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Please note that this page does not hosts or makes available any of the listed filenames. You
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| [CourseClub.Me].url |
122B |
| [FCS Forum].url |
133B |
| [FreeCourseSite.com].url |
127B |
| [GigaCourse.Com].url |
49B |
| 001 Anaconda Environment Setup.en.srt |
21.09KB |
| 001 Anaconda Environment Setup.mp4 |
27.88MB |
| 001 ARIMA Section Introduction.en.srt |
7.41KB |
| 001 ARIMA Section Introduction.mp4 |
23.01MB |
| 001 Artificial Neural Networks_ Section Introduction.en.srt |
4.53KB |
| 001 Artificial Neural Networks_ Section Introduction.mp4 |
19.43MB |
| 001 AWS Forecast Section Introduction.en.srt |
11.02KB |
| 001 AWS Forecast Section Introduction.mp4 |
43.54MB |
| 001 CNN Section Introduction.en.srt |
4.20KB |
| 001 CNN Section Introduction.mp4 |
14.31MB |
| 001 Colab Notebooks.html |
977B |
| 001 Exponential Smoothing Section Introduction.en.srt |
4.01KB |
| 001 Exponential Smoothing Section Introduction.mp4 |
13.56MB |
| 001 How to Code by Yourself (part 1).en.srt |
23.46KB |
| 001 How to Code by Yourself (part 1).mp4 |
24.59MB |
| 001 How to Succeed in this Course (Long Version).en.srt |
15.17KB |
| 001 How to Succeed in this Course (Long Version).mp4 |
12.60MB |
| 001 Introduction and Outline.en.srt |
7.78KB |
| 001 Introduction and Outline.mp4 |
30.69MB |
| 001 Machine Learning Section Introduction.en.srt |
5.52KB |
| 001 Machine Learning Section Introduction.mp4 |
17.53MB |
| 001 Time Series Basics Section Introduction.en.srt |
6.08KB |
| 001 Time Series Basics Section Introduction.mp4 |
17.46MB |
| 001 What is the Appendix_.en.srt |
3.91KB |
| 001 What is the Appendix_.mp4 |
16.40MB |
| 002 Autoregressive Models - AR(p).en.srt |
17.29KB |
| 002 Autoregressive Models - AR(p).mp4 |
52.54MB |
| 002 BONUS_ Where to get discount coupons and FREE deep learning material.en.srt |
8.13KB |
| 002 BONUS_ Where to get discount coupons and FREE deep learning material.mp4 |
37.81MB |
| 002 Data Model.en.srt |
12.68KB |
| 002 Data Model.mp4 |
48.96MB |
| 002 Exponential Smoothing Intuition for Beginners.en.srt |
7.50KB |
| 002 Exponential Smoothing Intuition for Beginners.mp4 |
23.91MB |
| 002 How to Code by Yourself (part 2).en.srt |
13.66KB |
| 002 How to Code by Yourself (part 2).mp4 |
49.18MB |
| 002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.en.srt |
14.82KB |
| 002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 |
43.61MB |
| 002 Is this for Beginners or Experts_ Academic or Practical_ Fast or slow-paced_.en.srt |
33.02KB |
| 002 Is this for Beginners or Experts_ Academic or Practical_ Fast or slow-paced_.mp4 |
38.95MB |
| 002 Supervised Machine Learning_ Classification and Regression.en.srt |
19.65KB |
| 002 Supervised Machine Learning_ Classification and Regression.mp4 |
68.96MB |
| 002 The Neuron.en.srt |
13.13KB |
| 002 The Neuron.mp4 |
43.86MB |
| 002 What is a Time Series_.en.srt |
6.57KB |
| 002 What is a Time Series_.mp4 |
32.24MB |
| 002 What is Convolution_.en.srt |
21.44KB |
| 002 What is Convolution_.mp4 |
78.29MB |
| 002 Where to Get the Code.en.srt |
16.03KB |
| 002 Where to Get the Code.mp4 |
61.97MB |
| 003 Autoregressive Machine Learning Models.en.srt |
10.52KB |
