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Udemy - Time Series Analysis, Forecasting, and Machine Learning (12.2023)

File Name
Size
1. Welcome/1. Introduction and Outline.mp4
33 MB
1. Welcome/1. Introduction and Outline.srt
7.6 kB
1. Welcome/2. Warmup (Optional).mp4
25 MB
1. Welcome/2. Warmup (Optional).srt
6.1 kB
10. Deep Learning Recurrent Neural Networks (RNN)/1. RNN Section Introduction.mp4
20 MB
10. Deep Learning Recurrent Neural Networks (RNN)/1. RNN Section Introduction.srt
6.4 kB
10. Deep Learning Recurrent Neural Networks (RNN)/10. LSTMs for Time Series Classification in Code.mp4
44 MB
10. Deep Learning Recurrent Neural Networks (RNN)/10. LSTMs for Time Series Classification in Code.srt
5.4 kB
10. Deep Learning Recurrent Neural Networks (RNN)/11. The Unreasonable Ineffectiveness of Recurrent Neural Networks.mp4
16 MB
10. Deep Learning Recurrent Neural Networks (RNN)/11. The Unreasonable Ineffectiveness of Recurrent Neural Networks.srt
4.2 kB
10. Deep Learning Recurrent Neural Networks (RNN)/12. RNN Section Summary.mp4
16 MB
10. Deep Learning Recurrent Neural Networks (RNN)/12. RNN Section Summary.srt
3.8 kB
10. Deep Learning Recurrent Neural Networks (RNN)/2. Simple RNN Elman Unit (pt 1).mp4
39 MB
10. Deep Learning Recurrent Neural Networks (RNN)/2. Simple RNN Elman Unit (pt 1).srt
12 kB
10. Deep Learning Recurrent Neural Networks (RNN)/3. Simple RNN Elman Unit (pt 2).mp4
40 MB
10. Deep Learning Recurrent Neural Networks (RNN)/3. Simple RNN Elman Unit (pt 2).srt
13 kB
10. Deep Learning Recurrent Neural Networks (RNN)/4. Aside State Space Models vs. RNNs.mp4
19 MB
10. Deep Learning Recurrent Neural Networks (RNN)/4. Aside State Space Models vs. RNNs.srt
4.4 kB
10. Deep Learning Recurrent Neural Networks (RNN)/5. RNN Code Preparation.mp4
34 MB
10. Deep Learning Recurrent Neural Networks (RNN)/5. RNN Code Preparation.srt
11 kB
10. Deep Learning Recurrent Neural Networks (RNN)/6. RNNs Understanding by Implementing (Paying Attention to Shapes).mp4
56 MB
10. Deep Learning Recurrent Neural Networks (RNN)/6. RNNs Understanding by Implementing (Paying Attention to Shapes).srt
10 kB
10. Deep Learning Recurrent Neural Networks (RNN)/7. GRU and LSTM (pt 1).mp4
80 MB
10. Deep Learning Recurrent Neural Networks (RNN)/7. GRU and LSTM (pt 1).srt
23 kB
10. Deep Learning Recurrent Neural Networks (RNN)/8. GRU and LSTM (pt 2).mp4
50 MB
10. Deep Learning Recurrent Neural Networks (RNN)/8. GRU and LSTM (pt 2).srt
15 kB
10. Deep Learning Recurrent Neural Networks (RNN)/9. LSTMs for Time Series Forecasting in Code.mp4
198 MB
10. Deep Learning Recurrent Neural Networks (RNN)/9. LSTMs for Time Series Forecasting in Code.srt
34 kB
11. VIP GARCH/1. GARCH Section Introduction.mp4
18 MB
11. VIP GARCH/1. GARCH Section Introduction.srt
5.2 kB
11. VIP GARCH/10. GARCH Code (pt 3).mp4
44 MB
11. VIP GARCH/10. GARCH Code (pt 3).srt
7.1 kB
11. VIP GARCH/11. GARCH Code (pt 4).mp4
41 MB
11. VIP GARCH/11. GARCH Code (pt 4).srt
5.9 kB
11. VIP GARCH/12. GARCH Code (pt 5).mp4
32 MB
11. VIP GARCH/12. GARCH Code (pt 5).srt
4.1 kB
11. VIP GARCH/13. A Deep Learning Approach to GARCH.mp4
46 MB
11. VIP GARCH/13. A Deep Learning Approach to GARCH.srt
15 kB
11. VIP GARCH/14. GARCH Section Summary.mp4
31 MB
11. VIP GARCH/14. GARCH Section Summary.srt
8.7 kB
