GetFreeCourses Co Udemy Time Series Analysis Forecasting and Machine Learning

GetFreeCourses Co Udemy Time Series Analysis Forecasting and Machine Learning

Name	GetFreeCourses.Co-Udemy-Time Series Analysis, Forecasting, and Machine Learning	DOWNLOAD Copy Link
Total Size	7.3 GB
Total Files	352
Last Seen	2024-07-23 23:45
Hash	5A09A383A63C7F01E08784052833D37BC841544B

/1. Welcome/
1. Introduction and Outline.mp4	32.2 MB
1. Introduction and Outline.srt	7.7 KB
2. Warmup (Optional).mp4	24.3 MB
2. Warmup (Optional).srt	6.2 KB
/10. Deep Learning Recurrent Neural Networks (RNN)/
1. RNN Section Introduction.mp4	21.5 MB
1. RNN Section Introduction.srt	6.5 KB
10. LSTMs for Time Series Classification in Code.mp4	46.2 MB
10. LSTMs for Time Series Classification in Code.srt	5.6 KB
11. The Unreasonable Ineffectiveness of Recurrent Neural Networks.mp4	16.2 MB
11. The Unreasonable Ineffectiveness of Recurrent Neural Networks.srt	4.3 KB
12. RNN Section Summary.mp4	16.7 MB
12. RNN Section Summary.srt	3.9 KB
2. Simple RNN Elman Unit (pt 1).mp4	40.6 MB
2. Simple RNN Elman Unit (pt 1).srt	11.8 KB
3. Simple RNN Elman Unit (pt 2).mp4	42.0 MB
3. Simple RNN Elman Unit (pt 2).srt	13.2 KB
4. Aside State Space Models vs. RNNs.mp4	19.5 MB
4. Aside State Space Models vs. RNNs.srt	4.5 KB
5. RNN Code Preparation.mp4	35.8 MB
5. RNN Code Preparation.srt	11.4 KB
6. RNNs Understanding by Implementing (Paying Attention to Shapes).mp4	58.2 MB
6. RNNs Understanding by Implementing (Paying Attention to Shapes).srt	10.2 KB
7. GRU and LSTM (pt 1).mp4	83.9 MB
7. GRU and LSTM (pt 1).srt	23.4 KB
8. GRU and LSTM (pt 2).mp4	52.7 MB
8. GRU and LSTM (pt 2).srt	15.2 KB
9. LSTMs for Time Series Forecasting in Code.mp4	65.4 MB
9. LSTMs for Time Series Forecasting in Code.srt	9.4 KB
/11. VIP GARCH/
1. GARCH Section Introduction.mp4	19.1 MB
1. GARCH Section Introduction.srt	5.3 KB
10. GARCH Code (pt 3).mp4	46.1 MB
10. GARCH Code (pt 3).srt	7.3 KB
11. GARCH Code (pt 4).mp4	43.3 MB
11. GARCH Code (pt 4).srt	6.0 KB
12. GARCH Code (pt 5).mp4	33.5 MB
12. GARCH Code (pt 5).srt	4.2 KB
13. A Deep Learning Approach to GARCH.mp4	48.3 MB
13. A Deep Learning Approach to GARCH.srt	15.4 KB
14. GARCH Section Summary.mp4	32.3 MB
14. GARCH Section Summary.srt	8.9 KB
2. ARCH Theory (pt 1).mp4	20.5 MB
2. ARCH Theory (pt 1).srt	6.5 KB
3. ARCH Theory (pt 2).mp4	28.5 MB
3. ARCH Theory (pt 2).srt	9.8 KB
4. ARCH Theory (pt 3).mp4	20.5 MB
4. ARCH Theory (pt 3).srt	6.8 KB
5. GARCH Theory.mp4	28.8 MB
5. GARCH Theory.srt	9.8 KB
6. GARCH Code Preparation (pt 1).mp4	39.8 MB
6. GARCH Code Preparation (pt 1).srt	10.7 KB
7. GARCH Code Preparation (pt 2).mp4	42.0 MB
7. GARCH Code Preparation (pt 2).srt	10.6 KB
8. GARCH Code (pt 1).mp4	34.9 MB
8. GARCH Code (pt 1).srt	6.3 KB
9. GARCH Code (pt 2).mp4	54.5 MB
9. GARCH Code (pt 2).srt	8.9 KB
/12. VIP AWS Forecast/
1. AWS Forecast Section Introduction.mp4	45.7 MB
