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6.41KB
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05 - The Field of Data Science - Popular Data Science Techniques/008 Real Life Examples of Traditional Methods__en.srt
3.53KB
05 - The Field of Data Science - Popular Data Science Techniques/009 Machine Learning (ML) Techniques.mp4
47.78MB
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08 - The Field of Data Science - Debunking Common Misconceptions/001 Debunking Common Misconceptions.mp4
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09 - Part 2_ Probability/001 The Basic Probability Formula.mp4
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14 - Part 3_ Statistics/001 Population and Sample.mp4
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15 - Statistics - Descriptive Statistics/001 Types of Data.mp4
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15 - Statistics - Descriptive Statistics/002 Levels of Measurement.mp4
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17 - Statistics - Inferential Statistics Fundamentals/001 Introduction.mp4
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20 - Statistics - Hypothesis Testing/001 Null vs Alternative Hypothesis.mp4
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39 - Advanced Statistical Methods - Other Types of Clustering/001 Types of Clustering.mp4
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40 - Part 6_ Mathematics/005 What is a Tensor_.mp4
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40 - Part 6_ Mathematics/29589188-Dot-product.ipynb
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41 - Part 7_ Deep Learning/001 What to Expect from this Part_.mp4
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42 - Deep Learning - Introduction to Neural Networks/008 What is the Objective Function_.mp4
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3.82KB
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48 - Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/001 Stochastic Gradient Descent.mp4
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48 - Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/007 Adam (Adaptive Moment Estimation).mp4
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3.42KB
49 - Deep Learning - Preprocessing/001 Preprocessing Introduction.mp4
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52 - Deep Learning - Conclusion/001 Summary on What You've Learned.mp4
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52 - Deep Learning - Conclusion/004 An overview of CNNs.mp4
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53 - Appendix_ Deep Learning - TensorFlow 1_ Introduction/13070608-Shortcuts-for-Jupyter.pdf
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53 - Appendix_ Deep Learning - TensorFlow 1_ Introduction/29591432-TensorFlow-Minimal-Example-Exercise-1-Solution.ipynb
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53 - Appendix_ Deep Learning - TensorFlow 1_ Introduction/29591442-TensorFlow-Minimal-Example-Exercise-2-1-Solution.ipynb
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53 - Appendix_ Deep Learning - TensorFlow 1_ Introduction/29591444-TensorFlow-Minimal-Example-Exercise-2-2-Solution.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/001 MNIST_ What is the MNIST Dataset_.mp4
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/002 MNIST_ How to Tackle the MNIST__en.srt
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/004 MNIST_ Model Outline.mp4
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/004 MNIST_ Model Outline__en.srt
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/005 MNIST_ Loss and Optimization Algorithm.mp4
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/005 MNIST_ Loss and Optimization Algorithm__en.srt
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/006 Calculating the Accuracy of the Model.mp4
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/006 Calculating the Accuracy of the Model__en.srt
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/007 MNIST_ Batching and Early Stopping.mp4
8.7MB
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/007 MNIST_ Batching and Early Stopping__en.srt
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/008 MNIST_ Learning.mp4
31.88MB
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/009 MNIST_ Results and Testing.mp4
38.19MB
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/009 MNIST_ Results and Testing__en.srt
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/010 MNIST_ Exercises.html
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/011 MNIST_ Solutions.html
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591484-12.3.TensorFlow-MNIST-with-comments-Part-1.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591494-12.4.TensorFlow-MNIST-with-comments-Part-2.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591504-12.5.TensorFlow-MNIST-with-comments-Part-3.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591514-12.6.TensorFlow-MNIST-with-comments-Part-4.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591520-12.7.TensorFlow-MNIST-with-comments-Part-5.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591538-12.8.TensorFlow-MNIST-with-comments-Part-6.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591550-12.9.TensorFlow-MNIST-with-comments.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591622-TensorFlow-MNIST-Exercises-All.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591632-0.TensorFlow-MNIST-take-note-of-time-Solution.