11. VIP GARCH/2. ARCH Theory (pt 1).mp4
20 MB
11. VIP GARCH/2. ARCH Theory (pt 1).srt
6.3 kB
11. VIP GARCH/3. ARCH Theory (pt 2).mp4
27 MB
11. VIP GARCH/3. ARCH Theory (pt 2).srt
9.6 kB
11. VIP GARCH/4. ARCH Theory (pt 3).mp4
20 MB
11. VIP GARCH/4. ARCH Theory (pt 3).srt
6.6 kB
11. VIP GARCH/5. GARCH Theory.mp4
28 MB
11. VIP GARCH/5. GARCH Theory.srt
9.6 kB
11. VIP GARCH/6. GARCH Code Preparation (pt 1).mp4
38 MB
11. VIP GARCH/6. GARCH Code Preparation (pt 1).srt
10 kB
11. VIP GARCH/7. GARCH Code Preparation (pt 2).mp4
40 MB
11. VIP GARCH/7. GARCH Code Preparation (pt 2).srt
10 kB
11. VIP GARCH/8. GARCH Code (pt 1).mp4
33 MB
11. VIP GARCH/8. GARCH Code (pt 1).srt
6.1 kB
11. VIP GARCH/9. GARCH Code (pt 2).mp4
52 MB
11. VIP GARCH/9. GARCH Code (pt 2).srt
8.7 kB
12. VIP AWS Forecast/1. AWS Forecast Section Introduction.mp4
44 MB
12. VIP AWS Forecast/1. AWS Forecast Section Introduction.srt
11 kB
12. VIP AWS Forecast/2. Data Model.mp4
49 MB
12. VIP AWS Forecast/2. Data Model.srt
12 kB
12. VIP AWS Forecast/3. Creating an IAM Role.mp4
24 MB
12. VIP AWS Forecast/3. Creating an IAM Role.srt
4.8 kB
12. VIP AWS Forecast/4. Code pt 1 (Getting and Transforming the Data).mp4
63 MB
12. VIP AWS Forecast/4. Code pt 1 (Getting and Transforming the Data).srt
13 kB
12. VIP AWS Forecast/5. Code pt 2 (Uploading the data to S3).mp4
91 MB
12. VIP AWS Forecast/5. Code pt 2 (Uploading the data to S3).srt
16 kB
12. VIP AWS Forecast/6. Code pt 3 (Building your Model).mp4
54 MB
12. VIP AWS Forecast/6. Code pt 3 (Building your Model).srt
9.2 kB
12. VIP AWS Forecast/7. Code pt 4 (Generating and Evaluating the Forecast).mp4
50 MB
12. VIP AWS Forecast/7. Code pt 4 (Generating and Evaluating the Forecast).srt
8.6 kB
12. VIP AWS Forecast/8. AWS Forecast Exercise.mp4
14 MB
12. VIP AWS Forecast/8. AWS Forecast Exercise.srt
3.6 kB
12. VIP AWS Forecast/9. AWS Forecast Section Summary.mp4
26 MB
12. VIP AWS Forecast/9. AWS Forecast Section Summary.srt
6.8 kB
13. VIP Facebook Prophet/1. Prophet Section Introduction.mp4
14 MB
13. VIP Facebook Prophet/1. Prophet Section Introduction.srt
4.1 kB
13. VIP Facebook Prophet/10. (The Dangers of) Prophet for Stock Price Prediction.mp4
91 MB
13. VIP Facebook Prophet/10. (The Dangers of) Prophet for Stock Price Prediction.srt
14 kB
13. VIP Facebook Prophet/11. Prophet Section Summary.mp4
14 MB
13. VIP Facebook Prophet/11. Prophet Section Summary.srt
4.5 kB
13. VIP Facebook Prophet/2. How does Prophet work.mp4
41 MB
13. VIP Facebook Prophet/2. How does Prophet work.srt
11 kB
13. VIP Facebook Prophet/3. Prophet Code Preparation.mp4
64 MB
13. VIP Facebook Prophet/3. Prophet Code Preparation.srt
16 kB
13. VIP Facebook Prophet/4. Prophet in Code Data Preparation.mp4
55 MB
13. VIP Facebook Prophet/4. Prophet in Code Data Preparation.srt
9.6 kB
13. VIP Facebook Prophet/5. Prophet in Code Fit, Forecast, Plot.mp4
55 MB
13. VIP Facebook Prophet/5. Prophet in Code Fit, Forecast, Plot.srt
9.3 kB
13. VIP Facebook Prophet/6. Prophet in Code Holidays and Exogenous Regressors.mp4
68 MB
13. VIP Facebook Prophet/6. Prophet in Code Holidays and Exogenous Regressors.srt
11 kB
13. VIP Facebook Prophet/7. Prophet in Code Cross-Validation.mp4
42 MB
13. VIP Facebook Prophet/7. Prophet in Code Cross-Validation.srt
6.1 kB
13. VIP Facebook Prophet/8. Prophet in Code Changepoint Detection.mp4
