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Time Series Analysis, Forecasting, and Machine Learning
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Time Series Analysis, Forecasting, and Machine Learning

Python for LSTMs, ARIMA, Deep Learning, AI, Support Vector Regression, +More Applied to Time Series Forecasting

Udemy Link - https://www.udemy.com/course/time-series-analysis/

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1. Welcome/1. Introduction and Outline.mp430.69 MiB
1. Welcome/1. Introduction and Outline.srt7.5 KiB
1. Welcome/2. Warmup (Optional).mp423.16 MiB
1. Welcome/2. Warmup (Optional).srt6.05 KiB
10. Deep Learning Recurrent Neural Networks (RNN)/1. RNN Section Introduction.mp420.53 MiB
10. Deep Learning Recurrent Neural Networks (RNN)/1. RNN Section Introduction.srt6.37 KiB
10. Deep Learning Recurrent Neural Networks (RNN)/10. LSTMs for Time Series Classification in Code.mp444.06 MiB
10. Deep Learning Recurrent Neural Networks (RNN)/10. LSTMs for Time Series Classification in Code.srt5.43 KiB
10. Deep Learning Recurrent Neural Networks (RNN)/11. The Unreasonable Ineffectiveness of Recurrent Neural Networks.mp415.45 MiB
10. Deep Learning Recurrent Neural Networks (RNN)/11. The Unreasonable Ineffectiveness of Recurrent Neural Networks.srt4.18 KiB
10. Deep Learning Recurrent Neural Networks (RNN)/12. RNN Section Summary.mp415.93 MiB
10. Deep Learning Recurrent Neural Networks (RNN)/12. RNN Section Summary.srt3.81 KiB
10. Deep Learning Recurrent Neural Networks (RNN)/2. Simple RNN Elman Unit (pt 1).mp438.74 MiB
10. Deep Learning Recurrent Neural Networks (RNN)/2. Simple RNN Elman Unit (pt 1).srt11.52 KiB
10. Deep Learning Recurrent Neural Networks (RNN)/3. Simple RNN Elman Unit (pt 2).mp440.01 MiB
10. Deep Learning Recurrent Neural Networks (RNN)/3. Simple RNN Elman Unit (pt 2).srt12.9 KiB
10. Deep Learning Recurrent Neural Networks (RNN)/4. Aside State Space Models vs. RNNs.mp418.62 MiB
10. Deep Learning Recurrent Neural Networks (RNN)/4. Aside State Space Models vs. RNNs.srt4.37 KiB
10. Deep Learning Recurrent Neural Networks (RNN)/5. RNN Code Preparation.mp434.15 MiB
10. Deep Learning Recurrent Neural Networks (RNN)/5. RNN Code Preparation.srt11.1 KiB
10. Deep Learning Recurrent Neural Networks (RNN)/6. RNNs Understanding by Implementing (Paying Attention to Shapes).mp455.52 MiB
10. Deep Learning Recurrent Neural Networks (RNN)/6. RNNs Understanding by Implementing (Paying Attention to Shapes).srt10.01 KiB
10. Deep Learning Recurrent Neural Networks (RNN)/7. GRU and LSTM (pt 1).mp480.02 MiB
10. Deep Learning Recurrent Neural Networks (RNN)/7. GRU and LSTM (pt 1).srt22.85 KiB
10. Deep Learning Recurrent Neural Networks (RNN)/8. GRU and LSTM (pt 2).mp450.24 MiB
10. Deep Learning Recurrent Neural Networks (RNN)/8. GRU and LSTM (pt 2).srt14.81 KiB
10. Deep Learning Recurrent Neural Networks (RNN)/9. LSTMs for Time Series Forecasting in Code.mp462.35 MiB