1. AWS Forecast Section Introduction.srt	10.9 KB
2. Data Model.mp4	51.3 MB
2. Data Model.srt	12.5 KB
3. Creating an IAM Role.mp4	25.0 MB
3. Creating an IAM Role.srt	4.9 KB
4. Code pt 1 (Getting and Transforming the Data).mp4	66.4 MB
4. Code pt 1 (Getting and Transforming the Data).srt	13.2 KB
5. Code pt 2 (Uploading the data to S3).mp4	95.5 MB
5. Code pt 2 (Uploading the data to S3).srt	16.8 KB
6. Code pt 3 (Building your Model).mp4	57.1 MB
6. Code pt 3 (Building your Model).srt	9.5 KB
7. Code pt 4 (Generating and Evaluating the Forecast).mp4	52.3 MB
7. Code pt 4 (Generating and Evaluating the Forecast).srt	8.9 KB
8. AWS Forecast Exercise.mp4	14.4 MB
8. AWS Forecast Exercise.srt	3.7 KB
9. AWS Forecast Section Summary.mp4	26.7 MB
9. AWS Forecast Section Summary.srt	7.0 KB
/13. VIP Facebook Prophet/
1. Prophet Section Introduction.mp4	15.2 MB
1. Prophet Section Introduction.srt	4.2 KB
10. (The Dangers of) Prophet for Stock Price Prediction.mp4	95.4 MB
10. (The Dangers of) Prophet for Stock Price Prediction.srt	14.3 KB
11. Prophet Section Summary.mp4	14.1 MB
11. Prophet Section Summary.srt	4.6 KB
2. How does Prophet work.mp4	42.7 MB
2. How does Prophet work.srt	11.1 KB
3. Prophet Code Preparation.mp4	67.0 MB
3. Prophet Code Preparation.srt	16.6 KB
4. Prophet in Code Data Preparation.mp4	57.4 MB
4. Prophet in Code Data Preparation.srt	9.9 KB
5. Prophet in Code Fit, Forecast, Plot.mp4	57.9 MB
5. Prophet in Code Fit, Forecast, Plot.srt	9.5 KB
6. Prophet in Code Holidays and Exogenous Regressors.mp4	71.2 MB
6. Prophet in Code Holidays and Exogenous Regressors.srt	11.6 KB
7. Prophet in Code Cross-Validation.mp4	44.0 MB
7. Prophet in Code Cross-Validation.srt	6.2 KB
8. Prophet in Code Changepoint Detection.mp4	39.8 MB
8. Prophet in Code Changepoint Detection.srt	4.3 KB
9. Prophet Multiplicative Seasonality, Outliers, Non-Daily Data.mp4	71.1 MB
9. Prophet Multiplicative Seasonality, Outliers, Non-Daily Data.srt	9.9 KB
GetFreeCourses.Co.url	0.1 KB
How you can help GetFreeCourses.Co.txt	0.2 KB
/14. Setting Up Your Environment FAQ/
1. Anaconda Environment Setup.mp4	29.2 MB
1. Anaconda Environment Setup.srt	20.8 KB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	45.7 MB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	14.6 KB
/15. Extra Help With Python Coding for Beginners FAQ/
1. How to Code by Yourself (part 1).mp4	25.8 MB
1. How to Code by Yourself (part 1).srt	23.2 KB
2. How to Code by Yourself (part 2).mp4	51.6 MB
2. How to Code by Yourself (part 2).srt	13.5 KB
3. Proof that using Jupyter Notebook is the same as not using it.mp4	72.9 MB
3. Proof that using Jupyter Notebook is the same as not using it.srt	14.4 KB
/16. Effective Learning Strategies for Machine Learning FAQ/
1. How to Succeed in this Course (Long Version).mp4	13.2 MB