38 MB
13. VIP Facebook Prophet/8. Prophet in Code Changepoint Detection.srt
4.2 kB
13. VIP Facebook Prophet/9. Prophet Multiplicative Seasonality, Outliers, Non-Daily Data.mp4
68 MB
13. VIP Facebook Prophet/9. Prophet Multiplicative Seasonality, Outliers, Non-Daily Data.srt
9.6 kB
14. Setting Up Your Environment FAQ/1. Pre-Installation Check.mp4
23 MB
14. Setting Up Your Environment FAQ/1. Pre-Installation Check.srt
6.6 kB
14. Setting Up Your Environment FAQ/2. Anaconda Environment Setup.mp4
28 MB
14. Setting Up Your Environment FAQ/2. Anaconda Environment Setup.srt
20 kB
14. Setting Up Your Environment FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
44 MB
14. Setting Up Your Environment FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
14 kB
15. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).mp4
25 MB
15. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).srt
23 kB
15. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).mp4
49 MB
15. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).srt
13 kB
15. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.mp4
70 MB
15. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.srt
14 kB
16. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).mp4
13 MB
16. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).srt
15 kB
16. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
39 MB
16. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
32 kB
16. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
80 MB
16. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt
17 kB
16. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
108 MB
16. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt
24 kB
17. Appendix FAQ Finale/1. What is the Appendix.mp4
16 MB
17. Appendix FAQ Finale/1. What is the Appendix.srt
3.8 kB
17. Appendix FAQ Finale/2. BONUS.mp4
40 MB
2. Getting Set Up/1. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4
44 MB
2. Getting Set Up/1. Get Your Hands Dirty, Practical Coding Experience, Data Links.srt
12 kB
2. Getting Set Up/1.1 Data Links.html
157 B
2. Getting Set Up/1.2 Github Links.html
143 B
2. Getting Set Up/2. How to use Github & Extra Coding Tips (Optional).mp4
64 MB
2. Getting Set Up/2. How to use Github & Extra Coding Tips (Optional).srt
16 kB
2. Getting Set Up/3. Where to get the code, notebooks, and data.mp4
27 MB
2. Getting Set Up/3. Where to get the code, notebooks, and data.srt
6.3 kB
2. Getting Set Up/3.1 Code Link.html
125 B
2. Getting Set Up/3.2 Data Links.html
157 B
2. Getting Set Up/3.3 Github Link.html
143 B
2. Getting Set Up/4. How to Succeed in This Course.mp4
16 MB
2. Getting Set Up/4. How to Succeed in This Course.srt
4.4 kB
2. Getting Set Up/5. Temporary 403 Errors.mp4
22 MB
2. Getting Set Up/5. Temporary 403 Errors.srt
3.7 kB
3. Time Series Basics/1. Time Series Basics Section Introduction.mp4
19 MB
3. Time Series Basics/1. Time Series Basics Section Introduction.srt
6.3 kB
3. Time Series Basics/10. Price Simulations in Code.mp4
18 MB
3. Time Series Basics/10. Price Simulations in Code.srt
3.4 kB
3. Time Series Basics/11. Random Walks and the Random Walk Hypothesis.mp4
68 MB
3. Time Series Basics/11. Random Walks and the Random Walk Hypothesis.srt
19 kB
3. Time Series Basics/12. The Naive Forecast and the Importance of Baselines.mp4
