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Time Series Analysis, Forecasting, and Machine Learning

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1. Welcome

1. Introduction and Outline.mp4	MP4	30.69 MB
1. Introduction and Outline.srt	SRT	7.5 KB
2. Warmup (Optional).mp4	MP4	23.16 MB
2. Warmup (Optional).srt	SRT	6.05 KB

10. Deep Learning Recurrent Neural Networks (RNN)

1. RNN Section Introduction.mp4	MP4	20.53 MB
1. RNN Section Introduction.srt	SRT	6.37 KB
10. LSTMs for Time Series Classification in Code.mp4	MP4	44.06 MB
10. LSTMs for Time Series Classification in Code.srt	SRT	5.43 KB
11. The Unreasonable Ineffectiveness of Recurrent Neural Networks.mp4	MP4	15.45 MB
11. The Unreasonable Ineffectiveness of Recurrent Neural Networks.srt	SRT	4.18 KB
12. RNN Section Summary.mp4	MP4	15.93 MB
12. RNN Section Summary.srt	SRT	3.81 KB
2. Simple RNN Elman Unit (pt 1).mp4	MP4	38.74 MB
2. Simple RNN Elman Unit (pt 1).srt	SRT	11.52 KB
3. Simple RNN Elman Unit (pt 2).mp4	MP4	40.01 MB
3. Simple RNN Elman Unit (pt 2).srt	SRT	12.9 KB
4. Aside State Space Models vs. RNNs.mp4	MP4	18.62 MB
4. Aside State Space Models vs. RNNs.srt	SRT	4.37 KB
5. RNN Code Preparation.mp4	MP4	34.15 MB
5. RNN Code Preparation.srt	SRT	11.1 KB
6. RNNs Understanding by Implementing (Paying Attention to Shapes).mp4	MP4	55.52 MB
6. RNNs Understanding by Implementing (Paying Attention to Shapes).srt	SRT	10.01 KB
7. GRU and LSTM (pt 1).mp4	MP4	80.02 MB
7. GRU and LSTM (pt 1).srt	SRT	22.85 KB
8. GRU and LSTM (pt 2).mp4	MP4	50.24 MB
8. GRU and LSTM (pt 2).srt	SRT	14.81 KB
9. LSTMs for Time Series Forecasting in Code.mp4	MP4	62.35 MB
9. LSTMs for Time Series Forecasting in Code.srt	SRT	9.17 KB

11. VIP GARCH

1. GARCH Section Introduction.mp4	MP4	18.21 MB
1. GARCH Section Introduction.srt	SRT	5.16 KB
10. GARCH Code (pt 3).mp4	MP4	43.97 MB
10. GARCH Code (pt 3).srt	SRT	7.1 KB
11. GARCH Code (pt 4).mp4	MP4	41.28 MB
11. GARCH Code (pt 4).srt	SRT	5.87 KB
12. GARCH Code (pt 5).mp4	MP4	31.91 MB
12. GARCH Code (pt 5).srt	SRT	4.11 KB
13. A Deep Learning Approach to GARCH.mp4	MP4	46.09 MB
13. A Deep Learning Approach to GARCH.srt	SRT	15.02 KB
14. GARCH Section Summary.mp4	MP4	30.82 MB
14. GARCH Section Summary.srt	SRT	8.69 KB
2. ARCH Theory (pt 1).mp4	MP4	19.52 MB
2. ARCH Theory (pt 1).srt	SRT	6.33 KB
3. ARCH Theory (pt 2).mp4	MP4	27.16 MB
3. ARCH Theory (pt 2).srt	SRT	9.58 KB
4. ARCH Theory (pt 3).mp4	MP4	19.54 MB
4. ARCH Theory (pt 3).srt	SRT	6.64 KB
5. GARCH Theory.mp4	MP4	27.48 MB
5. GARCH Theory.srt	SRT	9.61 KB
6. GARCH Code Preparation (pt 1).mp4	MP4	37.93 MB
6. GARCH Code Preparation (pt 1).srt	SRT	10.47 KB
7. GARCH Code Preparation (pt 2).mp4	MP4	40.01 MB
7. GARCH Code Preparation (pt 2).srt	SRT	10.35 KB
8. GARCH Code (pt 1).mp4	MP4	33.26 MB
8. GARCH Code (pt 1).srt	SRT	6.11 KB
9. GARCH Code (pt 2).mp4	MP4	51.93 MB
9. GARCH Code (pt 2).srt	SRT	8.68 KB