1. How to Succeed in this Course (Long Version).srt	15.0 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.8 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt	32.6 KB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4	83.5 MB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt	17.2 KB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4	113.4 MB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt	24.1 KB
/17. Appendix FAQ Finale/
1. What is the Appendix.mp4	17.2 MB
1. What is the Appendix.srt	3.9 KB
2. BONUS Lecture.mp4	39.7 MB
2. BONUS Lecture.srt	8.1 KB
/2. Getting Set Up/
1. Where to Get the Code.mp4	42.5 MB
1. Where to Get the Code.srt	10.8 KB
1.1 Data Links.html	0.2 KB
1.2 Github Link.html	0.1 KB
2. How to use Github & Extra Coding Tips (Optional).mp4	53.3 MB
2. How to use Github & Extra Coding Tips (Optional).srt	13.3 KB
/3. Time Series Basics/
1. Time Series Basics Section Introduction.mp4	18.3 MB
1. Time Series Basics Section Introduction.srt	6.0 KB
10. Price Simulations in Code.mp4	19.2 MB
10. Price Simulations in Code.srt	3.5 KB
11. Random Walks and the Random Walk Hypothesis.mp4	71.4 MB
11. Random Walks and the Random Walk Hypothesis.srt	19.8 KB
12. The Naive Forecast and the Importance of Baselines.mp4	31.6 MB
12. The Naive Forecast and the Importance of Baselines.srt	9.4 KB
13. Naive Forecast and Forecasting Metrics in Code.mp4	43.5 MB
13. Naive Forecast and Forecasting Metrics in Code.srt	8.5 KB
14. Time Series Basics Section Summary.mp4	12.7 MB
14. Time Series Basics Section Summary.srt	4.4 KB
15. Suggestion Box.mp4	28.5 MB
15. Suggestion Box.srt	4.9 KB
2. What is a Time Series.mp4	33.8 MB
2. What is a Time Series.srt	6.5 KB
3. Modeling vs. Predicting.mp4	14.1 MB
3. Modeling vs. Predicting.srt	3.4 KB
4. Why Do We Care About Shapes.mp4	30.9 MB
4. Why Do We Care About Shapes.srt	7.8 KB
5. Types of Tasks.mp4	24.7 MB
5. Types of Tasks.srt	9.1 KB
6. Power, Log, and Box-Cox Transformations.mp4	34.2 MB
6. Power, Log, and Box-Cox Transformations.srt	8.3 KB
7. Power, Log, and Box-Cox Transformations in Code.mp4	34.9 MB
7. Power, Log, and Box-Cox Transformations in Code.srt	7.0 KB
8. Forecasting Metrics.mp4	45.8 MB
8. Forecasting Metrics.srt	15.6 KB
9. Financial Time Series Primer.mp4	47.1 MB
9. Financial Time Series Primer.srt	15.4 KB
/4. Exponential Smoothing and ETS Methods/
1. Exponential Smoothing Section Introduction.mp4	14.2 MB
1. Exponential Smoothing Section Introduction.srt	4.0 KB
10. Holt's Linear Trend Model (Code).mp4	20.0 MB
10. Holt's Linear Trend Model (Code).srt	3.5 KB
11. Holt-Winters (Theory).mp4	49.9 MB
11. Holt-Winters (Theory).srt	15.4 KB
12. Holt-Winters (Code).mp4	52.2 MB
12. Holt-Winters (Code).srt	9.8 KB
13. Walk-Forward Validation.mp4	46.5 MB
13. Walk-Forward Validation.srt	12.6 KB
14. Walk-Forward Validation in Code.mp4	63.2 MB
14. Walk-Forward Validation in Code.srt	10.3 KB
15. Application Sales Data.mp4	30.9 MB
15. Application Sales Data.srt	5.3 KB