30 MB
3. Time Series Basics/12. The Naive Forecast and the Importance of Baselines.srt
9.2 kB
3. Time Series Basics/13. Naive Forecast and Forecasting Metrics in Code.mp4
42 MB
3. Time Series Basics/13. Naive Forecast and Forecasting Metrics in Code.srt
8.3 kB
3. Time Series Basics/14. Time Series Basics Section Summary.mp4
12 MB
3. Time Series Basics/14. Time Series Basics Section Summary.srt
4.3 kB
3. Time Series Basics/15. Suggestion Box.mp4
27 MB
3. Time Series Basics/15. Suggestion Box.srt
4.7 kB
3. Time Series Basics/2. What is a Time Series.mp4
31 MB
3. Time Series Basics/2. What is a Time Series.srt
6.1 kB
3. Time Series Basics/3. Modeling vs. Predicting.mp4
14 MB
3. Time Series Basics/3. Modeling vs. Predicting.srt
3.4 kB
3. Time Series Basics/4. Why Do We Care About Shapes.mp4
34 MB
3. Time Series Basics/4. Why Do We Care About Shapes.srt
8.1 kB
3. Time Series Basics/5. Types of Tasks.mp4
24 MB
3. Time Series Basics/5. Types of Tasks.srt
8.9 kB
3. Time Series Basics/6. Power, Log, and Box-Cox Transformations.mp4
33 MB
3. Time Series Basics/6. Power, Log, and Box-Cox Transformations.srt
8.1 kB
3. Time Series Basics/7. Power, Log, and Box-Cox Transformations in Code.mp4
33 MB
3. Time Series Basics/7. Power, Log, and Box-Cox Transformations in Code.srt
6.8 kB
3. Time Series Basics/8. Forecasting Metrics.mp4
44 MB
3. Time Series Basics/8. Forecasting Metrics.srt
15 kB
3. Time Series Basics/9. Financial Time Series Primer.mp4
45 MB
3. Time Series Basics/9. Financial Time Series Primer.srt
15 kB
4. Exponential Smoothing and ETS Methods/1. Exponential Smoothing Section Introduction.mp4
14 MB
4. Exponential Smoothing and ETS Methods/1. Exponential Smoothing Section Introduction.srt
3.9 kB
4. Exponential Smoothing and ETS Methods/10. Holt's Linear Trend Model (Code).mp4
19 MB
4. Exponential Smoothing and ETS Methods/10. Holt's Linear Trend Model (Code).srt
3.4 kB
4. Exponential Smoothing and ETS Methods/11. Holt-Winters (Theory).mp4
48 MB
4. Exponential Smoothing and ETS Methods/11. Holt-Winters (Theory).srt
15 kB
4. Exponential Smoothing and ETS Methods/12. Holt-Winters (Code).mp4
50 MB
4. Exponential Smoothing and ETS Methods/12. Holt-Winters (Code).srt
9.6 kB
4. Exponential Smoothing and ETS Methods/13. Walk-Forward Validation.mp4
44 MB
4. Exponential Smoothing and ETS Methods/13. Walk-Forward Validation.srt
12 kB
4. Exponential Smoothing and ETS Methods/14. Walk-Forward Validation in Code.mp4
60 MB
4. Exponential Smoothing and ETS Methods/14. Walk-Forward Validation in Code.srt
10 kB
4. Exponential Smoothing and ETS Methods/15. Application Sales Data.mp4
29 MB
4. Exponential Smoothing and ETS Methods/15. Application Sales Data.srt
5.2 kB
4. Exponential Smoothing and ETS Methods/16. Application Stock Predictions.mp4
40 MB
4. Exponential Smoothing and ETS Methods/16. Application Stock Predictions.srt
6.3 kB
4. Exponential Smoothing and ETS Methods/17. SMA Application COVID-19 Counting.mp4
19 MB
4. Exponential Smoothing and ETS Methods/17. SMA Application COVID-19 Counting.srt
4.2 kB
4. Exponential Smoothing and ETS Methods/18. SMA Application Algorithmic Trading.mp4
12 MB
4. Exponential Smoothing and ETS Methods/18. SMA Application Algorithmic Trading.srt
2.8 kB
4. Exponential Smoothing and ETS Methods/19. Exponential Smoothing Section Summary.mp4
