Create Tool:
Create Time:2024-10-09 09:51:19
File Size:2.84 GB
File Count:147
File Hash:fb1eb57ef1edb3ce70900286344ebec963f636df
| 6 - Support Vector Machines/58 - Kernels Intuition.mp4 | 78.90 MB |
| 6 - Support Vector Machines/64 - Crossvalidation.mp4 | 78.30 MB |
| 1 - Introduction/1 - Introduction.mp4 | 71.57 MB |
| 5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 | 70.79 MB |
| 3 - Naïve Bayes/10 - The HamorSpam Example.mp4 | 68.50 MB |
| 3 - Naïve Bayes/9 - Bayes Theorem.mp4 | 67.50 MB |
| 6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 | 63.90 MB |
| 5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 | 61.03 MB |
| 6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 | 60.57 MB |
| 4 - KNearest Neighbors/37 - Pros and Cons.mp4 | 56.54 MB |
| 5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 | 54.48 MB |
| 7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 | 54.20 MB |
| 5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 | 54.08 MB |
| 4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 | 51.81 MB |
| 6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 | 51.03 MB |
| 5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 | 48.48 MB |
| 4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 | 47.85 MB |
| 7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 | 47.79 MB |
| 4 - KNearest Neighbors/28 - Random Dataset Decision Regions.mp4 | 47.10 MB |
| 7 - Ridge and Lasso Regression/76 - The Hitters Dataset Preprocessing and Preparation.mp4 | 47.10 MB |
| 3 - Naïve Bayes/14 - The YouTube Dataset Preprocessing.mp4 | 45.02 MB |
| 4 - KNearest Neighbors/33 - Theory with a Practical Example.mp4 | 44.80 MB |
| 3 - Naïve Bayes/6 - Motivation.mp4 | 44.42 MB |
| 7 - Ridge and Lasso Regression/71 - Ridge Regression Basics.mp4 | 44.20 MB |
| 5 - Decision Trees and Random Forests/44 - Practical Example Plotting the Tree.mp4 | 44.00 MB |
| 3 - Naïve Bayes/20 - The YouTube Dataset Changing the Priors.mp4 | 41.31 MB |
| 5 - Decision Trees and Random Forests/47 - Tree Pruning Dealing with Overfitting.mp4 | 40.36 MB |
| 3 - Naïve Bayes/19 - The YouTube Dataset Accuracy Precision Recall and the F1 score.mp4 | 38.65 MB |
| 3 - Naïve Bayes/13 - CountVectorizer.mp4 | 37.88 MB |
| 7 - Ridge and Lasso Regression/77 - Exploratory Data Analysis.mp4 | 37.85 MB |
| 6 - Support Vector Machines/66 - Hyperparameter tuning using GridSearchCV.mp4 | 35.99 MB |
| 5 - Decision Trees and Random Forests/38 - What is a Tree in Computer Science.mp4 | 35.68 MB |
| 7 - Ridge and Lasso Regression/75 - Lasso Regression vs Ridge Regression.mp4 | 34.67 MB |
| 3 - Naïve Bayes/12 - The YouTube Dataset Creating the Data Frame.mp4 | 34.56 MB |
| 3 - Naïve Bayes/7 - Bayes Thought Experiment.mp4 | 34.47 MB |
| 4 - KNearest Neighbors/35 - KNN vs Linear Regression A Nonlinear Problem.mp4 | 33.90 MB |
| 5 - Decision Trees and Random Forests/43 - Practical Example Creating a Decision Tree.mp4 | 33.61 MB |