12. VIP AWS Forecast

1. AWS Forecast Section Introduction.mp4	MP4	43.54 MB
1. AWS Forecast Section Introduction.srt	SRT	10.63 KB
2. Data Model.mp4	MP4	48.97 MB
2. Data Model.srt	SRT	12.23 KB
3. Creating an IAM Role.mp4	MP4	23.8 MB
3. Creating an IAM Role.srt	SRT	4.8 KB
4. Code pt 1 (Getting and Transforming the Data).mp4	MP4	63.35 MB
4. Code pt 1 (Getting and Transforming the Data).srt	SRT	12.88 KB
5. Code pt 2 (Uploading the data to S3).mp4	MP4	91.06 MB
5. Code pt 2 (Uploading the data to S3).srt	SRT	16.43 KB
6. Code pt 3 (Building your Model).mp4	MP4	54.47 MB
6. Code pt 3 (Building your Model).srt	SRT	9.24 KB
7. Code pt 4 (Generating and Evaluating the Forecast).mp4	MP4	49.89 MB
7. Code pt 4 (Generating and Evaluating the Forecast).srt	SRT	8.65 KB
8. AWS Forecast Exercise.mp4	MP4	13.76 MB
8. AWS Forecast Exercise.srt	SRT	3.65 KB
9. AWS Forecast Section Summary.mp4	MP4	25.46 MB
9. AWS Forecast Section Summary.srt	SRT	6.81 KB

13. VIP Facebook Prophet

1. Prophet Section Introduction.mp4	MP4	14.45 MB
1. Prophet Section Introduction.srt	SRT	4.12 KB
10. (The Dangers of) Prophet for Stock Price Prediction.mp4	MP4	90.95 MB
10. (The Dangers of) Prophet for Stock Price Prediction.srt	SRT	13.99 KB
11. Prophet Section Summary.mp4	MP4	13.47 MB
11. Prophet Section Summary.srt	SRT	4.5 KB
2. How does Prophet work.mp4	MP4	40.75 MB
2. How does Prophet work.srt	SRT	10.8 KB
3. Prophet Code Preparation.mp4	MP4	63.9 MB
3. Prophet Code Preparation.srt	SRT	16.17 KB
4. Prophet in Code Data Preparation.mp4	MP4	54.73 MB
4. Prophet in Code Data Preparation.srt	SRT	9.64 KB
5. Prophet in Code Fit, Forecast, Plot.mp4	MP4	55.22 MB
5. Prophet in Code Fit, Forecast, Plot.srt	SRT	9.32 KB
6. Prophet in Code Holidays and Exogenous Regressors.mp4	MP4	67.92 MB
6. Prophet in Code Holidays and Exogenous Regressors.srt	SRT	11.34 KB
7. Prophet in Code Cross-Validation.mp4	MP4	41.94 MB
7. Prophet in Code Cross-Validation.srt	SRT	6.06 KB
8. Prophet in Code Changepoint Detection.mp4	MP4	37.96 MB
8. Prophet in Code Changepoint Detection.srt	SRT	4.23 KB
9. Prophet Multiplicative Seasonality, Outliers, Non-Daily Data.mp4	MP4	67.79 MB
9. Prophet Multiplicative Seasonality, Outliers, Non-Daily Data.srt	SRT	9.62 KB
GetFreeCourses.Co.url	URL	116 B
How you can help GetFreeCourses.Co.txt	TXT	182 B