16. Application Stock Predictions.mp4	42.5 MB
16. Application Stock Predictions.srt	6.5 KB
17. SMA Application COVID-19 Counting.mp4	20.3 MB
17. SMA Application COVID-19 Counting.srt	4.3 KB
18. SMA Application Algorithmic Trading.mp4	12.2 MB
18. SMA Application Algorithmic Trading.srt	2.9 KB
19. Exponential Smoothing Section Summary.mp4	20.0 MB
19. Exponential Smoothing Section Summary.srt	5.5 KB
2. Exponential Smoothing Intuition for Beginners.mp4	25.1 MB
2. Exponential Smoothing Intuition for Beginners.srt	7.4 KB
20. (Optional) More About State-Space Models.mp4	42.1 MB
20. (Optional) More About State-Space Models.srt	14.6 KB
3. SMA Theory.mp4	16.0 MB
3. SMA Theory.srt	5.0 KB
4. SMA Code.mp4	56.7 MB
4. SMA Code.srt	9.9 KB
5. EWMA Theory.mp4	37.6 MB
5. EWMA Theory.srt	15.0 KB
6. EWMA Code.mp4	41.3 MB
6. EWMA Code.srt	9.8 KB
7. SES Theory.mp4	37.3 MB
7. SES Theory.srt	14.2 KB
8. SES Code.mp4	72.9 MB
8. SES Code.srt	14.9 KB
9. Holt's Linear Trend Model (Theory).mp4	34.8 MB
9. Holt's Linear Trend Model (Theory).srt	10.3 KB
GetFreeCourses.Co.url	0.1 KB
How you can help GetFreeCourses.Co.txt	0.2 KB
/5. ARIMA/
1. ARIMA Section Introduction.mp4	24.1 MB
1. ARIMA Section Introduction.srt	7.3 KB
10. ACF and PACF in Code (pt 1).mp4	43.3 MB
10. ACF and PACF in Code (pt 1).srt	9.6 KB
11. ACF and PACF in Code (pt 2).mp4	35.5 MB
11. ACF and PACF in Code (pt 2).srt	8.2 KB
12. Auto ARIMA and SARIMAX.mp4	41.4 MB
12. Auto ARIMA and SARIMAX.srt	12.6 KB
13. Model Selection, AIC and BIC.mp4	48.1 MB
13. Model Selection, AIC and BIC.srt	13.8 KB
14. Auto ARIMA in Code.mp4	108.2 MB
14. Auto ARIMA in Code.srt	16.1 KB
15. Auto ARIMA in Code (Stocks).mp4	110.3 MB
15. Auto ARIMA in Code (Stocks).srt	17.5 KB
16. ACF and PACF for Stock Returns.mp4	45.6 MB
16. ACF and PACF for Stock Returns.srt	7.7 KB
17. Auto ARIMA in Code (Sales Data).mp4	68.6 MB
17. Auto ARIMA in Code (Sales Data).srt	10.4 KB
18. How to Forecast with ARIMA.mp4	39.8 MB
18. How to Forecast with ARIMA.srt	12.4 KB
19. Forecasting Out-Of-Sample.mp4	7.1 MB
19. Forecasting Out-Of-Sample.srt	1.7 KB
2. Autoregressive Models - AR(p).mp4	55.1 MB
2. Autoregressive Models - AR(p).srt	17.1 KB
20. ARIMA Section Summary.mp4	13.4 MB
20. ARIMA Section Summary.srt	4.7 KB
3. Moving Average Models - MA(q).mp4	11.4 MB
3. Moving Average Models - MA(q).srt	4.3 KB
4. ARIMA.mp4	43.4 MB
4. ARIMA.srt	14.1 KB
5. ARIMA in Code.mp4	127.5 MB
5. ARIMA in Code.srt	23.4 KB
6. Stationarity.mp4	57.8 MB
6. Stationarity.srt	18.0 KB
7. Stationarity in Code.mp4	64.5 MB
7. Stationarity in Code.srt	11.0 KB
8. ACF (Autocorrelation Function).mp4	38.8 MB
8. ACF (Autocorrelation Function).srt	13.3 KB
9. PACF (Partial Autocorrelation Funtion).mp4	26.3 MB
9. PACF (Partial Autocorrelation Funtion).srt	8.2 KB
/6. Vector Autoregression (VAR, VMA, VARMA)/
1. Vector Autoregression Section Introduction.mp4	13.0 MB
1. Vector Autoregression Section Introduction.srt	3.2 KB
