/017 Feature Engineering Overview.mp4
12 MB
04 - Data Prep & EDA/017 Feature Engineering Overview.srt
8.5 kB
04 - Data Prep & EDA/018 Numeric Feature Engineering.mp4
9.8 MB
04 - Data Prep & EDA/018 Numeric Feature Engineering.srt
7.4 kB
04 - Data Prep & EDA/019 Dummy Variables.mp4
11 MB
04 - Data Prep & EDA/019 Dummy Variables.srt
7.7 kB
04 - Data Prep & EDA/020 Binning Categories.mp4
8.1 MB
04 - Data Prep & EDA/020 Binning Categories.srt
5.7 kB
04 - Data Prep & EDA/021 DEMO Feature Engineering.mp4
24 MB
04 - Data Prep & EDA/021 DEMO Feature Engineering.srt
12 kB
04 - Data Prep & EDA/022 Data Splitting.mp4
32 MB
04 - Data Prep & EDA/022 Data Splitting.srt
8.8 kB
04 - Data Prep & EDA/023 Preparing Data for Modeling.mp4
4.3 MB
04 - Data Prep & EDA/023 Preparing Data for Modeling.srt
3.8 kB
04 - Data Prep & EDA/024 ASSIGNMENT Preparing the Data for Modeling.mp4
4.1 MB
04 - Data Prep & EDA/024 ASSIGNMENT Preparing the Data for Modeling.srt
3.7 kB
04 - Data Prep & EDA/025 SOLUTION Prepare the Data for Modeling.mp4
49 MB
04 - Data Prep & EDA/025 SOLUTION Prepare the Data for Modeling.srt
13 kB
04 - Data Prep & EDA/026 Key Takeaways.mp4
2.9 MB
04 - Data Prep & EDA/026 Key Takeaways.srt
2.9 kB
05 - K-Nearest Neighbors/001 K-Nearest Neighbors.mp4
31 MB
05 - K-Nearest Neighbors/001 K-Nearest Neighbors.srt
9.8 kB
05 - K-Nearest Neighbors/002 The KNN Workflow.mp4
21 MB
05 - K-Nearest Neighbors/002 The KNN Workflow.srt
8.3 kB
05 - K-Nearest Neighbors/003 KNN in Python.mp4
9.4 MB
05 - K-Nearest Neighbors/003 KNN in Python.srt
3.5 kB
05 - K-Nearest Neighbors/004 Model Accuracy.mp4
16 MB
05 - K-Nearest Neighbors/004 Model Accuracy.srt
6.5 kB
05 - K-Nearest Neighbors/005 Confusion Matrix.mp4
20 MB
05 - K-Nearest Neighbors/005 Confusion Matrix.srt
7.1 kB
05 - K-Nearest Neighbors/006 DEMO Confusion Matrix.mp4
23 MB
05 - K-Nearest Neighbors/006 DEMO Confusion Matrix.srt
6.5 kB
05 - K-Nearest Neighbors/007 ASSIGNMENT Fitting a Simple KNN Model.mp4
11 MB
05 - K-Nearest Neighbors/007 ASSIGNMENT Fitting a Simple KNN Model.srt
3.0 kB
05 - K-Nearest Neighbors/008 SOLUTION Fitting a Simple KNN Model.mp4
24 MB
05 - K-Nearest Neighbors/008 SOLUTION Fitting a Simple KNN Model.srt
6.5 kB
05 - K-Nearest Neighbors/009 Hyperparameter Tuning.mp4
7.3 MB
05 - K-Nearest Neighbors/009 Hyperparameter Tuning.srt
6.1 kB
05 - K-Nearest Neighbors/010 Overfitting & Validation.mp4
19 MB
05 - K-Nearest Neighbors/010 Overfitting & Validation.srt
12 kB
05 - K-Nearest Neighbors/011 DEMO Hyperparameter Tuning.mp4
16 MB
05 - K-Nearest Neighbors/011 DEMO Hyperparameter Tuning.srt
10 kB
05 - K-Nearest Neighbors/012 Hard vs. Soft Classification.mp4
14 MB
05 - K-Nearest Neighbors/012 Hard vs. Soft Classification.srt
8.1 kB
05 - K-Nearest Neighbors/013 DEMO Probability vs. Event Rate.mp4