19 MB
4. Exponential Smoothing and ETS Methods/19. Exponential Smoothing Section Summary.srt
5.4 kB
4. Exponential Smoothing and ETS Methods/2. Exponential Smoothing Intuition for Beginners.mp4
24 MB
4. Exponential Smoothing and ETS Methods/2. Exponential Smoothing Intuition for Beginners.srt
7.2 kB
4. Exponential Smoothing and ETS Methods/20. (Optional) More About State-Space Models.mp4
40 MB
4. Exponential Smoothing and ETS Methods/20. (Optional) More About State-Space Models.srt
14 kB
4. Exponential Smoothing and ETS Methods/3. SMA Theory.mp4
15 MB
4. Exponential Smoothing and ETS Methods/3. SMA Theory.srt
4.8 kB
4. Exponential Smoothing and ETS Methods/4. SMA Code.mp4
54 MB
4. Exponential Smoothing and ETS Methods/4. SMA Code.srt
9.6 kB
4. Exponential Smoothing and ETS Methods/5. EWMA Theory.mp4
36 MB
4. Exponential Smoothing and ETS Methods/5. EWMA Theory.srt
15 kB
4. Exponential Smoothing and ETS Methods/6. EWMA Code.mp4
39 MB
4. Exponential Smoothing and ETS Methods/6. EWMA Code.srt
9.6 kB
4. Exponential Smoothing and ETS Methods/7. SES Theory.mp4
36 MB
4. Exponential Smoothing and ETS Methods/7. SES Theory.srt
14 kB
4. Exponential Smoothing and ETS Methods/8. SES Code.mp4
70 MB
4. Exponential Smoothing and ETS Methods/8. SES Code.srt
14 kB
4. Exponential Smoothing and ETS Methods/9. Holt's Linear Trend Model (Theory).mp4
33 MB
4. Exponential Smoothing and ETS Methods/9. Holt's Linear Trend Model (Theory).srt
10 kB
5. ARIMA/1. ARIMA Section Introduction.mp4
23 MB
5. ARIMA/1. ARIMA Section Introduction.srt
7.1 kB
5. ARIMA/10. ACF and PACF in Code (pt 1).mp4
41 MB
5. ARIMA/10. ACF and PACF in Code (pt 1).srt
9.3 kB
5. ARIMA/11. ACF and PACF in Code (pt 2).mp4
34 MB
5. ARIMA/11. ACF and PACF in Code (pt 2).srt
8.0 kB
5. ARIMA/12. Auto ARIMA and SARIMAX.mp4
39 MB
5. ARIMA/12. Auto ARIMA and SARIMAX.srt
12 kB
5. ARIMA/13. Model Selection, AIC and BIC.mp4
46 MB
5. ARIMA/13. Model Selection, AIC and BIC.srt
14 kB
5. ARIMA/14. Auto ARIMA in Code.mp4
103 MB
5. ARIMA/14. Auto ARIMA in Code.srt
16 kB
5. ARIMA/15. Auto ARIMA in Code (Stocks).mp4
105 MB
5. ARIMA/15. Auto ARIMA in Code (Stocks).srt
17 kB
5. ARIMA/16. ACF and PACF for Stock Returns.mp4
44 MB
5. ARIMA/16. ACF and PACF for Stock Returns.srt
7.5 kB
5. ARIMA/17. Auto ARIMA in Code (Sales Data).mp4
65 MB
5. ARIMA/17. Auto ARIMA in Code (Sales Data).srt
10 kB
5. ARIMA/18. How to Forecast with ARIMA.mp4
38 MB
5. ARIMA/18. How to Forecast with ARIMA.srt
12 kB
5. ARIMA/19. Forecasting Out-Of-Sample.mp4
6.7 MB
5. ARIMA/19. Forecasting Out-Of-Sample.srt
1.7 kB
5. ARIMA/2. Autoregressive Models - AR(p).mp4
53 MB
5. ARIMA/2. Autoregressive Models - AR(p).srt
17 kB
5. ARIMA/20. ARIMA Section Summary.mp4
13 MB
5. ARIMA/20. ARIMA Section Summary.srt
4.6 kB
5. ARIMA/3. Moving Average Models - MA(q).mp4
11 MB
5. ARIMA/3. Moving Average Models - MA(q).srt
4.2 kB
5. ARIMA/4. ARIMA.mp4
41 MB
5. ARIMA/4. ARIMA.srt
14 kB
5. ARIMA/5. ARIMA in Code.mp4
122 MB
5. ARIMA/5. ARIMA in Code.srt
23 kB
5. ARIMA/6. Stationarity.mp4
55 MB
5. ARIMA/6. Stationarity.srt
18 kB
5. ARIMA/7. Stationarity in Code.mp4
62 MB
5. ARIMA/7. Stationarity in Code.srt
11 kB
5. ARIMA/8. ACF (Autocorrelation Function).mp4
37 MB
5. ARIMA/8. ACF (Autocorrelation Function).srt
13 kB
5. ARIMA/9. PACF (Partial Autocorrelation Funtion).mp4
