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文档列表
6 - Support Vector Machines/58 - Kernels Intuition.mp4
80.8 MB
6 - Support Vector Machines/64 - Crossvalidation.mp4
80.2 MB
1 - Introduction/1 - Introduction.mp4
73.3 MB
5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4
72.5 MB
3 - Naïve Bayes/10 - The HamorSpam Example.mp4
70.1 MB
3 - Naïve Bayes/9 - Bayes Theorem.mp4
69.1 MB
6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4
65.4 MB
5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4
62.5 MB
6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4
62.0 MB
4 - KNearest Neighbors/37 - Pros and Cons.mp4
57.9 MB
5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4
55.8 MB
7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4
55.5 MB
5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4
55.4 MB
4 - KNearest Neighbors/26 - Random Dataset Classification.mp4
53.1 MB
6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4
52.3 MB
5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4
49.6 MB
4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4
49.0 MB
7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4
48.9 MB
4 - KNearest Neighbors/28 - Random Dataset Decision Regions.mp4
48.2 MB
7 - Ridge and Lasso Regression/76 - The Hitters Dataset Preprocessing and Preparation.mp4
48.2 MB
3 - Naïve Bayes/14 - The YouTube Dataset Preprocessing.mp4
46.1 MB
4 - KNearest Neighbors/33 - Theory with a Practical Example.mp4
45.9 MB
3 - Naïve Bayes/6 - Motivation.mp4
45.5 MB
7 - Ridge and Lasso Regression/71 - Ridge Regression Basics.mp4
45.3 MB
5 - Decision Trees and Random Forests/44 - Practical Example Plotting the Tree.mp4
45.1 MB
3 - Naïve Bayes/20 - The YouTube Dataset Changing the Priors.mp4
42.3 MB
5 - Decision Trees and Random Forests/47 - Tree Pruning Dealing with Overfitting.mp4
41.3 MB
3 - Naïve Bayes/19 - The YouTube Dataset Accuracy Precision Recall and the F1 score.mp4
39.6 MB
3 - Naïve Bayes/13 - CountVectorizer.mp4
38.8 MB
7 - Ridge and Lasso Regression/77 - Exploratory Data Analysis.mp4
38.8 MB
6 - Support Vector Machines/66 - Hyperparameter tuning using GridSearchCV.mp4
36.9 MB
5 - Decision Trees and Random Forests/38 - What is a Tree in Computer Science.mp4
36.5 MB
7 - Ridge and Lasso Regression/75 - Lasso Regression vs Ridge Regression.mp4
35.5 MB
3 - Naïve Bayes/12 - The YouTube Dataset Creating the Data Frame.mp4
35.4 MB
3 - Naïve Bayes/7 - Bayes Thought Experiment.mp4
35.3 MB
4 - KNearest Neighbors/35 - KNN vs Linear Regression A Nonlinear Problem.mp4
34.7 MB
5 - Decision Trees and Random Forests/43 - Practical Example Creating a Decision Tree.mp4
34.4 MB
4 - KNearest Neighbors/29 - Random Dataset Choosing the Best Kvalue.mp4
34.2 MB
5 - Decision Trees and Random Forests/48 - Random Forest as Ensemble Learning.mp4
33.5 MB
5 - Decision Trees and Random Forests/39 - The Concept of Decision Trees.mp4
33.2 MB
6 - Support Vector Machines/59 - Intro to the practical case.mp4
33.1 MB
7 - Ridge and Lasso Regression/80 - Performing Ridge Regression with Crossvalidation.mp4
32.5 MB
7 - Ridge and Lasso Regression/82 - Comparing the Results.mp4
32.5 MB
7 - Ridge and Lasso Regression/81 - Performing Lasso Regression with Crossvalidation.mp4
32.5 MB
7 - Ridge and Lasso Regression/79 - Crossvalidation for Choosing a Tuning Parameter.mp4
32.0 MB
5 - Decision Trees and Random Forests/49 - Bootstrapping.mp4
31.4 MB
2 - Setting up the Environment/2 - Installing Anaconda.mp4
31.0 MB
7 - Ridge and Lasso Regression/68 - Regression Analysis Overview.mp4
30.8 MB
6 - Support Vector Machines/63 - Analyzing the results– Confusion Matrix Precision and Recall.mp4
29.6 MB
4 - KNearest Neighbors/25 - Random Dataset Visualizing the Dataset.mp4
29.6 MB
7 - Ridge and Lasso Regression/69 - Overfitting and Multicollinearity.mp4