14. Setting Up Your Environment FAQ

1. Anaconda Environment Setup.mp4	MP4	27.88 MB
1. Anaconda Environment Setup.srt	SRT	20.26 KB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	MP4	43.61 MB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	SRT	14.24 KB

15. Extra Help With Python Coding for Beginners FAQ

1. How to Code by Yourself (part 1).mp4	MP4	24.59 MB
1. How to Code by Yourself (part 1).srt	SRT	22.61 KB
2. How to Code by Yourself (part 2).mp4	MP4	49.18 MB
2. How to Code by Yourself (part 2).srt	SRT	13.18 KB
3. Proof that using Jupyter Notebook is the same as not using it.mp4	MP4	69.51 MB
3. Proof that using Jupyter Notebook is the same as not using it.srt	SRT	14.05 KB

16. Effective Learning Strategies for Machine Learning FAQ

1. How to Succeed in this Course (Long Version).mp4	MP4	12.6 MB
1. How to Succeed in this Course (Long Version).srt	SRT	14.63 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	MP4	38.95 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt	SRT	31.86 KB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4	MP4	79.62 MB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt	SRT	16.77 KB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4	MP4	108.19 MB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt	SRT	23.55 KB

17. Appendix FAQ Finale

1. What is the Appendix.mp4	MP4	16.4 MB
1. What is the Appendix.srt	SRT	3.77 KB
2. BONUS Lecture.mp4	MP4	37.85 MB
2. BONUS Lecture.srt	SRT	7.87 KB

2. Getting Set Up

1. Where to Get the Code.mp4	MP4	40.55 MB
1. Where to Get the Code.srt	SRT	10.5 KB
1.1 Data Links.html	HTML	157 B
1.2 Github Link.html	HTML	143 B
2. How to use Github & Extra Coding Tips (Optional).mp4	MP4	50.87 MB
2. How to use Github & Extra Coding Tips (Optional).srt	SRT	12.94 KB

3. Time Series Basics

1. Time Series Basics Section Introduction.mp4	MP4	17.46 MB
1. Time Series Basics Section Introduction.srt	SRT	5.88 KB
10. Price Simulations in Code.mp4	MP4	18.28 MB
10. Price Simulations in Code.srt	SRT	3.42 KB
11. Random Walks and the Random Walk Hypothesis.mp4	MP4	68.11 MB
11. Random Walks and the Random Walk Hypothesis.srt	SRT	19.37 KB
12. The Naive Forecast and the Importance of Baselines.mp4	MP4	30.11 MB
12. The Naive Forecast and the Importance of Baselines.srt	SRT	9.22 KB
13. Naive Forecast and Forecasting Metrics in Code.mp4	MP4	41.47 MB
13. Naive Forecast and Forecasting Metrics in Code.srt	SRT	8.27 KB
14. Time Series Basics Section Summary.mp4	MP4	12.13 MB
14. Time Series Basics Section Summary.srt	SRT	4.33 KB
15. Suggestion Box.mp4	MP4	27.16 MB
15. Suggestion Box.srt	SRT	4.75 KB
2. What is a Time Series.mp4	MP4	32.25 MB
2. What is a Time Series.srt	SRT	6.34 KB
3. Modeling vs. Predicting.mp4	MP4	13.49 MB
3. Modeling vs. Predicting.srt	SRT	3.27 KB
4. Why Do We Care About Shapes.mp4	MP4	29.49 MB
4. Why Do We Care About Shapes.srt	SRT	7.65 KB
5. Types of Tasks.mp4	MP4	23.56 MB
5. Types of Tasks.srt	SRT	8.88 KB
6. Power, Log, and Box-Cox Transformations.mp4	MP4	32.63 MB
6. Power, Log, and Box-Cox Transformations.srt	SRT	8.1 KB
7. Power, Log, and Box-Cox Transformations in Code.mp4	MP4	33.29 MB
7. Power, Log, and Box-Cox Transformations in Code.srt	SRT	6.81 KB
8. Forecasting Metrics.mp4	MP4	43.7 MB
8. Forecasting Metrics.srt	SRT	15.23 KB
9. Financial Time Series Primer.mp4	MP4	44.87 MB
9. Financial Time Series Primer.srt	SRT	15.01 KB