25 MB
5. ARIMA/9. PACF (Partial Autocorrelation Funtion).srt
8.0 kB
6. Vector Autoregression (VAR, VMA, VARMA)/1. Vector Autoregression Section Introduction.mp4
12 MB
6. Vector Autoregression (VAR, VMA, VARMA)/1. Vector Autoregression Section Introduction.srt
3.1 kB
6. Vector Autoregression (VAR, VMA, VARMA)/10. Converting Between Models (Optional).mp4
37 MB
6. Vector Autoregression (VAR, VMA, VARMA)/10. Converting Between Models (Optional).srt
15 kB
6. Vector Autoregression (VAR, VMA, VARMA)/11. Vector Autoregression Section Summary.mp4
19 MB
6. Vector Autoregression (VAR, VMA, VARMA)/11. Vector Autoregression Section Summary.srt
4.7 kB
6. Vector Autoregression (VAR, VMA, VARMA)/2. VAR and VARMA Theory.mp4
59 MB
6. Vector Autoregression (VAR, VMA, VARMA)/2. VAR and VARMA Theory.srt
18 kB
6. Vector Autoregression (VAR, VMA, VARMA)/3. VARMA Code (pt 1).mp4
49 MB
6. Vector Autoregression (VAR, VMA, VARMA)/3. VARMA Code (pt 1).srt
8.5 kB
6. Vector Autoregression (VAR, VMA, VARMA)/4. VARMA Code (pt 2).mp4
52 MB
6. Vector Autoregression (VAR, VMA, VARMA)/4. VARMA Code (pt 2).srt
7.1 kB
6. Vector Autoregression (VAR, VMA, VARMA)/5. VARMA Code (pt 3).mp4
45 MB
6. Vector Autoregression (VAR, VMA, VARMA)/5. VARMA Code (pt 3).srt
7.4 kB
6. Vector Autoregression (VAR, VMA, VARMA)/6. VARMA Econometrics Code (pt 1).mp4
51 MB
6. Vector Autoregression (VAR, VMA, VARMA)/6. VARMA Econometrics Code (pt 1).srt
9.7 kB
6. Vector Autoregression (VAR, VMA, VARMA)/7. VARMA Econometrics Code (pt 2).mp4
62 MB
6. Vector Autoregression (VAR, VMA, VARMA)/7. VARMA Econometrics Code (pt 2).srt
10 kB
6. Vector Autoregression (VAR, VMA, VARMA)/8. Granger Causality.mp4
22 MB
6. Vector Autoregression (VAR, VMA, VARMA)/8. Granger Causality.srt
5.3 kB
6. Vector Autoregression (VAR, VMA, VARMA)/9. Granger Causality Code.mp4
32 MB
6. Vector Autoregression (VAR, VMA, VARMA)/9. Granger Causality Code.srt
3.5 kB
7. Machine Learning Methods/1. Machine Learning Section Introduction.mp4
18 MB
7. Machine Learning Methods/1. Machine Learning Section Introduction.srt
5.3 kB
7. Machine Learning Methods/10. Forecasting with Differencing.mp4
19 MB
7. Machine Learning Methods/10. Forecasting with Differencing.srt
5.3 kB
7. Machine Learning Methods/11. Machine Learning for Time Series Forecasting in Code (pt 2).mp4
49 MB
7. Machine Learning Methods/11. Machine Learning for Time Series Forecasting in Code (pt 2).srt
6.7 kB
7. Machine Learning Methods/12. Application Sales Data.mp4
42 MB
7. Machine Learning Methods/12. Application Sales Data.srt
5.3 kB
7. Machine Learning Methods/13. Application Predicting Stock Prices and Returns.mp4
37 MB
7. Machine Learning Methods/13. Application Predicting Stock Prices and Returns.srt
4.8 kB
7. Machine Learning Methods/14. Application Predicting Stock Movements.mp4
26 MB
7. Machine Learning Methods/14. Application Predicting Stock Movements.srt
4.5 kB
7. Machine Learning Methods/15. Machine Learning Section Summary.mp4
10 MB
7. Machine Learning Methods/15. Machine Learning Section Summary.srt
3.0 kB
7. Machine Learning Methods/2. Supervised Machine Learning Classification and Regression.mp4
69 MB
7. Machine Learning Methods/2. Supervised Machine Learning Classification and Regression.srt
19 kB