34 MB
05 - K-Nearest Neighbors/013 DEMO Probability vs. Event Rate.srt
16 kB
05 - K-Nearest Neighbors/014 ASSIGNMENT Tuning a KNN Model.mp4
3.9 MB
05 - K-Nearest Neighbors/014 ASSIGNMENT Tuning a KNN Model.srt
2.3 kB
05 - K-Nearest Neighbors/015 SOLUTION Tuning a KNN Model.mp4
18 MB
05 - K-Nearest Neighbors/015 SOLUTION Tuning a KNN Model.srt
5.4 kB
05 - K-Nearest Neighbors/016 Pros & Cons of KNN.mp4
11 MB
05 - K-Nearest Neighbors/016 Pros & Cons of KNN.srt
7.0 kB
05 - K-Nearest Neighbors/017 Key Takeaways.mp4
2.4 MB
05 - K-Nearest Neighbors/017 Key Takeaways.srt
2.0 kB
06 - Logistic Regression/001 Logistic Regression.mp4
15 MB
06 - Logistic Regression/001 Logistic Regression.srt
4.8 kB
06 - Logistic Regression/002 Logistic vs. Linear Regression.mp4
12 MB
06 - Logistic Regression/002 Logistic vs. Linear Regression.srt
4.2 kB
06 - Logistic Regression/003 The Logistic Function.mp4
6.6 MB
06 - Logistic Regression/003 The Logistic Function.srt
5.3 kB
06 - Logistic Regression/004 Likelihood.mp4
11 MB
06 - Logistic Regression/004 Likelihood.srt
8.0 kB
06 - Logistic Regression/005 Multiple Logistic Regression.mp4
6.5 MB
06 - Logistic Regression/005 Multiple Logistic Regression.srt
5.3 kB
06 - Logistic Regression/006 The Logistic Regression Workflow.mp4
1.9 MB
06 - Logistic Regression/006 The Logistic Regression Workflow.srt
1.5 kB
06 - Logistic Regression/007 Logistic Regression in Python.mp4
15 MB
06 - Logistic Regression/007 Logistic Regression in Python.srt
7.7 kB
06 - Logistic Regression/008 Interpreting Coefficients.mp4
9.0 MB
06 - Logistic Regression/008 Interpreting Coefficients.srt
5.6 kB
06 - Logistic Regression/009 ASSIGNMENT Logistic Regression.mp4
7.5 MB
06 - Logistic Regression/009 ASSIGNMENT Logistic Regression.srt
2.8 kB
06 - Logistic Regression/010 SOLUTION Logistic Regression.mp4
9.4 MB
06 - Logistic Regression/010 SOLUTION Logistic Regression.srt
5.6 kB
06 - Logistic Regression/011 Feature Engineering & Selection.mp4
11 MB
06 - Logistic Regression/011 Feature Engineering & Selection.srt
6.4 kB
06 - Logistic Regression/012 Regularization.mp4
11 MB
06 - Logistic Regression/012 Regularization.srt
9.2 kB
06 - Logistic Regression/013 Tuning a Regularized Model.mp4
8.9 MB
06 - Logistic Regression/013 Tuning a Regularized Model.srt
6.3 kB
06 - Logistic Regression/014 DEMO Regularized Logistic Regression.mp4
23 MB
06 - Logistic Regression/014 DEMO Regularized Logistic Regression.srt
6.1 kB
06 - Logistic Regression/015 ASSIGNMENT Regularized Logistic Regression.mp4
5.1 MB
06 - Logistic Regression/015 ASSIGNMENT Regularized Logistic Regression.srt
2.0 kB
06 - Logistic Regression/016 SOLUTION Regularized Logistic Regression.mp4
44 MB
06 - Logistic Regression/016 SOLUTION Regularized Logistic Regression.srt
7.2 kB