10. Deep Learning Recurrent Neural Networks (RNN)/9. LSTMs for Time Series Forecasting in Code.srt9.17 KiB
11. VIP GARCH/1. GARCH Section Introduction.mp418.21 MiB
11. VIP GARCH/1. GARCH Section Introduction.srt5.16 KiB
11. VIP GARCH/10. GARCH Code (pt 3).mp443.97 MiB
11. VIP GARCH/10. GARCH Code (pt 3).srt7.1 KiB
11. VIP GARCH/11. GARCH Code (pt 4).mp441.28 MiB
11. VIP GARCH/11. GARCH Code (pt 4).srt5.87 KiB
11. VIP GARCH/12. GARCH Code (pt 5).mp431.91 MiB
11. VIP GARCH/12. GARCH Code (pt 5).srt4.11 KiB
11. VIP GARCH/13. A Deep Learning Approach to GARCH.mp446.09 MiB
11. VIP GARCH/13. A Deep Learning Approach to GARCH.srt15.02 KiB
11. VIP GARCH/14. GARCH Section Summary.mp430.82 MiB
11. VIP GARCH/14. GARCH Section Summary.srt8.69 KiB
11. VIP GARCH/2. ARCH Theory (pt 1).mp419.52 MiB
11. VIP GARCH/2. ARCH Theory (pt 1).srt6.33 KiB
11. VIP GARCH/3. ARCH Theory (pt 2).mp427.16 MiB
11. VIP GARCH/3. ARCH Theory (pt 2).srt9.58 KiB
11. VIP GARCH/4. ARCH Theory (pt 3).mp419.54 MiB
11. VIP GARCH/4. ARCH Theory (pt 3).srt6.64 KiB
11. VIP GARCH/5. GARCH Theory.mp427.48 MiB
11. VIP GARCH/5. GARCH Theory.srt9.61 KiB
11. VIP GARCH/6. GARCH Code Preparation (pt 1).mp437.93 MiB
11. VIP GARCH/6. GARCH Code Preparation (pt 1).srt10.47 KiB
11. VIP GARCH/7. GARCH Code Preparation (pt 2).mp440.01 MiB
11. VIP GARCH/7. GARCH Code Preparation (pt 2).srt10.35 KiB
11. VIP GARCH/8. GARCH Code (pt 1).mp433.26 MiB
11. VIP GARCH/8. GARCH Code (pt 1).srt6.11 KiB
11. VIP GARCH/9. GARCH Code (pt 2).mp451.93 MiB
11. VIP GARCH/9. GARCH Code (pt 2).srt8.68 KiB
12. VIP AWS Forecast/1. AWS Forecast Section Introduction.mp443.54 MiB
12. VIP AWS Forecast/1. AWS Forecast Section Introduction.srt10.63 KiB
12. VIP AWS Forecast/2. Data Model.mp448.97 MiB
12. VIP AWS Forecast/2. Data Model.srt12.23 KiB
12. VIP AWS Forecast/3. Creating an IAM Role.mp423.8 MiB
12. VIP AWS Forecast/3. Creating an IAM Role.srt4.8 KiB
12. VIP AWS Forecast/4. Code pt 1 (Getting and Transforming the Data).mp463.35 MiB
12. VIP AWS Forecast/4. Code pt 1 (Getting and Transforming the Data).srt12.88 KiB
12. VIP AWS Forecast/5. Code pt 2 (Uploading the data to S3).mp491.06 MiB
12. VIP AWS Forecast/5. Code pt 2 (Uploading the data to S3).srt16.43 KiB
12. VIP AWS Forecast/6. Code pt 3 (Building your Model).mp454.47 MiB
12. VIP AWS Forecast/6. Code pt 3 (Building your Model).srt9.24 KiB
12. VIP AWS Forecast/7. Code pt 4 (Generating and Evaluating the Forecast).mp449.89 MiB
12. VIP AWS Forecast/7. Code pt 4 (Generating and Evaluating the Forecast).srt8.65 KiB
12. VIP AWS Forecast/8. AWS Forecast Exercise.mp413.76 MiB
12. VIP AWS Forecast/8. AWS Forecast Exercise.srt3.65 KiB
12. VIP AWS Forecast/9. AWS Forecast Section Summary.mp425.46 MiB
12. VIP AWS Forecast/9. AWS Forecast Section Summary.srt6.81 KiB
13. VIP Facebook Prophet/1. Prophet Section Introduction.mp414.45 MiB
13. VIP Facebook Prophet/1. Prophet Section Introduction.srt4.12 KiB
13. VIP Facebook Prophet/10. (The Dangers of) Prophet for Stock Price Prediction.mp490.95 MiB
