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09 - 8. Capstone Project/50 - Solution: Capstone project.mp4 53.1 MB
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03 - 2. Python Collections/19 - Python collections: Dictionaries.mp4 19.3 MB
02 - 1. Python Basics/12 - String manipulation.mp4 18.3 MB
06 - 5. NumPy/35 - Indexing and slicing.mp4 17.8 MB
05 - 4. pandas DataFrame API/28 - Data manipulation and aggregation.mp4 17.1 MB
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02 - 1. Python Basics/09 - Control structures.mp4 12.3 MB
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432 Selecting Quality Packages Part 2.mp4 88.2 MB
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42 Finding Popular Packages on Curated Lists.mp4 42.7 MB
25 Installing Packages With pip.mp4 26.8 MB
242 Python Warehouse Sneak Peek.mp4 24.6 MB
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52 Capturing Dependencies.mp4 21.5 MB
31 Creating and Activating a Virtual Environment.mp4 19.6 MB
55 Requirements Files Best Practices.mp4 17.2 MB
53 Restoring Captured Dependencies.mp4 14.9 MB
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23 Installing and Updating pip.mp4 13.2 MB
50 Reproducible Environments and Application Deploys.mp4 10.6 MB
27 Uninstalling Packages.mp4 10.2 MB
35 My Virtual Environments Workflow.mp4 9.7 MB
21 Introduction to Dependency Management.mp4 9.7 MB
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30 Isolating Dependencies With Virtual Environments.mp4 8.6 MB
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12. String Objects/12_03-Formatting strings.mp4 16.5 MB
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04. Types and Values/04_06-type and id.mp4 14.7 MB
11. Exceptions/11_01-Handling exceptions.mp4 14.6 MB
09. Structured Data/09_03-Dictionaries.mp4 14.6 MB
04. Types and Values/04_05-Sequence types.mp4 14.2 MB
10. Classes/10_03-Class methods.mp4 14.1 MB
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15 Business Case/095 Business Case - A Look Into the Automobile Industry.mp4 195.3 MB
13 Auto ARIMA/084 Basic Auto ARIMA Arguments.mp4 91.7 MB
07 Modeling Autoregression The AR Model/036 Fitting Higher-Lag AR Models for Prices.mp4 66.2 MB
14 Forecasting/094 Forecasting Appendix Multivariate Forecasting.mp4 60.5 MB
09 Past Values and Past Errors The ARMA Model/058 ARMA for Prices.mp4 58.7 MB
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14 Forecasting/087 Introduction to Forecasting.mp4 53.7 MB
14 Forecasting/092 Pitfalls of Forecasting.mp4 50.2 MB
01 Introduction/001 What does the course cover.mp4 49.6 MB
03 Introduction to Time Series in Python/010 Introduction to Time-Series Data.mp4 49.5 MB
10 Modeling Non-Stationary Data The ARIMA Model/067 Seasonal Models - SARIMAX.mp4 49.2 MB
10 Modeling Non-Stationary Data The ARIMA Model/060 The Autoregressive Integrated Moving Average (ARIMA) Model.mp4 49.2 MB
05 Working with Time Series in Python/024 White Noise.mp4 48.6 MB
07 Modeling Autoregression The AR Model/033 The Autoregressive (AR) Model.mp4 47.5 MB
09 Past Values and Past Errors The ARMA Model/056 Fitting a Higher-Lag ARMA Model for Returns - Part 3.mp4 45.9 MB
10 Modeling Non-Stationary Data The ARIMA Model/063 Fitting a Higher-Lag ARIMA Model for Prices - Part 2.mp4 45.8 MB
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12. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
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10. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
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9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.vtt 87.0 MB
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10. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
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12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
9. Applications to Recommender Systems/7. Recommender RBM Code pt 1.mp4 73.8 MB
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