06 - Logistic Regression/017 Multi-class Logistic Regression.mp4
16 MB
06 - Logistic Regression/017 Multi-class Logistic Regression.srt
11 kB
06 - Logistic Regression/018 ASSIGNMENT Multi-class Logistic Regression.mp4
4.2 MB
06 - Logistic Regression/018 ASSIGNMENT Multi-class Logistic Regression.srt
2.6 kB
06 - Logistic Regression/019 SOLUTION Multi-class Logistic Regression.mp4
9.2 MB
06 - Logistic Regression/019 SOLUTION Multi-class Logistic Regression.srt
6.0 kB
06 - Logistic Regression/020 Pros & Cons of Logistic Regression.mp4
6.6 MB
06 - Logistic Regression/020 Pros & Cons of Logistic Regression.srt
4.3 kB
06 - Logistic Regression/021 Key Takeaways.mp4
3.2 MB
06 - Logistic Regression/021 Key Takeaways.srt
2.9 kB
07 - Classification Metrics/001 Classification Metrics.mp4
5.5 MB
07 - Classification Metrics/001 Classification Metrics.srt
4.3 kB
07 - Classification Metrics/002 Accuracy, Precision & Recall.mp4
13 MB
07 - Classification Metrics/002 Accuracy, Precision & Recall.srt
11 kB
07 - Classification Metrics/003 DEMO Accuracy, Precision & Recall.mp4
19 MB
07 - Classification Metrics/003 DEMO Accuracy, Precision & Recall.srt
8.7 kB
07 - Classification Metrics/004 PRO TIP F1 Score.mp4
9.7 MB
07 - Classification Metrics/004 PRO TIP F1 Score.srt
6.0 kB
07 - Classification Metrics/005 ASSIGNMENT Model Metrics.mp4
3.0 MB
07 - Classification Metrics/005 ASSIGNMENT Model Metrics.srt
1.9 kB
07 - Classification Metrics/006 SOLUTION Model Metrics.mp4
11 MB
07 - Classification Metrics/006 SOLUTION Model Metrics.srt
6.7 kB
07 - Classification Metrics/007 Soft Classification.mp4
14 MB
07 - Classification Metrics/007 Soft Classification.srt
11 kB
07 - Classification Metrics/008 DEMO Leveraging Soft Classification.mp4
8.8 MB
07 - Classification Metrics/008 DEMO Leveraging Soft Classification.srt
5.3 kB
07 - Classification Metrics/009 PRO TIP Precision-Recall & F1 Curves.mp4
8.8 MB
07 - Classification Metrics/009 PRO TIP Precision-Recall & F1 Curves.srt
6.2 kB
07 - Classification Metrics/010 DEMO Plotting Precision-Recall & F1 Curves.mp4
24 MB
07 - Classification Metrics/010 DEMO Plotting Precision-Recall & F1 Curves.srt
6.9 kB
07 - Classification Metrics/011 The ROC Curve & AUC.mp4
7.8 MB
07 - Classification Metrics/011 The ROC Curve & AUC.srt
4.9 kB
07 - Classification Metrics/012 DEMO The ROC Curve & AUC.mp4
10 MB
07 - Classification Metrics/012 DEMO The ROC Curve & AUC.srt
6.1 kB
07 - Classification Metrics/013 Classification Metrics Recap.mp4
8.3 MB
07 - Classification Metrics/013 Classification Metrics Recap.srt
4.0 kB
07 - Classification Metrics/014 ASSIGNMENT Threshold Shifting.mp4
4.1 MB
07 - Classification Metrics/014 ASSIGNMENT Threshold Shifting.srt
2.4 kB
07 - Classification Metrics/015 SOLUTION Threshold Shifting.mp4
17 MB