13. VIP Facebook Prophet/10. (The Dangers of) Prophet for Stock Price Prediction.srt13.99 KiB
13. VIP Facebook Prophet/11. Prophet Section Summary.mp413.47 MiB
13. VIP Facebook Prophet/11. Prophet Section Summary.srt4.5 KiB
13. VIP Facebook Prophet/2. How does Prophet work.mp440.75 MiB
13. VIP Facebook Prophet/2. How does Prophet work.srt10.8 KiB
13. VIP Facebook Prophet/3. Prophet Code Preparation.mp463.9 MiB
13. VIP Facebook Prophet/3. Prophet Code Preparation.srt16.17 KiB
13. VIP Facebook Prophet/4. Prophet in Code Data Preparation.mp454.73 MiB
13. VIP Facebook Prophet/4. Prophet in Code Data Preparation.srt9.64 KiB
13. VIP Facebook Prophet/5. Prophet in Code Fit, Forecast, Plot.mp455.22 MiB
13. VIP Facebook Prophet/5. Prophet in Code Fit, Forecast, Plot.srt9.32 KiB
13. VIP Facebook Prophet/6. Prophet in Code Holidays and Exogenous Regressors.mp467.92 MiB
13. VIP Facebook Prophet/6. Prophet in Code Holidays and Exogenous Regressors.srt11.34 KiB
13. VIP Facebook Prophet/7. Prophet in Code Cross-Validation.mp441.94 MiB
13. VIP Facebook Prophet/7. Prophet in Code Cross-Validation.srt6.06 KiB
13. VIP Facebook Prophet/8. Prophet in Code Changepoint Detection.mp437.96 MiB
13. VIP Facebook Prophet/8. Prophet in Code Changepoint Detection.srt4.23 KiB
13. VIP Facebook Prophet/9. Prophet Multiplicative Seasonality, Outliers, Non-Daily Data.mp467.79 MiB
13. VIP Facebook Prophet/9. Prophet Multiplicative Seasonality, Outliers, Non-Daily Data.srt9.62 KiB
13. VIP Facebook Prophet/GetFreeCourses.Co.url116 B
13. VIP Facebook Prophet/How you can help GetFreeCourses.Co.txt182 B
14. Setting Up Your Environment FAQ/1. Anaconda Environment Setup.mp427.88 MiB
14. Setting Up Your Environment FAQ/1. Anaconda Environment Setup.srt20.26 KiB
14. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.61 MiB
14. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt14.24 KiB
15. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).mp424.59 MiB
15. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).srt22.61 KiB
15. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).mp449.18 MiB
15. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).srt13.18 KiB
15. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.mp469.51 MiB
15. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.srt14.05 KiB
16. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).mp412.6 MiB
16. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).srt14.63 KiB
16. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.95 MiB
16. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt31.86 KiB
16. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp479.62 MiB
16. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt16.77 KiB
16. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4108.19 MiB
16. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt23.55 KiB
17. Appendix FAQ Finale/1. What is the Appendix.mp416.4 MiB