4. Exponential Smoothing and ETS Methods

1. Exponential Smoothing Section Introduction.mp4	MP4	13.57 MB
1. Exponential Smoothing Section Introduction.srt	SRT	3.87 KB
10. Holt's Linear Trend Model (Code).mp4	MP4	19.06 MB
10. Holt's Linear Trend Model (Code).srt	SRT	3.44 KB
11. Holt-Winters (Theory).mp4	MP4	47.56 MB
11. Holt-Winters (Theory).srt	SRT	15 KB
12. Holt-Winters (Code).mp4	MP4	49.81 MB
12. Holt-Winters (Code).srt	SRT	9.57 KB
13. Walk-Forward Validation.mp4	MP4	44.31 MB
13. Walk-Forward Validation.srt	SRT	12.33 KB
14. Walk-Forward Validation in Code.mp4	MP4	60.26 MB
14. Walk-Forward Validation in Code.srt	SRT	10.05 KB
15. Application Sales Data.mp4	MP4	29.44 MB
15. Application Sales Data.srt	SRT	5.21 KB
16. Application Stock Predictions.mp4	MP4	40.52 MB
16. Application Stock Predictions.srt	SRT	6.31 KB
17. SMA Application COVID-19 Counting.mp4	MP4	19.38 MB
17. SMA Application COVID-19 Counting.srt	SRT	4.21 KB
18. SMA Application Algorithmic Trading.mp4	MP4	11.59 MB
18. SMA Application Algorithmic Trading.srt	SRT	2.85 KB
19. Exponential Smoothing Section Summary.mp4	MP4	19.12 MB
19. Exponential Smoothing Section Summary.srt	SRT	5.41 KB
2. Exponential Smoothing Intuition for Beginners.mp4	MP4	23.92 MB
2. Exponential Smoothing Intuition for Beginners.srt	SRT	7.24 KB
20. (Optional) More About State-Space Models.mp4	MP4	40.17 MB
20. (Optional) More About State-Space Models.srt	SRT	14.29 KB
3. SMA Theory.mp4	MP4	15.24 MB
3. SMA Theory.srt	SRT	4.84 KB
4. SMA Code.mp4	MP4	54.09 MB
4. SMA Code.srt	SRT	9.65 KB
5. EWMA Theory.mp4	MP4	35.83 MB
5. EWMA Theory.srt	SRT	14.6 KB
6. EWMA Code.mp4	MP4	39.41 MB
6. EWMA Code.srt	SRT	9.57 KB
7. SES Theory.mp4	MP4	35.58 MB
7. SES Theory.srt	SRT	13.85 KB
8. SES Code.mp4	MP4	69.54 MB
8. SES Code.srt	SRT	14.53 KB
9. Holt's Linear Trend Model (Theory).mp4	MP4	33.2 MB
9. Holt's Linear Trend Model (Theory).srt	SRT	10.08 KB
GetFreeCourses.Co.url	URL	116 B
How you can help GetFreeCourses.Co.txt	TXT	182 B