07 - Classification Metrics/015 SOLUTION Threshold Shifting.srt
9.5 kB
07 - Classification Metrics/016 Multi-class Metrics.mp4
13 MB
07 - Classification Metrics/016 Multi-class Metrics.srt
9.2 kB
07 - Classification Metrics/017 Multi-class Metrics in Python.mp4
3.6 MB
07 - Classification Metrics/017 Multi-class Metrics in Python.srt
2.7 kB
07 - Classification Metrics/018 ASSIGNMENT Multi-class Metrics.mp4
2.9 MB
07 - Classification Metrics/018 ASSIGNMENT Multi-class Metrics.srt
1.7 kB
07 - Classification Metrics/019 SOLUTION Multi-class Metrics.mp4
9.6 MB
07 - Classification Metrics/019 SOLUTION Multi-class Metrics.srt
4.6 kB
07 - Classification Metrics/020 Key Takeaways.mp4
3.7 MB
07 - Classification Metrics/020 Key Takeaways.srt
2.5 kB
08 - Imbalanced Data/001 Imbalanced Data.mp4
9.5 MB
08 - Imbalanced Data/001 Imbalanced Data.srt
6.5 kB
08 - Imbalanced Data/002 Managing Imbalanced Data.mp4
21 MB
08 - Imbalanced Data/002 Managing Imbalanced Data.srt
6.8 kB
08 - Imbalanced Data/003 Threshold Shifting.mp4
5.3 MB
08 - Imbalanced Data/003 Threshold Shifting.srt
3.8 kB
08 - Imbalanced Data/004 Sampling Strategies.mp4
4.3 MB
08 - Imbalanced Data/004 Sampling Strategies.srt
3.1 kB
08 - Imbalanced Data/005 Oversampling.mp4
3.3 MB
08 - Imbalanced Data/005 Oversampling.srt
2.5 kB
08 - Imbalanced Data/006 Oversampling in Python.mp4
6.5 MB
08 - Imbalanced Data/006 Oversampling in Python.srt
4.5 kB
08 - Imbalanced Data/007 DEMO Oversampling.mp4
12 MB
08 - Imbalanced Data/007 DEMO Oversampling.srt
7.5 kB
08 - Imbalanced Data/008 SMOTE.mp4
2.5 MB
08 - Imbalanced Data/008 SMOTE.srt
2.1 kB
08 - Imbalanced Data/009 SMOTE in Python.mp4
6.1 MB
08 - Imbalanced Data/009 SMOTE in Python.srt
4.2 kB
08 - Imbalanced Data/010 Undersampling.mp4
4.7 MB
08 - Imbalanced Data/010 Undersampling.srt
3.7 kB
08 - Imbalanced Data/011 Undersampling in Python.mp4
16 MB
08 - Imbalanced Data/011 Undersampling in Python.srt
8.5 kB
08 - Imbalanced Data/012 ASSIGNMENT Sampling Methods.mp4
13 MB
08 - Imbalanced Data/012 ASSIGNMENT Sampling Methods.srt
4.0 kB
08 - Imbalanced Data/013 SOLUTION Sampling Methods.mp4
18 MB
08 - Imbalanced Data/013 SOLUTION Sampling Methods.srt
8.5 kB
08 - Imbalanced Data/014 Changing Class Weights.mp4
6.9 MB
08 - Imbalanced Data/014 Changing Class Weights.srt
4.4 kB
08 - Imbalanced Data/015 DEMO Changing Class Weights.mp4
9.2 MB
08 - Imbalanced Data/015 DEMO Changing Class Weights.srt
4.6 kB
08 - Imbalanced Data/016 ASSIGNMENT Changing Class Weights.mp4
2.3 MB
08 - Imbalanced Data/016 ASSIGNMENT Changing Class Weights.srt
2.0 kB
08 - Imbalanced Data/017 SOLUTION Changing Class Weights.mp4
10 MB
08 - Imbalanced Data/017 SOLUTION Changing Class Weights.srt
5.6 kB
08 - Imbalanced Data/018 Imbalanced Data Recap.mp4
3.4 MB
08 - Imbalanced Data/018 Imbalanced Data Recap.srt
3.4 kB