10. Converting Between Models (Optional).mp4	39.0 MB
10. Converting Between Models (Optional).srt	15.1 KB
11. Vector Autoregression Section Summary.mp4	19.6 MB
11. Vector Autoregression Section Summary.srt	4.8 KB
2. VAR and VARMA Theory.mp4	62.1 MB
2. VAR and VARMA Theory.srt	18.2 KB
3. VARMA Code (pt 1).mp4	51.7 MB
3. VARMA Code (pt 1).srt	8.7 KB
4. VARMA Code (pt 2).mp4	54.8 MB
4. VARMA Code (pt 2).srt	7.2 KB
5. VARMA Code (pt 3).mp4	47.6 MB
5. VARMA Code (pt 3).srt	7.6 KB
6. VARMA Econometrics Code (pt 1).mp4	53.3 MB
6. VARMA Econometrics Code (pt 1).srt	9.9 KB
7. VARMA Econometrics Code (pt 2).mp4	64.6 MB
7. VARMA Econometrics Code (pt 2).srt	10.7 KB
8. Granger Causality.mp4	23.5 MB
8. Granger Causality.srt	5.4 KB
9. Granger Causality Code.mp4	33.6 MB
9. Granger Causality Code.srt	3.6 KB
/7. Machine Learning Methods/
1. Machine Learning Section Introduction.mp4	18.4 MB
1. Machine Learning Section Introduction.srt	5.5 KB
10. Forecasting with Differencing.mp4	19.9 MB
10. Forecasting with Differencing.srt	5.4 KB
11. Machine Learning for Time Series Forecasting in Code (pt 2).mp4	51.8 MB
11. Machine Learning for Time Series Forecasting in Code (pt 2).srt	6.8 KB
12. Application Sales Data.mp4	44.2 MB
12. Application Sales Data.srt	5.5 KB
13. Application Predicting Stock Prices and Returns.mp4	39.2 MB
13. Application Predicting Stock Prices and Returns.srt	4.9 KB
14. Application Predicting Stock Movements.mp4	27.6 MB
14. Application Predicting Stock Movements.srt	4.6 KB
15. Machine Learning Section Summary.mp4	10.9 MB
15. Machine Learning Section Summary.srt	3.1 KB
2. Supervised Machine Learning Classification and Regression.mp4	72.3 MB
2. Supervised Machine Learning Classification and Regression.srt	19.4 KB
3. Autoregressive Machine Learning Models.mp4	34.0 MB
3. Autoregressive Machine Learning Models.srt	10.4 KB
4. Machine Learning Algorithms Linear Regression.mp4	22.9 MB
4. Machine Learning Algorithms Linear Regression.srt	6.6 KB
5. Machine Learning Algorithms Logistic Regression.mp4	33.3 MB
5. Machine Learning Algorithms Logistic Regression.srt	9.2 KB
6. Machine Learning Algorithms Support Vector Machines.mp4	45.6 MB
6. Machine Learning Algorithms Support Vector Machines.srt	13.5 KB
7. Machine Learning Algorithms Random Forest.mp4	33.6 MB
7. Machine Learning Algorithms Random Forest.srt	9.3 KB
8. Extrapolation and Stock Prices.mp4	67.9 MB
8. Extrapolation and Stock Prices.srt	10.0 KB
9. Machine Learning for Time Series Forecasting in Code (pt 1).mp4	90.4 MB
9. Machine Learning for Time Series Forecasting in Code (pt 1).srt	15.3 KB
/8. Deep Learning Artificial Neural Networks (ANN)/
1. Artificial Neural Networks Section Introduction.mp4	20.4 MB
1. Artificial Neural Networks Section Introduction.srt	4.5 KB
10. Human Activity Recognition Dataset.mp4	32.2 MB
10. Human Activity Recognition Dataset.srt	7.4 KB