17. Appendix FAQ Finale/1. What is the Appendix.srt3.77 KiB
17. Appendix FAQ Finale/2. BONUS Lecture.mp437.85 MiB
17. Appendix FAQ Finale/2. BONUS Lecture.srt7.87 KiB
2. Getting Set Up/1. Where to Get the Code.mp440.55 MiB
2. Getting Set Up/1. Where to Get the Code.srt10.5 KiB
2. Getting Set Up/1.1 Data Links.html157 B
2. Getting Set Up/1.2 Github Link.html143 B
2. Getting Set Up/2. How to use Github & Extra Coding Tips (Optional).mp450.87 MiB
2. Getting Set Up/2. How to use Github & Extra Coding Tips (Optional).srt12.94 KiB
3. Time Series Basics/1. Time Series Basics Section Introduction.mp417.46 MiB
3. Time Series Basics/1. Time Series Basics Section Introduction.srt5.88 KiB
3. Time Series Basics/10. Price Simulations in Code.mp418.28 MiB
3. Time Series Basics/10. Price Simulations in Code.srt3.42 KiB
3. Time Series Basics/11. Random Walks and the Random Walk Hypothesis.mp468.11 MiB
3. Time Series Basics/11. Random Walks and the Random Walk Hypothesis.srt19.37 KiB
3. Time Series Basics/12. The Naive Forecast and the Importance of Baselines.mp430.11 MiB
3. Time Series Basics/12. The Naive Forecast and the Importance of Baselines.srt9.22 KiB
3. Time Series Basics/13. Naive Forecast and Forecasting Metrics in Code.mp441.47 MiB
3. Time Series Basics/13. Naive Forecast and Forecasting Metrics in Code.srt8.27 KiB
3. Time Series Basics/14. Time Series Basics Section Summary.mp412.13 MiB
3. Time Series Basics/14. Time Series Basics Section Summary.srt4.33 KiB
3. Time Series Basics/15. Suggestion Box.mp427.16 MiB
3. Time Series Basics/15. Suggestion Box.srt4.75 KiB
3. Time Series Basics/2. What is a Time Series.mp432.25 MiB
3. Time Series Basics/2. What is a Time Series.srt6.34 KiB
3. Time Series Basics/3. Modeling vs. Predicting.mp413.49 MiB
3. Time Series Basics/3. Modeling vs. Predicting.srt3.27 KiB
3. Time Series Basics/4. Why Do We Care About Shapes.mp429.49 MiB
3. Time Series Basics/4. Why Do We Care About Shapes.srt7.65 KiB
3. Time Series Basics/5. Types of Tasks.mp423.56 MiB
3. Time Series Basics/5. Types of Tasks.srt8.88 KiB
3. Time Series Basics/6. Power, Log, and Box-Cox Transformations.mp432.63 MiB
3. Time Series Basics/6. Power, Log, and Box-Cox Transformations.srt8.1 KiB
3. Time Series Basics/7. Power, Log, and Box-Cox Transformations in Code.mp433.29 MiB
3. Time Series Basics/7. Power, Log, and Box-Cox Transformations in Code.srt6.81 KiB
3. Time Series Basics/8. Forecasting Metrics.mp443.7 MiB
3. Time Series Basics/8. Forecasting Metrics.srt15.23 KiB
3. Time Series Basics/9. Financial Time Series Primer.mp444.87 MiB
3. Time Series Basics/9. Financial Time Series Primer.srt15.01 KiB
4. Exponential Smoothing and ETS Methods/1. Exponential Smoothing Section Introduction.mp413.57 MiB
4. Exponential Smoothing and ETS Methods/1. Exponential Smoothing Section Introduction.srt3.87 KiB
4. Exponential Smoothing and ETS Methods/10. Holt's Linear Trend Model (Code).mp419.06 MiB
4. Exponential Smoothing and ETS Methods/10. Holt's Linear Trend Model (Code).srt3.44 KiB