08 - Imbalanced Data/019 Key Takeaways.mp4
2.2 MB
08 - Imbalanced Data/019 Key Takeaways.srt
2.0 kB
09 - Mid-Course Project/001 Project Brief.mp4
14 MB
09 - Mid-Course Project/001 Project Brief.srt
8.3 kB
09 - Mid-Course Project/002 Solution Walkthrough.mp4
54 MB
09 - Mid-Course Project/002 Solution Walkthrough.srt
19 kB
10 - Decision Trees/001 Decision Trees.mp4
7.5 MB
10 - Decision Trees/001 Decision Trees.srt
6.4 kB
10 - Decision Trees/002 Entropy.mp4
12 MB
10 - Decision Trees/002 Entropy.srt
9.3 kB
10 - Decision Trees/003 Decision Tree Predictions.mp4
9.4 MB
10 - Decision Trees/003 Decision Tree Predictions.srt
7.2 kB
10 - Decision Trees/004 Decision Trees in Python.mp4
6.7 MB
10 - Decision Trees/004 Decision Trees in Python.srt
5.1 kB
10 - Decision Trees/005 DEMO Decision Trees.mp4
32 MB
10 - Decision Trees/005 DEMO Decision Trees.srt
6.2 kB
10 - Decision Trees/006 Feature Importance.mp4
15 MB
10 - Decision Trees/006 Feature Importance.srt
8.5 kB
10 - Decision Trees/007 ASSIGNMENT Decision Trees.mp4
3.4 MB
10 - Decision Trees/007 ASSIGNMENT Decision Trees.srt
2.5 kB
10 - Decision Trees/008 SOLUTION Decision Trees.mp4
30 MB
10 - Decision Trees/008 SOLUTION Decision Trees.srt
10 kB
10 - Decision Trees/009 Hyperparameter Tuning for Decision Trees.mp4
26 MB
10 - Decision Trees/009 Hyperparameter Tuning for Decision Trees.srt
7.5 kB
10 - Decision Trees/010 DEMO Hyperparameter Tuning.mp4
15 MB
10 - Decision Trees/010 DEMO Hyperparameter Tuning.srt
4.4 kB
10 - Decision Trees/011 ASSIGNMENT Tuned Decision Tree.mp4
2.0 MB
10 - Decision Trees/011 ASSIGNMENT Tuned Decision Tree.srt
1.6 kB
10 - Decision Trees/012 SOLUTION Tuned Decision Tree.mp4
15 MB
10 - Decision Trees/012 SOLUTION Tuned Decision Tree.srt
6.9 kB
10 - Decision Trees/013 Pros & Cons of Decision Trees.mp4
6.6 MB
10 - Decision Trees/013 Pros & Cons of Decision Trees.srt
4.4 kB
10 - Decision Trees/014 Key Takeaways.mp4
2.4 MB
10 - Decision Trees/014 Key Takeaways.srt
1.7 kB
11 - Ensemble Models/001 Ensemble Models.mp4
8.7 MB
11 - Ensemble Models/001 Ensemble Models.srt
6.5 kB
11 - Ensemble Models/002 Simple Ensemble Models.mp4
5.2 MB
11 - Ensemble Models/002 Simple Ensemble Models.srt
3.7 kB
11 - Ensemble Models/003 DEMO Simple Ensemble Models.mp4
14 MB
11 - Ensemble Models/003 DEMO Simple Ensemble Models.srt
5.7 kB
11 - Ensemble Models/004 ASSIGNMENT Simple Ensemble Models.mp4
4.4 MB
11 - Ensemble Models/004 ASSIGNMENT Simple Ensemble Models.srt
2.3 kB
11 - Ensemble Models/005 SOLUTION Simple Ensemble Models.mp4
11 MB
11 - Ensemble Models/005 SOLUTION Simple Ensemble Models.srt
5.2 kB
11 - Ensemble Models/006 Random Forests.mp4
6.3 MB
11 - Ensemble Models/006 Random Forests.srt
2.0 kB
11 - Ensemble Models/007 Fitting Random Forests in Python.mp4
11 MB