5. ARIMA

1. ARIMA Section Introduction.mp4	MP4	23.01 MB
1. ARIMA Section Introduction.srt	SRT	7.15 KB
10. ACF and PACF in Code (pt 1).mp4	MP4	41.32 MB
10. ACF and PACF in Code (pt 1).srt	SRT	9.34 KB
11. ACF and PACF in Code (pt 2).mp4	MP4	33.88 MB
11. ACF and PACF in Code (pt 2).srt	SRT	8.02 KB
12. Auto ARIMA and SARIMAX.mp4	MP4	39.46 MB
12. Auto ARIMA and SARIMAX.srt	SRT	12.28 KB
13. Model Selection, AIC and BIC.mp4	MP4	45.91 MB
13. Model Selection, AIC and BIC.srt	SRT	13.45 KB
14. Auto ARIMA in Code.mp4	MP4	103.19 MB
14. Auto ARIMA in Code.srt	SRT	15.74 KB
15. Auto ARIMA in Code (Stocks).mp4	MP4	105.21 MB
15. Auto ARIMA in Code (Stocks).srt	SRT	17.09 KB
16. ACF and PACF for Stock Returns.mp4	MP4	43.5 MB
16. ACF and PACF for Stock Returns.srt	SRT	7.48 KB
17. Auto ARIMA in Code (Sales Data).mp4	MP4	65.43 MB
17. Auto ARIMA in Code (Sales Data).srt	SRT	10.16 KB
18. How to Forecast with ARIMA.mp4	MP4	37.95 MB
18. How to Forecast with ARIMA.srt	SRT	12.14 KB
19. Forecasting Out-Of-Sample.mp4	MP4	6.73 MB
19. Forecasting Out-Of-Sample.srt	SRT	1.67 KB
2. Autoregressive Models - AR(p).mp4	MP4	52.54 MB
2. Autoregressive Models - AR(p).srt	SRT	16.67 KB
20. ARIMA Section Summary.mp4	MP4	12.74 MB
20. ARIMA Section Summary.srt	SRT	4.57 KB
3. Moving Average Models - MA(q).mp4	MP4	10.91 MB
3. Moving Average Models - MA(q).srt	SRT	4.24 KB
4. ARIMA.mp4	MP4	41.39 MB
4. ARIMA.srt	SRT	13.8 KB
5. ARIMA in Code.mp4	MP4	121.58 MB
5. ARIMA in Code.srt	SRT	22.87 KB
6. Stationarity.mp4	MP4	55.16 MB
6. Stationarity.srt	SRT	17.53 KB
7. Stationarity in Code.mp4	MP4	61.5 MB
7. Stationarity in Code.srt	SRT	10.76 KB
8. ACF (Autocorrelation Function).mp4	MP4	37 MB
8. ACF (Autocorrelation Function).srt	SRT	12.98 KB
9. PACF (Partial Autocorrelation Funtion).mp4	MP4	25.11 MB
9. PACF (Partial Autocorrelation Funtion).srt	SRT	7.97 KB

6. Vector Autoregression (VAR, VMA, VARMA)

1. Vector Autoregression Section Introduction.mp4	MP4	12.35 MB
1. Vector Autoregression Section Introduction.srt	SRT	3.12 KB
10. Converting Between Models (Optional).mp4	MP4	37.15 MB
10. Converting Between Models (Optional).srt	SRT	14.73 KB
11. Vector Autoregression Section Summary.mp4	MP4	18.69 MB
11. Vector Autoregression Section Summary.srt	SRT	4.67 KB
2. VAR and VARMA Theory.mp4	MP4	59.22 MB
2. VAR and VARMA Theory.srt	SRT	17.74 KB
3. VARMA Code (pt 1).mp4	MP4	49.32 MB
3. VARMA Code (pt 1).srt	SRT	8.54 KB
4. VARMA Code (pt 2).mp4	MP4	52.25 MB
4. VARMA Code (pt 2).srt	SRT	7.06 KB
5. VARMA Code (pt 3).mp4	MP4	45.43 MB
5. VARMA Code (pt 3).srt	SRT	7.39 KB
6. VARMA Econometrics Code (pt 1).mp4	MP4	50.84 MB
6. VARMA Econometrics Code (pt 1).srt	SRT	9.71 KB
7. VARMA Econometrics Code (pt 2).mp4	MP4	61.6 MB
7. VARMA Econometrics Code (pt 2).srt	SRT	10.46 KB
8. Granger Causality.mp4	MP4	22.42 MB
8. Granger Causality.srt	SRT	5.29 KB
9. Granger Causality Code.mp4	MP4	32 MB
9. Granger Causality Code.srt	SRT	3.47 KB