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591642-1.TensorFlow-MNIST-Width-Solution.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591650-2.TensorFlow-MNIST-Depth-Solution.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591654-3.TensorFlow-MNIST-Width-and-Depth-Solution.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591658-4.TensorFlow-MNIST-Activation-functions-Part-1-Solution.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591660-5.TensorFlow-MNIST-Activation-functions-Part-2-Solution.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591668-6.TensorFlow-MNIST-Batch-size-Part-1-Solution.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591682-7.TensorFlow-MNIST-Batch-size-Part-2-Solution.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591686-8.TensorFlow-MNIST-Learning-rate-Part-1-Solution.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591690-9.TensorFlow-MNIST-Learning-rate-Part-2-Solution.ipynb
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54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/29591694-TensorFlow-MNIST-around-98-percent-accuracy.ipynb
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55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/001 Business Case_ Getting Acquainted with the Dataset.mp4
60.26MB
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55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/001 Business Case_ Getting Acquainted with the Dataset__en.srt
10.62KB
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/002 Business Case_ Outlining the Solution.mp4
2.89MB
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55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/002 Business Case_ Outlining the Solution__en.srt
2.5KB
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/003 The Importance of Working with a Balanced Dataset.mp4
21.6MB
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55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/003 The Importance of Working with a Balanced Dataset__en.srt
4.72KB
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/004 Business Case_ Preprocessing.mp4
74.39MB
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55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/004 Business Case_ Preprocessing__en.srt
348B
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/004 Business Case_ Preprocessing_en.vtt
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55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/005 Business Case_ Preprocessing Exercise.html
379B
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/006 Creating a Data Provider.mp4
56.23MB
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55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/006 Creating a Data Provider__en.srt
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55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/007 Business Case_ Model Outline.mp4
42.48MB
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55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/007 Business Case_ Model Outline__en.srt
7.09KB
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/008 Business Case_ Optimization.mp4
26.95MB
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55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/008 Business Case_ Optimization__en.srt
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55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/009 Business Case_ Interpretation.mp4
18.59MB
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55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/009 Business Case_ Interpretation__en.srt
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55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/010 Business Case_ Testing the Model.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/010 Analyzing the Reasons for Absence__en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/011 Obtaining Dummies from a Single Feature.mp4
63.77MB
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58 - Case Study - Preprocessing the 'Absenteeism_data'/011 Obtaining Dummies from a Single Feature__en.srt
10.28KB
58 - Case Study - Preprocessing the 'Absenteeism_data'/012 EXERCISE - Obtaining Dummies from a Single Feature.html
123B
58 - Case Study - Preprocessing the 'Absenteeism_data'/013 SOLUTION - Obtaining Dummies from a Single Feature.html
117B
58 - Case Study - Preprocessing the 'Absenteeism_data'/014 Dropping a Dummy Variable from the Data Set.html
2.31KB
58 - Case Study - Preprocessing the 'Absenteeism_data'/015 More on Dummy Variables_ A Statistical Perspective.mp4
3.18MB
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58 - Case Study - Preprocessing the 'Absenteeism_data'/015 More on Dummy Variables_ A Statistical Perspective__en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/016 Classifying the Various Reasons for Absence.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/016 Classifying the Various Reasons for Absence__en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/017 Using .concat() in Python.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/017 Using .concat() in Python__en.srt
5.23KB
58 - Case Study - Preprocessing the 'Absenteeism_data'/018 EXERCISE - Using .concat() in Python.html
189B
58 - Case Study - Preprocessing the 'Absenteeism_data'/019 SOLUTION - Using .concat() in Python.html
143B
58 - Case Study - Preprocessing the 'Absenteeism_data'/020 Reordering Columns in a Pandas DataFrame in Python.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/020 Reordering Columns in a Pandas DataFrame in Python__en.srt