11 - Ensemble Models/007 Fitting Random Forests in Python.srt
6.8 kB
11 - Ensemble Models/008 Hyperparameter Tuning for Random Forests.mp4
14 MB
11 - Ensemble Models/008 Hyperparameter Tuning for Random Forests.srt
7.9 kB
11 - Ensemble Models/009 PRO TIP Random Search.mp4
26 MB
11 - Ensemble Models/009 PRO TIP Random Search.srt
8.6 kB
11 - Ensemble Models/010 Pros & Cons of Random Forests.mp4
4.1 MB
11 - Ensemble Models/011 ASSIGNMENT Random Forests.mp4
2.3 MB
11 - Ensemble Models/011 ASSIGNMENT Random Forests.srt
2.1 kB
11 - Ensemble Models/012 SOLUTION Random Forests.mp4
44 MB
11 - Ensemble Models/012 SOLUTION Random Forests.srt
8.8 kB
11 - Ensemble Models/013 Gradient Boosting.mp4
9.6 MB
11 - Ensemble Models/013 Gradient Boosting.srt
3.8 kB
11 - Ensemble Models/014 Gradient Boosting in Python.mp4
6.2 MB
11 - Ensemble Models/014 Gradient Boosting in Python.srt
3.6 kB
11 - Ensemble Models/015 Hyperparameter Tuning for Gradient Boosting.mp4
12 MB
11 - Ensemble Models/015 Hyperparameter Tuning for Gradient Boosting.srt
8.1 kB
11 - Ensemble Models/016 DEMO Hyperparameter Tuning for Gradient Boosting.mp4
23 MB
11 - Ensemble Models/016 DEMO Hyperparameter Tuning for Gradient Boosting.srt
5.6 kB
11 - Ensemble Models/017 Pros & Cons of Gradient Boosting.mp4
4.2 MB
11 - Ensemble Models/017 Pros & Cons of Gradient Boosting.srt
2.9 kB
11 - Ensemble Models/018 ASSIGNMENT Gradient Boosting.mp4
2.3 MB
11 - Ensemble Models/018 ASSIGNMENT Gradient Boosting.srt
2.5 kB
11 - Ensemble Models/019 SOLUTION Gradient Boosting.mp4
15 MB
11 - Ensemble Models/019 SOLUTION Gradient Boosting.srt
6.8 kB
11 - Ensemble Models/020 PRO TIP SHAP Values.mp4
17 MB
11 - Ensemble Models/020 PRO TIP SHAP Values.srt
10 kB
11 - Ensemble Models/021 DEMO SHAP Values.mp4
15 MB
11 - Ensemble Models/021 DEMO SHAP Values.srt
8.4 kB
11 - Ensemble Models/022 Key Takeaways.mp4
2.4 MB
11 - Ensemble Models/022 Key Takeaways.srt
2.0 kB
12 - Classification Summary/001 Recap Classification Models & Workflow.mp4
7.3 MB
12 - Classification Summary/001 Recap Classification Models & Workflow.srt
4.7 kB
12 - Classification Summary/002 Pros & Cons of Classification Models.mp4
8.4 MB
12 - Classification Summary/002 Pros & Cons of Classification Models.srt
5.1 kB
12 - Classification Summary/003 DEMO Production Pipeline & Deployment.mp4
56 MB
12 - Classification Summary/003 DEMO Production Pipeline & Deployment.srt
19 kB
12 - Classification Summary/004 Looking Ahead Unsupervised Learning.mp4
5.5 MB
12 - Classification Summary/004 Looking Ahead Unsupervised Learning.srt
1.7 kB
13 - Final Project/001 Project Brief.mp4
14 MB
13 - Final Project/001 Project Brief.srt
4.6 kB
13 - Final Project/002 Solution Walkthrough.mp4
39 MB
13 - Final Project/002 Solution Walkthrough.srt
11 kB
14 - Next Steps/001 BONUS LESSON.html
12 kB