7. Machine Learning Methods

1. Machine Learning Section Introduction.mp4	MP4	17.53 MB
1. Machine Learning Section Introduction.srt	SRT	5.33 KB
10. Forecasting with Differencing.mp4	MP4	18.97 MB
10. Forecasting with Differencing.srt	SRT	5.29 KB
11. Machine Learning for Time Series Forecasting in Code (pt 2).mp4	MP4	49.4 MB
11. Machine Learning for Time Series Forecasting in Code (pt 2).srt	SRT	6.65 KB
12. Application Sales Data.mp4	MP4	42.19 MB
12. Application Sales Data.srt	SRT	5.32 KB
13. Application Predicting Stock Prices and Returns.mp4	MP4	37.36 MB
13. Application Predicting Stock Prices and Returns.srt	SRT	4.83 KB
14. Application Predicting Stock Movements.mp4	MP4	26.28 MB
14. Application Predicting Stock Movements.srt	SRT	4.49 KB
15. Machine Learning Section Summary.mp4	MP4	10.36 MB
15. Machine Learning Section Summary.srt	SRT	3.01 KB
2. Supervised Machine Learning Classification and Regression.mp4	MP4	68.96 MB
2. Supervised Machine Learning Classification and Regression.srt	SRT	18.94 KB
3. Autoregressive Machine Learning Models.mp4	MP4	32.38 MB
3. Autoregressive Machine Learning Models.srt	SRT	10.13 KB
4. Machine Learning Algorithms Linear Regression.mp4	MP4	21.8 MB
4. Machine Learning Algorithms Linear Regression.srt	SRT	6.45 KB
5. Machine Learning Algorithms Logistic Regression.mp4	MP4	31.74 MB
5. Machine Learning Algorithms Logistic Regression.srt	SRT	9.02 KB
6. Machine Learning Algorithms Support Vector Machines.mp4	MP4	43.52 MB
6. Machine Learning Algorithms Support Vector Machines.srt	SRT	13.15 KB
7. Machine Learning Algorithms Random Forest.mp4	MP4	32.02 MB
7. Machine Learning Algorithms Random Forest.srt	SRT	9.07 KB
8. Extrapolation and Stock Prices.mp4	MP4	64.74 MB
8. Extrapolation and Stock Prices.srt	SRT	9.79 KB
9. Machine Learning for Time Series Forecasting in Code (pt 1).mp4	MP4	86.18 MB
9. Machine Learning for Time Series Forecasting in Code (pt 1).srt	SRT	14.96 KB

