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365 Data Science - Time Series Analysis in Python [CoursesGhar]

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29-06-2021 20:33

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File	Size
!! IMPORTANT Note !!.txt	298.00 B
!!! Please Support !!! [CoursesGhar.Com].txt	197.00 B
00. Websites You May Like/A1movies.com.pk.url	116.00 B
00. Websites You May Like/CoursesGhar.com.url	114.00 B
1. Introduction/1. What does the course cover.mp4	18.76 MB
10. The Autoregressive Integrated Moving Average (ARIMA) Model/1. The ARIMA Model.mp4	18.73 MB
10. The Autoregressive Integrated Moving Average (ARIMA) Model/2. Fitting a Simple ARIMA Model for Prices.mp4	18.01 MB
10. The Autoregressive Integrated Moving Average (ARIMA) Model/3. Fitting a Higher Lag ARIMA Model for Prices - part 1.mp4	15.58 MB
10. The Autoregressive Integrated Moving Average (ARIMA) Model/4. Fitting a Higher Lag ARIMA Model for Prices - part 2.mp4	17.85 MB
10. The Autoregressive Integrated Moving Average (ARIMA) Model/5. Higher Levels of Integration.mp4	10.76 MB
10. The Autoregressive Integrated Moving Average (ARIMA) Model/6. Using ARIMA Models for Returns.mp4	12.18 MB
10. The Autoregressive Integrated Moving Average (ARIMA) Model/7. Outside Factors and the ARIMAX Model.mp4	10.27 MB
10. The Autoregressive Integrated Moving Average (ARIMA) Model/8. Seasonal Models - the SARIMAX Model.mp4	17.05 MB
10. The Autoregressive Integrated Moving Average (ARIMA) Model/9. Predicting Stability.mp4	6.95 MB
11. The ARCH Model/1. The ARCH Model.mp4	16.42 MB
11. The ARCH Model/2. Volatility.mp4	10.95 MB
11. The ARCH Model/3. A More Detailed Look of the ARCH Model.mp4	16.28 MB
11. The ARCH Model/4. The arch_model Method.mp4	23.80 MB
11. The ARCH Model/5. The Simple ARCH Model.mp4	21.96 MB
11. The ARCH Model/6. Higher Lag ARCH Models.mp4	13.57 MB
11. The ARCH Model/7. An ARMA Equivalent of the ARCH Model.mp4	5.43 MB
12. The GARCH Model/1. The GARCH Model.mp4	9.26 MB
12. The GARCH Model/2. The ARMA and the GARCH.mp4	7.05 MB
12. The GARCH Model/3. The Simple GARCH Model.mp4	12.71 MB
12. The GARCH Model/4. Higher-Lag GARCH Models.mp4	15.94 MB
12. The GARCH Model/5. An Alternative to the Model Selection Process.mp4	7.14 MB
13. Auto ARIMA/1. Auto ARIMA.mp4	15.94 MB
13. Auto ARIMA/2. Preparing Python for Model Selection.mp4	5.36 MB
13. Auto ARIMA/3. The Default Best Fit.mp4	14.98 MB
13. Auto ARIMA/4. Basic Auto ARIMA Arguments.mp4	30.31 MB
13. Auto ARIMA/5. Advanced Auto ARIMA Arguments.mp4	13.93 MB
13. Auto ARIMA/6. The Goal Behind Modeling.mp4	5.00 MB
14. Forecasting/1. Introduction to Forecasting.mp4	21.54 MB
14. Forecasting/2. Simple Forecasting (Returns with AR and MA).mp4	14.54 MB
14. Forecasting/3. Intermediate Forecasting (MAX Models).mp4	16.66 MB
14. Forecasting/4. Advanced Forecasting (Seasonal Models).mp4	10.19 MB
14. Forecasting/5. Auto ARIMA Forecasting.mp4	12.47 MB
14. Forecasting/6. Pitfalls of Forecasting.mp4	19.83 MB
14. Forecasting/7. Forecasting Volatility.mp4	14.63 MB
14. Forecasting/8. Appendix - Multiple Regression Forecasting.mp4	24.21 MB
15. Business Case/1. Business Case - A Look Into the Automobile Industry.mp4	77.44 MB
2. Setting up the working environment/1. Setting up the environment - Do not skip, please!.mp4	2.37 MB
2. Setting up the working environment/2. Why Python and Jupyter.mp4	9.34 MB
2. Setting up the working environment/3. Installing Anaconda.mp4	8.42 MB
2. Setting up the working environment/4. Jupyter Dashboard - Part 1.mp4	4.10 MB
2. Setting up the working environment/5. Jupyter Dashboard - Part 2.mp4	8.83 MB
2. Setting up the working environment/6. Installing the Necessary Packages.mp4	3.38 MB
3. Introduction to Time Series in Python/1. Introduction to Time Series Data.mp4	18.90 MB
3. Introduction to Time Series in Python/2. Notation for Time Series Data.mp4	4.26 MB
3. Introduction to Time Series in Python/3. Peculiarities.mp4	9.26 MB
3. Introduction to Time Series in Python/4. Loading the Data.mp4	5.13 MB
3. Introduction to Time Series in Python/5. Examining the Data.mp4	13.59 MB
3. Introduction to Time Series in Python/6. Plotting the Data.mp4	8.68 MB