11. Human Activity Recognition Code Preparation.mp4	32.8 MB
11. Human Activity Recognition Code Preparation.srt	8.1 KB
12. Human Activity Recognition Data Exploration.mp4	52.4 MB
12. Human Activity Recognition Data Exploration.srt	8.8 KB
13. Human Activity Recognition Multi-Input ANN.mp4	70.8 MB
13. Human Activity Recognition Multi-Input ANN.srt	13.8 KB
14. Human Activity Recognition Feature-Based Model.mp4	37.8 MB
14. Human Activity Recognition Feature-Based Model.srt	5.6 KB
15. Human Activity Recognition Combined Model.mp4	21.9 MB
15. Human Activity Recognition Combined Model.srt	3.1 KB
16. How Does a Neural Network Learn.mp4	52.5 MB
16. How Does a Neural Network Learn.srt	14.5 KB
17. Artificial Neural Networks Section Summary.mp4	11.5 MB
17. Artificial Neural Networks Section Summary.srt	2.9 KB
2. The Neuron.mp4	46.0 MB
2. The Neuron.srt	13.0 KB
3. Forward Propagation.mp4	47.0 MB
3. Forward Propagation.srt	12.8 KB
4. The Geometrical Picture.mp4	56.6 MB
4. The Geometrical Picture.srt	12.0 KB
5. Activation Functions.mp4	90.7 MB
5. Activation Functions.srt	23.4 KB
6. Multiclass Classification.mp4	45.7 MB
6. Multiclass Classification.srt	11.4 KB
7. ANN Code Preparation.mp4	60.3 MB
7. ANN Code Preparation.srt	16.7 KB
8. Feedforward ANN for Time Series Forecasting Code.mp4	74.4 MB
8. Feedforward ANN for Time Series Forecasting Code.srt	11.0 KB
9. Feedforward ANN for Stock Return and Price Predictions Code.mp4	71.0 MB
9. Feedforward ANN for Stock Return and Price Predictions Code.srt	9.2 KB
/9. Deep Learning Convolutional Neural Networks (CNN)/
1. CNN Section Introduction.mp4	15.0 MB
1. CNN Section Introduction.srt	4.1 KB
10. CNN for Human Activity Recognition.mp4	48.6 MB
10. CNN for Human Activity Recognition.srt	6.6 KB
11. CNN Section Summary.mp4	16.2 MB
11. CNN Section Summary.srt	4.3 KB
11.1 Convert a Time Series Into an Image with Gramian Angular Fields and Markov Transition Fields.html	0.0 KB
2. What is Convolution.mp4	82.1 MB
2. What is Convolution.srt	21.2 KB
3. What is Convolution (Pattern-Matching).mp4	24.8 MB
3. What is Convolution (Pattern-Matching).srt	7.1 KB
4. What is Convolution (Weight Sharing).mp4	31.9 MB
4. What is Convolution (Weight Sharing).srt	8.8 KB
5. Convolution on Color Images.mp4	77.6 MB
5. Convolution on Color Images.srt	21.3 KB
6. Convolution for Time Series and ARIMA.mp4	24.8 MB
6. Convolution for Time Series and ARIMA.srt	6.6 KB
7. CNN Architecture.mp4	101.5 MB
7. CNN Architecture.srt	32.8 KB
8. CNN Code Preparation.mp4	28.8 MB
8. CNN Code Preparation.srt	8.1 KB
9. CNN for Time Series Forecasting in Code.mp4	51.1 MB
9. CNN for Time Series Forecasting in Code.srt	6.9 KB
GetFreeCourses.Co.url	0.1 KB
How you can help GetFreeCourses.Co.txt	0.2 KB
/
Download Paid Udemy Courses For Free.url	0.1 KB
GetFreeCourses.Co.url	0.1 KB
How you can help GetFreeCourses.Co.txt	0.2 KB
Total files 352