GetFreeCourses.Co-Udemy-Time Series Analysis, Forecasting, and Machine Learning

1. 04 ARIMA/005 ARIMA in Code.mp4 124.50 MB
2. 12 Effective Learning Strategies for Machine Learning FAQ/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 110.79 MB
3. 04 ARIMA/015 Auto ARIMA in Code (Stocks).mp4 107.73 MB
4. 04 ARIMA/014 Auto ARIMA in Code.mp4 105.66 MB
5. 07 Deep Learning_ Convolutional Neural Networks (CNN)/007 CNN Architecture.mp4 99.15 MB
6. 08 VIP_ AWS Forecast/005 Code pt 2 (Uploading the data to S3).mp4 93.25 MB
7. 06 Deep Learning_ Artificial Neural Networks (ANN)/005 Activation Functions.mp4 88.62 MB
8. 05 Machine Learning Methods/009 Machine Learning for Time Series Forecasting in Code (pt 1).mp4 88.23 MB
9. 12 Effective Learning Strategies for Machine Learning FAQ/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 81.53 MB
10. 07 Deep Learning_ Convolutional Neural Networks (CNN)/002 What is Convolution_.mp4 80.17 MB
11. 07 Deep Learning_ Convolutional Neural Networks (CNN)/005 Convolution on Color Images.mp4 75.76 MB
12. 06 Deep Learning_ Artificial Neural Networks (ANN)/008 Feedforward ANN for Time Series Forecasting Code.mp4 72.61 MB
13. 03 Exponential Smoothing and ETS Methods/008 SES Code.mp4 71.21 MB
14. 11 Extra Help With Python Coding for Beginners FAQ/003 Proof that using Jupyter Notebook is the same as not using it.mp4 71.18 MB
15. 05 Machine Learning Methods/002 Supervised Machine Learning_ Classification and Regression.mp4 70.61 MB
16. 02 Time Series Basics/011 Random Walks and the Random Walk Hypothesis.mp4 69.74 MB
17. 06 Deep Learning_ Artificial Neural Networks (ANN)/009 Feedforward ANN for Stock Return and Price Predictions Code.mp4 69.33 MB
18. 06 Deep Learning_ Artificial Neural Networks (ANN)/013 Human Activity Recognition_ Multi-Input ANN.mp4 69.17 MB
19. 04 ARIMA/017 Auto ARIMA in Code (Sales Data).mp4 66.99 MB
20. 05 Machine Learning Methods/008 Extrapolation and Stock Prices.mp4 66.29 MB
21. 08 VIP_ AWS Forecast/004 Code pt 1 (Getting and Transforming the Data).mp4 64.86 MB
22. 01 Welcome/002 Where to Get the Code.mp4 63.45 MB
23. 04 ARIMA/007 Stationarity in Code.mp4 62.98 MB
24. 03 Exponential Smoothing and ETS Methods/014 Walk-Forward Validation in Code.mp4 61.69 MB
25. 06 Deep Learning_ Artificial Neural Networks (ANN)/007 ANN Code Preparation.mp4 58.89 MB
26. 04 ARIMA/006 Stationarity.mp4 56.47 MB
27. 08 VIP_ AWS Forecast/006 Code pt 3 (Building your Model).mp4 55.78 MB
28. 06 Deep Learning_ Artificial Neural Networks (ANN)/004 The Geometrical Picture.mp4 55.26 MB
29. 03 Exponential Smoothing and ETS Methods/004 SMA Code.mp4 54.86 MB
30. 04 ARIMA/002 Autoregressive Models - AR(p).mp4 53.80 MB
31. 06 Deep Learning_ Artificial Neural Networks (ANN)/016 How Does a Neural Network _Learn__.mp4 51.27 MB
32. 06 Deep Learning_ Artificial Neural Networks (ANN)/012 Human Activity Recognition_ Data Exploration.mp4 51.15 MB
33. 08 VIP_ AWS Forecast/007 Code pt 4 (Generating and Evaluating the Forecast).mp4 51.07 MB
34. 03 Exponential Smoothing and ETS Methods/012 Holt-Winters (Code).mp4 51.00 MB
35. 05 Machine Learning Methods/011 Machine Learning for Time Series Forecasting in Code (pt 2).mp4 50.58 MB
36. 11 Extra Help With Python Coding for Beginners FAQ/002 How to Code by Yourself (part 2).mp4 50.36 MB
37. 08 VIP_ AWS Forecast/002 Data Model.mp4 50.13 MB
38. 07 Deep Learning_ Convolutional Neural Networks (CNN)/009 CNN for Time Series Forecasting in Code.mp4 49.95 MB
39. 03 Exponential Smoothing and ETS Methods/011 Holt-Winters (Theory).mp4 48.69 MB
40. 07 Deep Learning_ Convolutional Neural Networks (CNN)/010 CNN for Human Activity Recognition.mp4 47.50 MB
41. 04 ARIMA/013 Model Selection, AIC and BIC.mp4 47.01 MB
42. 02 Time Series Basics/009 Financial Time Series Primer.mp4 45.94 MB
43. 06 Deep Learning_ Artificial Neural Networks (ANN)/003 Forward Propagation.mp4 45.87 MB
44. 03 Exponential Smoothing and ETS Methods/013 Walk-Forward Validation.mp4 45.37 MB
45. 06 Deep Learning_ Artificial Neural Networks (ANN)/002 The Neuron.mp4 44.92 MB
46. 02 Time Series Basics/008 Forecasting Metrics.mp4 44.76 MB
47. 06 Deep Learning_ Artificial Neural Networks (ANN)/006 Multiclass Classification.mp4 44.67 MB
48. 10 Setting Up Your Environment FAQ/002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 44.66 MB
49. 08 VIP_ AWS Forecast/001 AWS Forecast Section Introduction.mp4 44.59 MB
50. 05 Machine Learning Methods/006 Machine Learning Algorithms_ Support Vector Machines.mp4 44.56 MB