4. Exponential Smoothing and ETS Methods/11. Holt-Winters (Theory).mp447.56 MiB
4. Exponential Smoothing and ETS Methods/11. Holt-Winters (Theory).srt15 KiB
4. Exponential Smoothing and ETS Methods/12. Holt-Winters (Code).mp449.81 MiB
4. Exponential Smoothing and ETS Methods/12. Holt-Winters (Code).srt9.57 KiB
4. Exponential Smoothing and ETS Methods/13. Walk-Forward Validation.mp444.31 MiB
4. Exponential Smoothing and ETS Methods/13. Walk-Forward Validation.srt12.33 KiB
4. Exponential Smoothing and ETS Methods/14. Walk-Forward Validation in Code.mp460.26 MiB
4. Exponential Smoothing and ETS Methods/14. Walk-Forward Validation in Code.srt10.05 KiB
4. Exponential Smoothing and ETS Methods/15. Application Sales Data.mp429.44 MiB
4. Exponential Smoothing and ETS Methods/15. Application Sales Data.srt5.21 KiB
4. Exponential Smoothing and ETS Methods/16. Application Stock Predictions.mp440.52 MiB
4. Exponential Smoothing and ETS Methods/16. Application Stock Predictions.srt6.31 KiB
4. Exponential Smoothing and ETS Methods/17. SMA Application COVID-19 Counting.mp419.38 MiB
4. Exponential Smoothing and ETS Methods/17. SMA Application COVID-19 Counting.srt4.21 KiB
4. Exponential Smoothing and ETS Methods/18. SMA Application Algorithmic Trading.mp411.59 MiB
4. Exponential Smoothing and ETS Methods/18. SMA Application Algorithmic Trading.srt2.85 KiB
4. Exponential Smoothing and ETS Methods/19. Exponential Smoothing Section Summary.mp419.12 MiB
4. Exponential Smoothing and ETS Methods/19. Exponential Smoothing Section Summary.srt5.41 KiB
4. Exponential Smoothing and ETS Methods/2. Exponential Smoothing Intuition for Beginners.mp423.92 MiB
4. Exponential Smoothing and ETS Methods/2. Exponential Smoothing Intuition for Beginners.srt7.24 KiB
4. Exponential Smoothing and ETS Methods/20. (Optional) More About State-Space Models.mp440.17 MiB
4. Exponential Smoothing and ETS Methods/20. (Optional) More About State-Space Models.srt14.29 KiB
4. Exponential Smoothing and ETS Methods/3. SMA Theory.mp415.24 MiB
4. Exponential Smoothing and ETS Methods/3. SMA Theory.srt4.84 KiB
4. Exponential Smoothing and ETS Methods/4. SMA Code.mp454.09 MiB
4. Exponential Smoothing and ETS Methods/4. SMA Code.srt9.65 KiB
4. Exponential Smoothing and ETS Methods/5. EWMA Theory.mp435.83 MiB
4. Exponential Smoothing and ETS Methods/5. EWMA Theory.srt14.6 KiB
4. Exponential Smoothing and ETS Methods/6. EWMA Code.mp439.41 MiB
4. Exponential Smoothing and ETS Methods/6. EWMA Code.srt9.57 KiB
4. Exponential Smoothing and ETS Methods/7. SES Theory.mp435.58 MiB
4. Exponential Smoothing and ETS Methods/7. SES Theory.srt13.85 KiB
4. Exponential Smoothing and ETS Methods/8. SES Code.mp469.54 MiB
4. Exponential Smoothing and ETS Methods/8. SES Code.srt14.53 KiB
4. Exponential Smoothing and ETS Methods/9. Holt's Linear Trend Model (Theory).mp433.2 MiB
4. Exponential Smoothing and ETS Methods/9. Holt's Linear Trend Model (Theory).srt10.08 KiB