3. Introduction to Time Series in Python/7. The QQ Plot.mp4	6.69 MB
4. Creating a Time Series Object in Python/1. Transforming String inputs into DateTime Values.mp4	10.59 MB
4. Creating a Time Series Object in Python/2. Using Dates as Indices.mp4	6.17 MB
4. Creating a Time Series Object in Python/3. Setting the Frequency.mp4	6.76 MB
4. Creating a Time Series Object in Python/4. Filling Missing Values.mp4	11.69 MB
4. Creating a Time Series Object in Python/5. Adding and Removing Columns in a Data Frame.mp4	6.61 MB
4. Creating a Time Series Object in Python/6. Splitting up the Data.mp4	9.72 MB
5. Working with Time Series in Python/1. White Noise.mp4	18.99 MB
5. Working with Time Series in Python/2. Random Walk.mp4	13.57 MB
5. Working with Time Series in Python/3. Stationarity.mp4	7.59 MB
5. Working with Time Series in Python/4. Determining Weak Form Stationarity.mp4	15.52 MB
5. Working with Time Series in Python/5. Seasonality.mp4	14.89 MB
5. Working with Time Series in Python/6. Correlation Between Past and Present Values.mp4	4.74 MB
5. Working with Time Series in Python/7. The ACF.mp4	14.17 MB
5. Working with Time Series in Python/8. The PACF.mp4	11.96 MB
6. Picking the Correct Model/1. A Quick Guide to Picking the Correct Model.mp4	8.14 MB
7. The Autoregressive (AR) Model/1. The AR Model.mp4	17.76 MB
7. The Autoregressive (AR) Model/10. Model Selection for Normalized Returns.mp4	8.43 MB
7. The Autoregressive (AR) Model/11. Examining the AR Model Residuals.mp4	14.10 MB
7. The Autoregressive (AR) Model/12. Unexpected Shocks from Past Periods.mp4	8.99 MB
7. The Autoregressive (AR) Model/2. Examining the ACF and PACF of Prices.mp4	14.91 MB
7. The Autoregressive (AR) Model/3. Fitting an AR(1) Model for Index Prices.mp4	13.60 MB
7. The Autoregressive (AR) Model/4. Fitting Higher Lag AR Models for Prices.mp4	26.30 MB
7. The Autoregressive (AR) Model/5. Using Returns.mp4	15.01 MB
7. The Autoregressive (AR) Model/6. Examining the ACF and PACF of Returns.mp4	7.12 MB
7. The Autoregressive (AR) Model/7. Fitting an AR(1) Model for Index Returns.mp4	6.94 MB
7. The Autoregressive (AR) Model/8. Fitting Higher Lag AR Models for Returns.mp4	13.87 MB
7. The Autoregressive (AR) Model/9. Normalizing Values.mp4	17.34 MB
8. The Moving Average (MA) Model/1. The MA Model.mp4	11.82 MB
8. The Moving Average (MA) Model/2. Fitting an MA(1) Model for Returns.mp4	10.71 MB
8. The Moving Average (MA) Model/3. Fitting Higher-Lag MA Models for Returns.mp4	24.95 MB
8. The Moving Average (MA) Model/4. Examining the MA Model Residuals for Returns.mp4	15.33 MB
8. The Moving Average (MA) Model/5. Model Selection for Normalized Returns.mp4	8.33 MB
8. The Moving Average (MA) Model/6. Fitting an MA(1) Model for Prices.mp4	13.49 MB
8. The Moving Average (MA) Model/7. Past Values and Past Errors.mp4	9.19 MB
9. The Autoregressive Moving Average (ARMA) Model/1. The ARMA Model.mp4	11.45 MB
9. The Autoregressive Moving Average (ARMA) Model/2. Fitting a Simple ARMA Model for Returns.mp4	12.18 MB
9. The Autoregressive Moving Average (ARMA) Model/3. Fitting a Higher-Lag ARMA Model for Returns - part 1.mp4	21.95 MB
9. The Autoregressive Moving Average (ARMA) Model/4. Fitting a Higher-Lag ARMA Model for Returns - part 2.mp4	17.51 MB
9. The Autoregressive Moving Average (ARMA) Model/5. Fitting a Higher-Lag ARMA Model for Returns - part 3.mp4	19.46 MB
9. The Autoregressive Moving Average (ARMA) Model/6. Examining the ARMA Model Residuals of Returns.mp4	22.65 MB
9. The Autoregressive Moving Average (ARMA) Model/7. ARMA for Prices.mp4	21.69 MB
9. The Autoregressive Moving Average (ARMA) Model/8. ARMA Models and Non-stationary Data.mp4	6.32 MB
Join Our Telegram Group For More Updates !!!.url	138.00 B
Uploaded by [Coursesghar.com].txt	1.10 kB
Visit coursesghar.com for more awesome tutorials.url	114.00 B

Description

365 Data Science - Time Series Analysis in Python [CoursesGhar]

Course description

In Data Science mainly relies on working with two types of data - cross-sectional and time series. This course will help you master the latter by introducing you to ARMA, Seasonal, Integrated, MAX and Volatility models as well as show you how to forecast them into the future.

Viktor