Udemy - The Supervised Machine Learning Course

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Udemy - The Supervised Machine Learning Course

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文件列表

  • 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/11 - The HamorSpam Example Assignment.html 184 Bytes
  • 1 - Introduction/[CourseClub.Me].url 122 Bytes
  • 4 - KNearest Neighbors/[CourseClub.Me].url 122 Bytes
  • 7 - Ridge and Lasso Regression/[CourseClub.Me].url 122 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
  • 1 - Introduction/[GigaCourse.Com].url 49 Bytes
  • 4 - KNearest Neighbors/[GigaCourse.Com].url 49 Bytes
  • 7 - Ridge and Lasso Regression/[GigaCourse.Com].url 49 Bytes
  • 3 - Naïve Bayes/1 - Bayes Thought Experiment.html 0 Bytes
  • 3 - Naïve Bayes/2 - Bayes Theorem.html 0 Bytes
  • 3 - Naïve Bayes/3 - The HamorSpam Example.html 0 Bytes
  • 4 - KNearest Neighbors/4 - Motivation.html 0 Bytes
  • 4 - KNearest Neighbors/5 - Math Prerequisites Distance Metrics.html 0 Bytes
  • 6 - Support Vector Machines/6 - Intro to SVMs.html 0 Bytes
  • 6 - Support Vector Machines/7 - Hard margin problem.html 0 Bytes
  • 6 - Support Vector Machines/8 - Kernels.html 0 Bytes
  • 6 - Support Vector Machines/9 - Implementing a linear SVM.html 0 Bytes
  • 7 - Ridge and Lasso Regression/10 - Ridge Regression Mechanics.html 0 Bytes
  • 7 - Ridge and Lasso Regression/11 - Lasso Regression Basics.html 0 Bytes
  • 7 - Ridge and Lasso Regression/12 - Crossvalidation for Choosing a Tuning Parameter.html 0 Bytes

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