7. Machine Learning Methods/3. Autoregressive Machine Learning Models.mp4
32 MB
7. Machine Learning Methods/3. Autoregressive Machine Learning Models.srt
10 kB
7. Machine Learning Methods/4. Machine Learning Algorithms Linear Regression.mp4
22 MB
7. Machine Learning Methods/4. Machine Learning Algorithms Linear Regression.srt
6.4 kB
7. Machine Learning Methods/5. Machine Learning Algorithms Logistic Regression.mp4
32 MB
7. Machine Learning Methods/5. Machine Learning Algorithms Logistic Regression.srt
9.0 kB
7. Machine Learning Methods/6. Machine Learning Algorithms Support Vector Machines.mp4
44 MB
7. Machine Learning Methods/6. Machine Learning Algorithms Support Vector Machines.srt
13 kB
7. Machine Learning Methods/7. Machine Learning Algorithms Random Forest.mp4
32 MB
7. Machine Learning Methods/7. Machine Learning Algorithms Random Forest.srt
9.1 kB
7. Machine Learning Methods/8. Extrapolation and Stock Prices.mp4
65 MB
7. Machine Learning Methods/8. Extrapolation and Stock Prices.srt
9.8 kB
7. Machine Learning Methods/9. Machine Learning for Time Series Forecasting in Code (pt 1).mp4
86 MB
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8. Deep Learning Artificial Neural Networks (ANN)/1. Artificial Neural Networks Section Introduction.mp4
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8. Deep Learning Artificial Neural Networks (ANN)/1. Artificial Neural Networks Section Introduction.srt
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8. Deep Learning Artificial Neural Networks (ANN)/10. Human Activity Recognition Dataset.mp4
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8. Deep Learning Artificial Neural Networks (ANN)/10. Human Activity Recognition Dataset.srt
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8. Deep Learning Artificial Neural Networks (ANN)/11. Human Activity Recognition Code Preparation.mp4
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8. Deep Learning Artificial Neural Networks (ANN)/11. Human Activity Recognition Code Preparation.srt
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8. Deep Learning Artificial Neural Networks (ANN)/12. Human Activity Recognition Data Exploration.mp4
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8. Deep Learning Artificial Neural Networks (ANN)/12. Human Activity Recognition Data Exploration.srt
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8. Deep Learning Artificial Neural Networks (ANN)/13. Human Activity Recognition Multi-Input ANN.mp4
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8. Deep Learning Artificial Neural Networks (ANN)/13. Human Activity Recognition Multi-Input ANN.srt
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8. Deep Learning Artificial Neural Networks (ANN)/14. Human Activity Recognition Feature-Based Model.mp4
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8. Deep Learning Artificial Neural Networks (ANN)/14. Human Activity Recognition Feature-Based Model.srt
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8. Deep Learning Artificial Neural Networks (ANN)/15. Human Activity Recognition Combined Model.mp4
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8. Deep Learning Artificial Neural Networks (ANN)/16. How Does a Neural Network Learn.mp4
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8. Deep Learning Artificial Neural Networks (ANN)/16. How Does a Neural Network Learn.srt