4. Exponential Smoothing and ETS Methods/GetFreeCourses.Co.url116 B
4. Exponential Smoothing and ETS Methods/How you can help GetFreeCourses.Co.txt182 B
5. ARIMA/1. ARIMA Section Introduction.mp423.01 MiB
5. ARIMA/1. ARIMA Section Introduction.srt7.15 KiB
5. ARIMA/10. ACF and PACF in Code (pt 1).mp441.32 MiB
5. ARIMA/10. ACF and PACF in Code (pt 1).srt9.34 KiB
5. ARIMA/11. ACF and PACF in Code (pt 2).mp433.88 MiB
5. ARIMA/11. ACF and PACF in Code (pt 2).srt8.02 KiB
5. ARIMA/12. Auto ARIMA and SARIMAX.mp439.46 MiB
5. ARIMA/12. Auto ARIMA and SARIMAX.srt12.28 KiB
5. ARIMA/13. Model Selection, AIC and BIC.mp445.91 MiB
5. ARIMA/13. Model Selection, AIC and BIC.srt13.45 KiB
5. ARIMA/14. Auto ARIMA in Code.mp4103.19 MiB
5. ARIMA/14. Auto ARIMA in Code.srt15.74 KiB
5. ARIMA/15. Auto ARIMA in Code (Stocks).mp4105.21 MiB
5. ARIMA/15. Auto ARIMA in Code (Stocks).srt17.09 KiB
5. ARIMA/16. ACF and PACF for Stock Returns.mp443.5 MiB
5. ARIMA/16. ACF and PACF for Stock Returns.srt7.48 KiB
5. ARIMA/17. Auto ARIMA in Code (Sales Data).mp465.43 MiB
5. ARIMA/17. Auto ARIMA in Code (Sales Data).srt10.16 KiB
5. ARIMA/18. How to Forecast with ARIMA.mp437.95 MiB
5. ARIMA/18. How to Forecast with ARIMA.srt12.14 KiB
5. ARIMA/19. Forecasting Out-Of-Sample.mp46.73 MiB
5. ARIMA/19. Forecasting Out-Of-Sample.srt1.67 KiB
5. ARIMA/2. Autoregressive Models - AR(p).mp452.54 MiB
5. ARIMA/2. Autoregressive Models - AR(p).srt16.67 KiB
5. ARIMA/20. ARIMA Section Summary.mp412.74 MiB
5. ARIMA/20. ARIMA Section Summary.srt4.57 KiB
5. ARIMA/3. Moving Average Models - MA(q).mp410.91 MiB
5. ARIMA/3. Moving Average Models - MA(q).srt4.24 KiB
5. ARIMA/4. ARIMA.mp441.39 MiB
5. ARIMA/4. ARIMA.srt13.8 KiB
5. ARIMA/5. ARIMA in Code.mp4121.58 MiB
5. ARIMA/5. ARIMA in Code.srt22.87 KiB
5. ARIMA/6. Stationarity.mp455.16 MiB
5. ARIMA/6. Stationarity.srt17.53 KiB
5. ARIMA/7. Stationarity in Code.mp461.5 MiB
5. ARIMA/7. Stationarity in Code.srt10.76 KiB
5. ARIMA/8. ACF (Autocorrelation Function).mp437 MiB
5. ARIMA/8. ACF (Autocorrelation Function).srt12.98 KiB
5. ARIMA/9. PACF (Partial Autocorrelation Funtion).mp425.11 MiB
5. ARIMA/9. PACF (Partial Autocorrelation Funtion).srt7.97 KiB
6. Vector Autoregression (VAR, VMA, VARMA)/1. Vector Autoregression Section Introduction.mp412.35 MiB
6. Vector Autoregression (VAR, VMA, VARMA)/1. Vector Autoregression Section Introduction.srt3.12 KiB
6. Vector Autoregression (VAR, VMA, VARMA)/10. Converting Between Models (Optional).mp437.15 MiB
6. Vector Autoregression (VAR, VMA, VARMA)/10. Converting Between Models (Optional).srt14.73 KiB
6. Vector Autoregression (VAR, VMA, VARMA)/11. Vector Autoregression Section Summary.mp418.69 MiB
6. Vector Autoregression (VAR, VMA, VARMA)/11. Vector Autoregression Section Summary.srt4.67 KiB
6. Vector Autoregression (VAR, VMA, VARMA)/2. VAR and VARMA Theory.mp459.22 MiB
6. Vector Autoregression (VAR, VMA, VARMA)/2. VAR and VARMA Theory.srt17.74 KiB