| 4 - KNearest Neighbors/29 - Random Dataset Choosing the Best Kvalue.mp4 | 33.42 MB |
| 5 - Decision Trees and Random Forests/48 - Random Forest as Ensemble Learning.mp4 | 32.75 MB |
| 5 - Decision Trees and Random Forests/39 - The Concept of Decision Trees.mp4 | 32.37 MB |
| 6 - Support Vector Machines/59 - Intro to the practical case.mp4 | 32.30 MB |
| 7 - Ridge and Lasso Regression/80 - Performing Ridge Regression with Crossvalidation.mp4 | 31.72 MB |
| 7 - Ridge and Lasso Regression/82 - Comparing the Results.mp4 | 31.71 MB |
| 7 - Ridge and Lasso Regression/81 - Performing Lasso Regression with Crossvalidation.mp4 | 31.71 MB |
| 7 - Ridge and Lasso Regression/79 - Crossvalidation for Choosing a Tuning Parameter.mp4 | 31.22 MB |
| 5 - Decision Trees and Random Forests/49 - Bootstrapping.mp4 | 30.64 MB |
| 2 - Setting up the Environment/2 - Installing Anaconda.mp4 | 30.24 MB |
| 7 - Ridge and Lasso Regression/68 - Regression Analysis Overview.mp4 | 30.11 MB |
| 6 - Support Vector Machines/63 - Analyzing the results– Confusion Matrix Precision and Recall.mp4 | 28.90 MB |
| 4 - KNearest Neighbors/25 - Random Dataset Visualizing the Dataset.mp4 | 28.87 MB |
| 7 - Ridge and Lasso Regression/69 - Overfitting and Multicollinearity.mp4 | 28.83 MB |
| 4 - KNearest Neighbors/30 - Random Dataset Grid Search.mp4 | 28.55 MB |
| 4 - KNearest Neighbors/23 - Math Prerequisites Distance Metrics.mp4 | 28.46 MB |
| 5 - Decision Trees and Random Forests/53 - Training the Decision Tree.mp4 | 28.00 MB |
| 5 - Decision Trees and Random Forests/54 - Training the Random Forest.mp4 | 27.82 MB |
| 4 - KNearest Neighbors/27 - Random Dataset How to Break a Tie.mp4 | 27.40 MB |
| 5 - Decision Trees and Random Forests/46 - Decision Tree Metrics Information Gain.mp4 | 26.99 MB |
| 7 - Ridge and Lasso Regression/70 - Introduction to Regularization.mp4 | 26.58 MB |
| 5 - Decision Trees and Random Forests/50 - From Bootstrapping to Random Forests.mp4 | 26.56 MB |
| 4 - KNearest Neighbors/22 - Motivation.mp4 | 25.01 MB |
| 3 - Naïve Bayes/16 - The YouTube Dataset Classification.mp4 | 24.24 MB |
| 2 - Setting up the Environment/5 - Installing the relevant packages.mp4 | 23.33 MB |
| 5 - Decision Trees and Random Forests/42 - Practical Example The Iris Dataset.mp4 | 22.35 MB |
| 7 - Ridge and Lasso Regression/74 - Lasso Regression Basics.mp4 | 22.15 MB |
| 7 - Ridge and Lasso Regression/83 - Replacing the Missing Values in the DataFrame.mp4 | 21.73 MB |
| 4 - KNearest Neighbors/31 - Random Dataset Model Performance.mp4 | 21.71 MB |
| 7 - Ridge and Lasso Regression/73 - Regularization in More Complicated Scenarios.mp4 | 21.50 MB |
| 2 - Setting up the Environment/4 - Jupyter Dashboard Part 2.mp4 | 21.49 MB |
| 6 - Support Vector Machines/65 - Choosing the kernels and C values for crossvalidation.mp4 | 19.26 MB |
| 3 - Naïve Bayes/18 - The YouTube Dataset Confusion Matrix.mp4 | 18.21 MB |