1.87KB
58 - Case Study - Preprocessing the 'Absenteeism_data'/021 EXERCISE - Reordering Columns in a Pandas DataFrame in Python.html
161B
58 - Case Study - Preprocessing the 'Absenteeism_data'/022 SOLUTION - Reordering Columns in a Pandas DataFrame in Python.html
478B
58 - Case Study - Preprocessing the 'Absenteeism_data'/023 Creating Checkpoints while Coding in Jupyter.mp4
17.34MB
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58 - Case Study - Preprocessing the 'Absenteeism_data'/023 Creating Checkpoints while Coding in Jupyter__en.srt
3.72KB
58 - Case Study - Preprocessing the 'Absenteeism_data'/024 EXERCISE - Creating Checkpoints while Coding in Jupyter.html
137B
58 - Case Study - Preprocessing the 'Absenteeism_data'/025 SOLUTION - Creating Checkpoints while Coding in Jupyter.html
118B
58 - Case Study - Preprocessing the 'Absenteeism_data'/026 Analyzing the Dates from the Initial Data Set.mp4
40.13MB
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58 - Case Study - Preprocessing the 'Absenteeism_data'/026 Analyzing the Dates from the Initial Data Set__en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/027 Extracting the Month Value from the _Date_ Column.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/027 Extracting the Month Value from the _Date_ Column__en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/028 Extracting the Day of the Week from the _Date_ Column.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/028 Extracting the Day of the Week from the _Date_ Column__en.srt
4.4KB
58 - Case Study - Preprocessing the 'Absenteeism_data'/029 EXERCISE - Removing the _Date_ Column.html
1.14KB
58 - Case Study - Preprocessing the 'Absenteeism_data'/030 Analyzing Several _Straightforward_ Columns for this Exercise.mp4
12.23MB
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58 - Case Study - Preprocessing the 'Absenteeism_data'/030 Analyzing Several _Straightforward_ Columns for this Exercise__en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/031 Working on _Education_, _Children_, and _Pets_.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/031 Working on _Education_, _Children_, and _Pets___en.srt
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58 - Case Study - Preprocessing the 'Absenteeism_data'/032 Final Remarks of this Section.mp4
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58 - Case Study - Preprocessing the 'Absenteeism_data'/032 Final Remarks of this Section__en.srt
2.52KB
58 - Case Study - Preprocessing the 'Absenteeism_data'/033 A Note on Exporting Your Data as a _.csv File.html
880B
58 - Case Study - Preprocessing the 'Absenteeism_data'/15271310-Absenteeism-data.csv
32.05KB
58 - Case Study - Preprocessing the 'Absenteeism_data'/15271322-data-preprocessing-homework.pdf
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58 - Case Study - Preprocessing the 'Absenteeism_data'/15271330-df-preprocessed.csv
29.11KB
58 - Case Study - Preprocessing the 'Absenteeism_data'/29545298-Absenteeism-Exercise-Preprocessing-df-reason-mod.ipynb
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58 - Case Study - Preprocessing the 'Absenteeism_data'/29545314-Absenteeism-Exercise-Preprocessing-ChP-df-date-reason-mod.ipynb
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58 - Case Study - Preprocessing the 'Absenteeism_data'/29545316-Absenteeism-Exercise-Removing-the-Date-Column-SOLUTION.ipynb
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58 - Case Study - Preprocessing the 'Absenteeism_data'/29545318-Absenteeism-Exercise-Preprocessing-LECTURES.ipynb
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58 - Case Study - Preprocessing the 'Absenteeism_data'/29545334-Absenteeism-Exercise-Preprocessing-df-preprocessed.ipynb
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58 - Case Study - Preprocessing the 'Absenteeism_data'/29545338-Absenteeism-Exercise-EXERCISES-and-SOLUTIONS.ipynb
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/001 Exploring the Problem with a Machine Learning Mindset.mp4
11.08MB
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/001 Exploring the Problem with a Machine Learning Mindset__en.srt
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/002 Creating the Targets for the Logistic Regression.mp4
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59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/002 Creating the Targets for the Logistic Regression__en.srt
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63 - Appendix - pandas Fundamentals/010 Data Selection in pandas DataFrames.mp4
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63 - Appendix - pandas Fundamentals/010 Data Selection in pandas DataFrames__en.srt
10.04KB
63 - Appendix - pandas Fundamentals/011 pandas DataFrames - Indexing with .iloc[].mp4
23.54MB
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63 - Appendix - pandas Fundamentals/011 pandas DataFrames - Indexing with .iloc[]__en.srt
8.07KB
63 - Appendix - pandas Fundamentals/012 pandas DataFrames - Indexing with .loc[].mp4
20.72MB
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63 - Appendix - pandas Fundamentals/012 pandas DataFrames - Indexing with .loc[]__en.srt
5.51KB
64 - Bonus Lecture/001 Bonus Lecture_ Next Steps.html
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64 - Bonus Lecture/35215106-365-Data-Science-Data-Science-Interview-Questions-Guide.pdf
15.56MB
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