29.5 MB
4 - KNearest Neighbors/30 - Random Dataset Grid Search.mp4
29.2 MB
4 - KNearest Neighbors/23 - Math Prerequisites Distance Metrics.mp4
29.1 MB
5 - Decision Trees and Random Forests/53 - Training the Decision Tree.mp4
28.7 MB
5 - Decision Trees and Random Forests/54 - Training the Random Forest.mp4
28.5 MB
4 - KNearest Neighbors/27 - Random Dataset How to Break a Tie.mp4
28.1 MB
5 - Decision Trees and Random Forests/46 - Decision Tree Metrics Information Gain.mp4
27.6 MB
7 - Ridge and Lasso Regression/70 - Introduction to Regularization.mp4
27.2 MB
5 - Decision Trees and Random Forests/50 - From Bootstrapping to Random Forests.mp4
27.2 MB
4 - KNearest Neighbors/22 - Motivation.mp4
25.6 MB
3 - Naïve Bayes/16 - The YouTube Dataset Classification.mp4
24.8 MB
2 - Setting up the Environment/5 - Installing the relevant packages.mp4
23.9 MB
5 - Decision Trees and Random Forests/42 - Practical Example The Iris Dataset.mp4
22.9 MB
7 - Ridge and Lasso Regression/74 - Lasso Regression Basics.mp4
22.7 MB
7 - Ridge and Lasso Regression/83 - Replacing the Missing Values in the DataFrame.mp4
22.2 MB
4 - KNearest Neighbors/31 - Random Dataset Model Performance.mp4
22.2 MB
7 - Ridge and Lasso Regression/73 - Regularization in More Complicated Scenarios.mp4
22.0 MB
2 - Setting up the Environment/4 - Jupyter Dashboard Part 2.mp4
22.0 MB
6 - Support Vector Machines/65 - Choosing the kernels and C values for crossvalidation.mp4
19.7 MB
3 - Naïve Bayes/18 - The YouTube Dataset Confusion Matrix.mp4
18.7 MB
4 - KNearest Neighbors/24 - Random Dataset Generating the Dataset.mp4
17.7 MB
6 - Support Vector Machines/61 - Splitting the data into train and test and rescaling.mp4
17.2 MB
6 - Support Vector Machines/60 - Preprocessing the data.mp4
15.8 MB
3 - Naïve Bayes/21 - 365-ML-infographic.pdf
14.4 MB
3 - Naïve Bayes/6 - 365-ML-infographic.pdf
14.4 MB
4 - KNearest Neighbors/22 - 365-ML-infographic.pdf
14.4 MB
4 - KNearest Neighbors/37 - 365-ML-infographic.pdf
14.4 MB
6 - Support Vector Machines/55 - 365-ML-infographic.pdf
14.4 MB
7 - Ridge and Lasso Regression/68 - 365-ML-infographic.pdf
14.4 MB
6 - Support Vector Machines/62 - Implementing a linear SVM.mp4
13.3 MB
2 - Setting up the Environment/3 - Jupyter Dashboard Part 1.mp4
10.7 MB
5 - Decision Trees and Random Forests/38 - Course-Notes-Decision-Trees-and-Random-Forests.pdf
1.0 MB
5 - Decision Trees and Random Forests/54 - Course-Notes-Decision-Trees-and-Random-Forests.pdf
1.0 MB
5 - Decision Trees and Random Forests/52 - Census-Income-Dataset.zip
627.0 kB
3 - Naïve Bayes/21 - Machine-Learning-with-Naive-Bayes-Course-Notes-365-Data-Science.pdf
531.0 kB
3 - Naïve Bayes/6 - Machine-Learning-with-Naive-Bayes-Course-Notes-365-Data-Science.pdf
531.0 kB
4 - KNearest Neighbors/22 - Machine-Learning-with-K-Nearest-Neighbors-Course-Notes-365-Data-Science.pdf
459.2 kB
4 - KNearest Neighbors/37 - Machine-Learning-with-K-Nearest-Neighbors-Course-Notes-365-Data-Science.pdf
459.2 kB
5 - Decision Trees and Random Forests/53 - 5.16.Census-Data-Decision-Tree.ipynb
455.4 kB
6 - Support Vector Machines/59 - mushrooms-full-dataset.csv
365.9 kB
6 - Support Vector Machines/67 - Social-Purchase-SVMs-Assignment-3.ipynb
324.1 kB
6 - Support Vector Machines/67 - Social-Purchase-SVMs-Assignment-3-Solution.ipynb
323.9 kB
4 - KNearest Neighbors/36 - KNeighborsRegressor-Exercise.zip
297.7 kB
5 - Decision Trees and Random Forests/44 - 5.7.Full-Iris-code.ipynb
252.2 kB
3 - Naïve Bayes/12 - Notebooks-and-Dataset.zip
172.9 kB
3 - Naïve Bayes/15 - youtube-dataset.zip
162.6 kB
3 - Naïve Bayes/17 - youtube-dataset.zip
162.6 kB
5 - Decision Trees and Random Forests/54 - 5.17.Census-Data-Random-Forest.ipynb
77.5 kB
5 - Decision Trees and Random Forests/52 - 5.15.Census-Data-Preprocessing.ipynb