6. Vector Autoregression (VAR, VMA, VARMA)/3. VARMA Code (pt 1).mp449.32 MiB
6. Vector Autoregression (VAR, VMA, VARMA)/3. VARMA Code (pt 1).srt8.54 KiB
6. Vector Autoregression (VAR, VMA, VARMA)/4. VARMA Code (pt 2).mp452.25 MiB
6. Vector Autoregression (VAR, VMA, VARMA)/4. VARMA Code (pt 2).srt7.06 KiB
6. Vector Autoregression (VAR, VMA, VARMA)/5. VARMA Code (pt 3).mp445.43 MiB
6. Vector Autoregression (VAR, VMA, VARMA)/5. VARMA Code (pt 3).srt7.39 KiB
6. Vector Autoregression (VAR, VMA, VARMA)/6. VARMA Econometrics Code (pt 1).mp450.84 MiB
6. Vector Autoregression (VAR, VMA, VARMA)/6. VARMA Econometrics Code (pt 1).srt9.71 KiB
6. Vector Autoregression (VAR, VMA, VARMA)/7. VARMA Econometrics Code (pt 2).mp461.6 MiB
6. Vector Autoregression (VAR, VMA, VARMA)/7. VARMA Econometrics Code (pt 2).srt10.46 KiB
6. Vector Autoregression (VAR, VMA, VARMA)/8. Granger Causality.mp422.42 MiB
6. Vector Autoregression (VAR, VMA, VARMA)/8. Granger Causality.srt5.29 KiB
6. Vector Autoregression (VAR, VMA, VARMA)/9. Granger Causality Code.mp432 MiB
6. Vector Autoregression (VAR, VMA, VARMA)/9. Granger Causality Code.srt3.47 KiB
7. Machine Learning Methods/1. Machine Learning Section Introduction.mp417.53 MiB
7. Machine Learning Methods/1. Machine Learning Section Introduction.srt5.33 KiB
7. Machine Learning Methods/10. Forecasting with Differencing.mp418.97 MiB
7. Machine Learning Methods/10. Forecasting with Differencing.srt5.29 KiB
7. Machine Learning Methods/11. Machine Learning for Time Series Forecasting in Code (pt 2).mp449.4 MiB
7. Machine Learning Methods/11. Machine Learning for Time Series Forecasting in Code (pt 2).srt6.65 KiB
7. Machine Learning Methods/12. Application Sales Data.mp442.19 MiB
7. Machine Learning Methods/12. Application Sales Data.srt5.32 KiB
7. Machine Learning Methods/13. Application Predicting Stock Prices and Returns.mp437.36 MiB
7. Machine Learning Methods/13. Application Predicting Stock Prices and Returns.srt4.83 KiB
7. Machine Learning Methods/14. Application Predicting Stock Movements.mp426.28 MiB
7. Machine Learning Methods/14. Application Predicting Stock Movements.srt4.49 KiB
7. Machine Learning Methods/15. Machine Learning Section Summary.mp410.36 MiB
7. Machine Learning Methods/15. Machine Learning Section Summary.srt3.01 KiB
7. Machine Learning Methods/2. Supervised Machine Learning Classification and Regression.mp468.96 MiB
7. Machine Learning Methods/2. Supervised Machine Learning Classification and Regression.srt18.94 KiB
7. Machine Learning Methods/3. Autoregressive Machine Learning Models.mp432.38 MiB
7. Machine Learning Methods/3. Autoregressive Machine Learning Models.srt10.13 KiB
7. Machine Learning Methods/4. Machine Learning Algorithms Linear Regression.mp421.8 MiB
7. Machine Learning Methods/4. Machine Learning Algorithms Linear Regression.srt6.45 KiB
7. Machine Learning Methods/5. Machine Learning Algorithms Logistic Regression.mp431.74 MiB
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