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8. Deep Learning Artificial Neural Networks (ANN)/17. Artificial Neural Networks Section Summary.mp4
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8. Deep Learning Artificial Neural Networks (ANN)/2. The Neuron.mp4
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8. Deep Learning Artificial Neural Networks (ANN)/3. Forward Propagation.mp4
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8. Deep Learning Artificial Neural Networks (ANN)/4. The Geometrical Picture.mp4
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8. Deep Learning Artificial Neural Networks (ANN)/4. The Geometrical Picture.srt
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8. Deep Learning Artificial Neural Networks (ANN)/5. Activation Functions.mp4
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8. Deep Learning Artificial Neural Networks (ANN)/6. Multiclass Classification.mp4
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8. Deep Learning Artificial Neural Networks (ANN)/7. ANN Code Preparation.mp4
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8. Deep Learning Artificial Neural Networks (ANN)/8. Feedforward ANN for Time Series Forecasting Code.mp4
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8. Deep Learning Artificial Neural Networks (ANN)/9. Feedforward ANN for Stock Return and Price Predictions Code.mp4
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9. Deep Learning Convolutional Neural Networks (CNN)/1. CNN Section Introduction.mp4
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9. Deep Learning Convolutional Neural Networks (CNN)/10. CNN for Human Activity Recognition.mp4
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9. Deep Learning Convolutional Neural Networks (CNN)/11. CNN Section Summary.mp4
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9. Deep Learning Convolutional Neural Networks (CNN)/11.1 Convert a Time Series Into an Image with Gramian Angular Fields and Markov Transition Fields.html
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9. Deep Learning Convolutional Neural Networks (CNN)/2. What is Convolution.mp4
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9. Deep Learning Convolutional Neural Networks (CNN)/3. What is Convolution (Pattern-Matching).mp4
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9. Deep Learning Convolutional Neural Networks (CNN)/4. What is Convolution (Weight Sharing).mp4
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9. Deep Learning Convolutional Neural Networks (CNN)/5. Convolution on Color Images.mp4
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9. Deep Learning Convolutional Neural Networks (CNN)/6. Convolution for Time Series and ARIMA.mp4
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9. Deep Learning Convolutional Neural Networks (CNN)/7. CNN Architecture.mp4
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9. Deep Learning Convolutional Neural Networks (CNN)/8. CNN Code Preparation.mp4
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9. Deep Learning Convolutional Neural Networks (CNN)/9. CNN for Time Series Forecasting in Code.mp4
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