71.5 kB
7 - Ridge and Lasso Regression/83 - Exercise-Solutions.ipynb
48.0 kB
6 - Support Vector Machines/65 - 3.8-Support-Vector-Machines-Classification-complete.ipynb
35.7 kB
7 - Ridge and Lasso Regression/76 - Hitters.csv
20.9 kB
6 - Support Vector Machines/67 - social.csv
13.3 kB
5 - Decision Trees and Random Forests/51 - 5.14.Random-Forest-Code-Glass-Dataset.ipynb
13.0 kB
7 - Ridge and Lasso Regression/76 - Multiple-Linear-Regression-Ridge-Lasso-Hitters.ipynb
12.0 kB
7 - Ridge and Lasso Regression/76 - Hitters-Data-Legend.xlsx
11.7 kB
5 - Decision Trees and Random Forests/43 - 5.6.Creating-a-Decision-Tree.ipynb
10.6 kB
4 - KNearest Neighbors/24 - KNeighborsClassifier-Notebooks.zip
9.8 kB
3 - Naïve Bayes/17 - Exercise-2.ipynb
8.2 kB
4 - KNearest Neighbors/32 - KNeighborsClassifier-Exercise.zip
8.1 kB
3 - Naïve Bayes/17 - Exercise-2-solution.ipynb
7.9 kB
3 - Naïve Bayes/15 - Exercise-1-solution.ipynb
7.8 kB
3 - Naïve Bayes/21 - Exercise-3-solution.ipynb
7.4 kB
3 - Naïve Bayes/15 - Exercise-1.ipynb
7.2 kB
6 - Support Vector Machines/60 - 3.1-Support-Vector-Machines-Classification-Notebook.ipynb
5.9 kB
4 - KNearest Neighbors/35 - NonLinearProblem-Notebooks.zip
5.9 kB
7 - Ridge and Lasso Regression/83 - Exercise.ipynb
5.9 kB
4 - KNearest Neighbors/34 - LinearProblem-Notebooks.zip
5.5 kB
4 - KNearest Neighbors/33 - KNeighborsRegressor-Notebooks.zip
4.8 kB
3 - Naïve Bayes/21 - Exercise-3.ipynb
3.9 kB
5 - Decision Trees and Random Forests/51 - Glass-dataset.zip
3.7 kB
6 - Support Vector Machines/67 - Support Vector Machines Assignment.html
509 Bytes
3 - Naïve Bayes/How can you help GFC.txt
286 Bytes
6 - Support Vector Machines/How can you help GFC.txt
286 Bytes
How can you help GFC.txt
286 Bytes
3 - Naïve Bayes/11 - The HamorSpam Example Assignment.html
184 Bytes
3 - Naïve Bayes/Download Paid Udemy Courses For Free.url
116 Bytes
6 - Support Vector Machines/Download Paid Udemy Courses For Free.url
116 Bytes
Download Paid Udemy Courses For Free.url
116 Bytes
3 - Naïve Bayes/8 - Bayes Thought Experiment Assignment.html
90 Bytes
3 - Naïve Bayes/15 - The YouTube Dataset Preprocessing Assignment.html
60 Bytes
3 - Naïve Bayes/17 - The YouTube Dataset Classification Assignment.html
60 Bytes
3 - Naïve Bayes/21 - Naïve Bayes Assignment.html
60 Bytes
4 - KNearest Neighbors/32 - KNeighbors Classifier Assignment.html
60 Bytes
4 - KNearest Neighbors/36 - KNeighbors Regressor Assignment.html
60 Bytes
3 - Naïve Bayes/1 - Bayes Thought Experiment.html
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3 - Naïve Bayes/2 - Bayes Theorem.html
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3 - Naïve Bayes/3 - The HamorSpam Example.html
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4 - KNearest Neighbors/4 - Motivation.html
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4 - KNearest Neighbors/5 - Math Prerequisites Distance Metrics.html
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6 - Support Vector Machines/6 - Intro to SVMs.html
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6 - Support Vector Machines/7 - Hard margin problem.html
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6 - Support Vector Machines/8 - Kernels.html
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6 - Support Vector Machines/9 - Implementing a linear SVM.html
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7 - Ridge and Lasso Regression/10 - Ridge Regression Mechanics.html
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7 - Ridge and Lasso Regression/11 - Lasso Regression Basics.html
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7 - Ridge and Lasso Regression/12 - Crossvalidation for Choosing a Tuning Parameter.html
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