| 4 - KNearest Neighbors/24 - Random Dataset Generating the Dataset.mp4 | 17.26 MB |
| 6 - Support Vector Machines/61 - Splitting the data into train and test and rescaling.mp4 | 16.79 MB |
| 6 - Support Vector Machines/60 - Preprocessing the data.mp4 | 15.42 MB |
| 3 - Naïve Bayes/21 - 365-ML-infographic.pdf | 14.09 MB |
| 3 - Naïve Bayes/6 - 365-ML-infographic.pdf | 14.09 MB |
| 4 - KNearest Neighbors/22 - 365-ML-infographic.pdf | 14.09 MB |
| 4 - KNearest Neighbors/37 - 365-ML-infographic.pdf | 14.09 MB |
| 6 - Support Vector Machines/55 - 365-ML-infographic.pdf | 14.09 MB |
| 7 - Ridge and Lasso Regression/68 - 365-ML-infographic.pdf | 14.09 MB |
| 6 - Support Vector Machines/62 - Implementing a linear SVM.mp4 | 12.96 MB |
| 2 - Setting up the Environment/3 - Jupyter Dashboard Part 1.mp4 | 10.49 MB |
| 5 - Decision Trees and Random Forests/38 - Course-Notes-Decision-Trees-and-Random-Forests.pdf | 1.01 MB |
| 5 - Decision Trees and Random Forests/54 - Course-Notes-Decision-Trees-and-Random-Forests.pdf | 1.01 MB |
| 5 - Decision Trees and Random Forests/52 - Census-Income-Dataset.zip | 626 KB |
| 3 - Naïve Bayes/21 - Machine-Learning-with-Naive-Bayes-Course-Notes-365-Data-Science.pdf | 531 KB |
| 3 - Naïve Bayes/6 - Machine-Learning-with-Naive-Bayes-Course-Notes-365-Data-Science.pdf | 531 KB |
| 4 - KNearest Neighbors/22 - Machine-Learning-with-K-Nearest-Neighbors-Course-Notes-365-Data-Science.pdf | 459 KB |
| 4 - KNearest Neighbors/37 - Machine-Learning-with-K-Nearest-Neighbors-Course-Notes-365-Data-Science.pdf | 459 KB |
| 5 - Decision Trees and Random Forests/53 - 5.16.Census-Data-Decision-Tree.ipynb | 455 KB |
| 6 - Support Vector Machines/59 - mushrooms-full-dataset.csv | 365 KB |
| 6 - Support Vector Machines/67 - Social-Purchase-SVMs-Assignment-3.ipynb | 324 KB |
| 6 - Support Vector Machines/67 - Social-Purchase-SVMs-Assignment-3-Solution.ipynb | 323 KB |
| 4 - KNearest Neighbors/36 - KNeighborsRegressor-Exercise.zip | 297 KB |
| 5 - Decision Trees and Random Forests/44 - 5.7.Full-Iris-code.ipynb | 252 KB |
| 3 - Naïve Bayes/12 - Notebooks-and-Dataset.zip | 172 KB |
| 3 - Naïve Bayes/15 - youtube-dataset.zip | 162 KB |
| 3 - Naïve Bayes/17 - youtube-dataset.zip | 162 KB |
| 5 - Decision Trees and Random Forests/54 - 5.17.Census-Data-Random-Forest.ipynb | 77 KB |
| 5 - Decision Trees and Random Forests/52 - 5.15.Census-Data-Preprocessing.ipynb | 71 KB |
| 7 - Ridge and Lasso Regression/83 - Exercise-Solutions.ipynb | 48 KB |
| 6 - Support Vector Machines/65 - 3.8-Support-Vector-Machines-Classification-complete.ipynb | 35 KB |
| 7 - Ridge and Lasso Regression/76 - Hitters.csv | 20 KB |
| 6 - Support Vector Machines/67 - social.csv | 13 KB |
| 5 - Decision Trees and Random Forests/51 - 5.14.Random-Forest-Code-Glass-Dataset.ipynb | 13 KB |
| 7 - Ridge and Lasso Regression/76 - Multiple-Linear-Regression-Ridge-Lasso-Hitters.ipynb | 11 KB |
