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| [CourseClub.Me].url |
122б |
| [FreeCourseSite.com].url |
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| [GigaCourse.Com].url |
49б |
| 001 1.04.Real-life-example.csv |
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| 001 3.17.Practical-example.Confidence-intervals-lesson.xlsx |
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| 001 4.10.Hypothesis-testing-section-practical-example.xlsx |
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| 001 Applying Traditional Data, Big Data, BI, Traditional Data Science and ML_en.vtt |
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| 001 READ ME!!!!.html |
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| 001 Stochastic Gradient Descent_en.vtt |
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| 001 Stochastic Gradient Descent.mp4 |
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| 001 Summary on What You've Learned_en.vtt |
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| 001 Summary on What You've Learned.mp4 |
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| 001 Techniques for Working with Traditional Data_en.vtt |
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| 001 Techniques for Working with Traditional Data.mp4 |
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| 001 The Basic Probability Formula_en.vtt |
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| 001 The IF Statement_en.vtt |
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| 001 The Linear Regression Model_en.vtt |
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| 001 The Reason Behind These Disciplines_en.vtt |
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| 001 Using the .format() Method_en.vtt |
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| 001 Variables_en.vtt |
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| 001 What are Confidence Intervals_en.vtt |
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| 001 What are Confidence Intervals.mp4 |
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| 001 What are Data, Servers, Clients, Requests, and Responses_en.vtt |
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| 001 What are Data, Servers, Clients, Requests, and Responses.mp4 |
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| 001 What is a Layer_en.vtt |
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| 001 What to Expect from the Following Sections.html |
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| 002 Importing the Absenteeism Data in Python_en.vtt |
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| 012 TensorFlow-Audiobooks-Machine-learning-Homework.ipynb |
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| 012 Test for the mean. Independent Samples (Part 1)_en.vtt |
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| 012 Test for the mean. Independent Samples (Part 1).mp4 |
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| 012 Testing the Model We Created_en.vtt |
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| 013 2.8.Skewness-lesson.xlsx |
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| 013 Calculating the Accuracy of the Model.html |
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| 013 Calculating-the-Accuracy-of-the-Model-Exercise.ipynb |
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| 013 Calculating-the-Accuracy-of-the-Model-Solution.ipynb |
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| 013 Confidence intervals. Two means. Independent Samples (Part 2)_en.vtt |
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| 013 Continuous Distributions The Exponential Distribution_en.vtt |
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| 013 How is Clustering Useful_en.vtt |
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| 013 Making Predictions with the Linear Regression_en.vtt |
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| 013 Multiple Linear Regression - Exercise.html |
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| 013 Saving the Model and Preparing it for Deployment_en.vtt |
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| 013 Skewness_en.vtt |
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| 013 SOLUTION - Obtaining Dummies from a Single Feature.html |
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| 014 4.9.Test-for-the-mean.Independent-samples-Part-2-lesson.xlsx |
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| 014 ARTICLE - A Note on 'pickling'.html |
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| 014 Confidence intervals. Two means. Independent Samples (Part 2). Exercise.html |
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| 014 Continuous Distributions The Logistic Distribution_en.vtt |
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| 014 Dropping a Dummy Variable from the Data Set.html |
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| 014 EXERCISE Species Segmentation with Cluster Analysis (Part 1).html |
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| 014 Species-Segmentation-with-Cluster-Analysis-Part-1-Exercise.ipynb |
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| 014 Underfitting and Overfitting_en.vtt |
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| 015 A Practical Example of Probability Distributions_en.vtt |
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| 015 A Practical Example of Probability Distributions.mp4 |
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| 015 Confidence intervals. Two means. Independent Samples (Part 3)_en.vtt |
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| 015 Confidence intervals. Two means. Independent Samples (Part 3).mp4 |
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| 015 Customers-Membership.xlsx |
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| 015 EXERCISE - Saving the Model (and Scaler).html |
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| 015 EXERCISE Species Segmentation with Cluster Analysis (Part 2).html |
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| 015 Feature Selection through Standardization of Weights_en.vtt |
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| 015 More on Dummy Variables A Statistical Perspective_en.vtt |
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| 015 Species-Segmentation-with-Cluster-Analysis-Part-2-Exercise.ipynb |
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| 015 Test for the mean. Independent Samples (Part 2). Exercise.html |
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| 015 Variance_en.vtt |
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| 016 Bank-data-testing.csv |
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| 016 Classifying the Various Reasons for Absence_en.vtt |
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| 016 Predicting with the Standardized Coefficients_en.vtt |
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| 016 Preparing the Deployment of the Model through a Module_en.vtt |
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| 016 sklearn-Making-Predictions-with-the-Standardized-Coefficients.ipynb |
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| 017 2.10.Standard-deviation-and-coefficient-of-variation-lesson.xlsx |
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| 017 Using .concat() in Python_en.vtt |
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| 018 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx |
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| 018 EXERCISE - Using .concat() in Python.html |
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| 018 Standard Deviation and Coefficient of Variation Exercise.html |
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| 018 Underfitting and Overfitting_en.vtt |
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| 019 2.11.Covariance-lesson.xlsx |
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| 019 Covariance_en.vtt |
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| 020 2.11.Covariance-exercise.xlsx |
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| 020 Covariance Exercise.html |
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| 020 Reordering Columns in a Pandas DataFrame in Python_en.vtt |
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| 020 Reordering Columns in a Pandas DataFrame in Python.mp4 |
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| 021 Correlation Coefficient_en.vtt |
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| 021 Correlation Coefficient.mp4 |
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| 021 EXERCISE - Reordering Columns in a Pandas DataFrame in Python.html |
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| 022 2.12.Correlation-exercise.xlsx |
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| 022 Correlation Coefficient Exercise.html |
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| 022 SOLUTION - Reordering Columns in a Pandas DataFrame in Python.html |
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| 023 Absenteeism-Exercise-Preprocessing-df-reason-mod.ipynb |
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| 023 Creating Checkpoints while Coding in Jupyter_en.vtt |
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| 023 Creating Checkpoints while Coding in Jupyter.mp4 |
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| 024 EXERCISE - Creating Checkpoints while Coding in Jupyter.html |
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| 025 SOLUTION - Creating Checkpoints while Coding in Jupyter.html |
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| 026 Analyzing the Dates from the Initial Data Set_en.vtt |
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| 026 Analyzing the Dates from the Initial Data Set.mp4 |
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| 027 Extracting the Month Value from the Date Column_en.vtt |
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| 027 Extracting the Month Value from the Date Column.mp4 |
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| 028 Extracting the Day of the Week from the Date Column_en.vtt |
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| 028 Extracting the Day of the Week from the Date Column.mp4 |
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| 029 Absenteeism-Exercise-Preprocessing-ChP-df-date-reason-mod.ipynb |
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| 029 EXERCISE - Removing the Date Column.html |
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| 030 Analyzing Several Straightforward Columns for this Exercise_en.vtt |
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| 030 Analyzing Several Straightforward Columns for this Exercise.mp4 |
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| 031 Working on Education, Children, and Pets_en.vtt |
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| 032 Absenteeism-Exercise-EXERCISES-and-SOLUTIONS.ipynb |
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| 032 Final Remarks of this Section_en.vtt |
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| 033 A Note on Exporting Your Data as a .csv File.html |
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