8. Deep Learning Artificial Neural Networks (ANN)

1. Artificial Neural Networks Section Introduction.mp4	MP4	19.43 MB
1. Artificial Neural Networks Section Introduction.srt	SRT	4.38 KB
10. Human Activity Recognition Dataset.mp4	MP4	30.74 MB
10. Human Activity Recognition Dataset.srt	SRT	7.26 KB
11. Human Activity Recognition Code Preparation.mp4	MP4	31.27 MB
11. Human Activity Recognition Code Preparation.srt	SRT	7.91 KB
12. Human Activity Recognition Data Exploration.mp4	MP4	49.95 MB
12. Human Activity Recognition Data Exploration.srt	SRT	8.58 KB
13. Human Activity Recognition Multi-Input ANN.mp4	MP4	67.55 MB
13. Human Activity Recognition Multi-Input ANN.srt	SRT	13.44 KB
14. Human Activity Recognition Feature-Based Model.mp4	MP4	36.06 MB
14. Human Activity Recognition Feature-Based Model.srt	SRT	5.52 KB
15. Human Activity Recognition Combined Model.mp4	MP4	20.9 MB
15. Human Activity Recognition Combined Model.srt	SRT	3.02 KB
16. How Does a Neural Network Learn.mp4	MP4	50.07 MB
16. How Does a Neural Network Learn.srt	SRT	14.16 KB
17. Artificial Neural Networks Section Summary.mp4	MP4	10.95 MB
17. Artificial Neural Networks Section Summary.srt	SRT	2.82 KB
2. The Neuron.mp4	MP4	43.86 MB
2. The Neuron.srt	SRT	12.66 KB
3. Forward Propagation.mp4	MP4	44.79 MB
3. Forward Propagation.srt	SRT	12.45 KB
4. The Geometrical Picture.mp4	MP4	53.97 MB
4. The Geometrical Picture.srt	SRT	11.74 KB
5. Activation Functions.mp4	MP4	86.54 MB
5. Activation Functions.srt	SRT	22.86 KB
6. Multiclass Classification.mp4	MP4	43.63 MB
6. Multiclass Classification.srt	SRT	11.1 KB
7. ANN Code Preparation.mp4	MP4	57.51 MB
7. ANN Code Preparation.srt	SRT	16.28 KB
8. Feedforward ANN for Time Series Forecasting Code.mp4	MP4	70.91 MB
8. Feedforward ANN for Time Series Forecasting Code.srt	SRT	10.74 KB
9. Feedforward ANN for Stock Return and Price Predictions Code.mp4	MP4	67.71 MB
9. Feedforward ANN for Stock Return and Price Predictions Code.srt	SRT	9.03 KB

9. Deep Learning Convolutional Neural Networks (CNN)

1. CNN Section Introduction.mp4	MP4	14.31 MB
1. CNN Section Introduction.srt	SRT	4.04 KB
10. CNN for Human Activity Recognition.mp4	MP4	46.39 MB
10. CNN for Human Activity Recognition.srt	SRT	6.44 KB
11. CNN Section Summary.mp4	MP4	15.44 MB
11. CNN Section Summary.srt	SRT	4.15 KB
2. What is Convolution.mp4	MP4	78.29 MB
2. What is Convolution.srt	SRT	20.66 KB
3. What is Convolution (Pattern-Matching).mp4	MP4	23.7 MB
3. What is Convolution (Pattern-Matching).srt	SRT	6.92 KB
4. What is Convolution (Weight Sharing).mp4	MP4	30.45 MB
4. What is Convolution (Weight Sharing).srt	SRT	8.55 KB
5. Convolution on Color Images.mp4	MP4	73.99 MB
5. Convolution on Color Images.srt	SRT	20.83 KB
6. Convolution for Time Series and ARIMA.mp4	MP4	23.61 MB
6. Convolution for Time Series and ARIMA.srt	SRT	6.42 KB
7. CNN Architecture.mp4	MP4	96.82 MB
7. CNN Architecture.srt	SRT	32.02 KB
8. CNN Code Preparation.mp4	MP4	27.49 MB
8. CNN Code Preparation.srt	SRT	7.92 KB
9. CNN for Time Series Forecasting in Code.mp4	MP4	48.78 MB
9. CNN for Time Series Forecasting in Code.srt	SRT	6.78 KB
GetFreeCourses.Co.url	URL	116 B
How you can help GetFreeCourses.Co.txt	TXT	182 B

Download Paid Udemy Courses For Free.url

URL

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GetFreeCourses.Co.url

URL

116 B

How you can help GetFreeCourses.Co.txt

TXT

182 B

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Udemy - Time Series Analysis and Forecasting with MS Excel Posted by freecoursewb in Other Posted in Other 0 1.5 GB 2 years ago freecoursewb	Size 1.5 GB	Files 29	Age 2 years ago	Seeds 0	Leechs 0	Source

Time Series Analysis, Forecasting, and Machine Learning

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