| 7 - Ridge and Lasso Regression/76 - Hitters-Data-Legend.xlsx | 11 KB |
| 5 - Decision Trees and Random Forests/43 - 5.6.Creating-a-Decision-Tree.ipynb | 10 KB |
| 4 - KNearest Neighbors/24 - KNeighborsClassifier-Notebooks.zip | 9 KB |
| 3 - Naïve Bayes/17 - Exercise-2.ipynb | 8 KB |
| 4 - KNearest Neighbors/32 - KNeighborsClassifier-Exercise.zip | 8 KB |
| 3 - Naïve Bayes/17 - Exercise-2-solution.ipynb | 7 KB |
| 3 - Naïve Bayes/15 - Exercise-1-solution.ipynb | 7 KB |
| 3 - Naïve Bayes/21 - Exercise-3-solution.ipynb | 7 KB |
| 3 - Naïve Bayes/15 - Exercise-1.ipynb | 7 KB |
| 6 - Support Vector Machines/60 - 3.1-Support-Vector-Machines-Classification-Notebook.ipynb | 5 KB |
| 4 - KNearest Neighbors/35 - NonLinearProblem-Notebooks.zip | 5 KB |
| 7 - Ridge and Lasso Regression/83 - Exercise.ipynb | 5 KB |
| 4 - KNearest Neighbors/34 - LinearProblem-Notebooks.zip | 5 KB |
| 4 - KNearest Neighbors/33 - KNeighborsRegressor-Notebooks.zip | 4 KB |
| 3 - Naïve Bayes/21 - Exercise-3.ipynb | 3 KB |
| 5 - Decision Trees and Random Forests/51 - Glass-dataset.zip | 3 KB |
| 6 - Support Vector Machines/67 - Support Vector Machines Assignment.html | 0 KB |
| 3 - Naïve Bayes/11 - The HamorSpam Example Assignment.html | 0 KB |
| 1 - Introduction/[CourseClub.Me].url | 0 KB |
| 4 - KNearest Neighbors/[CourseClub.Me].url | 0 KB |
| 7 - Ridge and Lasso Regression/[CourseClub.Me].url | 0 KB |
| 3 - Naïve Bayes/8 - Bayes Thought Experiment Assignment.html | 0 KB |
| 3 - Naïve Bayes/15 - The YouTube Dataset Preprocessing Assignment.html | 0 KB |
| 3 - Naïve Bayes/17 - The YouTube Dataset Classification Assignment.html | 0 KB |
| 3 - Naïve Bayes/21 - Naïve Bayes Assignment.html | 0 KB |
| 4 - KNearest Neighbors/32 - KNeighbors Classifier Assignment.html | 0 KB |
| 4 - KNearest Neighbors/36 - KNeighbors Regressor Assignment.html | 0 KB |
| 1 - Introduction/[GigaCourse.Com].url | 0 KB |
| 4 - KNearest Neighbors/[GigaCourse.Com].url | 0 KB |
| 7 - Ridge and Lasso Regression/[GigaCourse.Com].url | 0 KB |
| 3 - Naïve Bayes/1 - Bayes Thought Experiment.html | 0 KB |
| 3 - Naïve Bayes/2 - Bayes Theorem.html | 0 KB |
| 3 - Naïve Bayes/3 - The HamorSpam Example.html | 0 KB |
| 4 - KNearest Neighbors/4 - Motivation.html | 0 KB |
| 4 - KNearest Neighbors/5 - Math Prerequisites Distance Metrics.html | 0 KB |
| 6 - Support Vector Machines/6 - Intro to SVMs.html | 0 KB |
| 6 - Support Vector Machines/7 - Hard margin problem.html | 0 KB |
| 6 - Support Vector Machines/8 - Kernels.html | 0 KB |
| 6 - Support Vector Machines/9 - Implementing a linear SVM.html | 0 KB |
| 7 - Ridge and Lasso Regression/10 - Ridge Regression Mechanics.html | 0 KB |
| 7 - Ridge and Lasso Regression/11 - Lasso Regression Basics.html | 0 KB |
| 7 - Ridge and Lasso Regression/12 - Crossvalidation for Choosing a Tuning Parameter.html | 0 KB |
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