| 003 Autoregressive Machine Learning Models.mp4 |
32.38MB |
| 003 Creating an IAM Role.en.srt |
4.98KB |
| 003 Creating an IAM Role.mp4 |
23.80MB |
| 003 Forward Propagation.en.srt |
12.93KB |
| 003 Forward Propagation.mp4 |
44.79MB |
| 003 Machine Learning and AI Prerequisite Roadmap (pt 1).en.srt |
17.41KB |
| 003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 |
79.62MB |
| 003 Modeling vs. Predicting.en.srt |
3.41KB |
| 003 Modeling vs. Predicting.mp4 |
13.48MB |
| 003 Moving Average Models - MA(q).en.srt |
4.31KB |
| 003 Moving Average Models - MA(q).mp4 |
10.13MB |
| 003 Proof that using Jupyter Notebook is the same as not using it.en.srt |
14.60KB |
| 003 Proof that using Jupyter Notebook is the same as not using it.mp4 |
69.51MB |
| 003 SMA Theory.en.srt |
5.03KB |
| 003 SMA Theory.mp4 |
15.24MB |
| 003 Warmup (Optional).en.srt |
6.28KB |
| 003 Warmup (Optional).mp4 |
23.16MB |
| 003 What is Convolution_ (Pattern-Matching).en.srt |
7.17KB |
| 003 What is Convolution_ (Pattern-Matching).mp4 |
23.69MB |
| 004 ARIMA.en.srt |
14.32KB |
| 004 ARIMA.mp4 |
41.39MB |
| 004 Code pt 1 (Getting and Transforming the Data).en.srt |
13.34KB |
| 004 Code pt 1 (Getting and Transforming the Data).mp4 |
63.34MB |
| 004 Machine Learning Algorithms_ Linear Regression.en.srt |
6.68KB |
| 004 Machine Learning Algorithms_ Linear Regression.mp4 |
21.80MB |
| 004 Machine Learning and AI Prerequisite Roadmap (pt 2).en.srt |
24.41KB |
| 004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 |
108.19MB |
| 004 SMA Code.en.srt |
9.84KB |
| 004 SMA Code.mp4 |
53.57MB |
| 004 The Geometrical Picture.en.srt |
12.17KB |
| 004 The Geometrical Picture.mp4 |
53.97MB |
| 004 What is Convolution_ (Weight Sharing).en.srt |
8.88KB |
| 004 What is Convolution_ (Weight Sharing).mp4 |
30.44MB |
| 004 Why Do We Care About Shapes_.en.srt |
7.94KB |
| 004 Why Do We Care About Shapes_.mp4 |
29.48MB |
| 005 Activation Functions.en.srt |
23.70KB |
| 005 Activation Functions.mp4 |
86.54MB |
| 005 ARIMA in Code.en.srt |
23.73KB |
| 005 ARIMA in Code.mp4 |
121.58MB |
| 005 Code pt 2 (Uploading the data to S3).en.srt |
17.04KB |
| 005 Code pt 2 (Uploading the data to S3).mp4 |
91.06MB |
| 005 Convolution on Color Images.en.srt |
21.60KB |
| 005 Convolution on Color Images.mp4 |
73.99MB |
| 005 EWMA Theory.en.srt |
15.14KB |
| 005 EWMA Theory.mp4 |
35.83MB |
| 005 Machine Learning Algorithms_ Logistic Regression.en.srt |
9.35KB |
| 005 Machine Learning Algorithms_ Logistic Regression.mp4 |
31.74MB |
| 005 Types of Tasks.en.srt |
9.24KB |
| 005 Types of Tasks.mp4 |
23.55MB |
| 006 Code pt 3 (Building your Model).en.srt |
9.59KB |
| 006 Code pt 3 (Building your Model).mp4 |
54.47MB |
| 006 Convolution for Time Series and ARIMA.en.srt |
6.65KB |
| 006 Convolution for Time Series and ARIMA.mp4 |
23.61MB |
| 006 EWMA Code.en.srt |
9.93KB |
| 006 EWMA Code.mp4 |
39.41MB |
| 006 Machine Learning Algorithms_ Support Vector Machines.en.srt |
13.63KB |
| 006 Machine Learning Algorithms_ Support Vector Machines.mp4 |
43.52MB |
| 006 Multiclass Classification.en.srt |
11.51KB |
| 006 Multiclass Classification.mp4 |
43.63MB |
| 006 Power, Log, and Box-Cox Transformations.en.srt |
8.41KB |
| 006 Power, Log, and Box-Cox Transformations.mp4 |
32.63MB |
| 006 Stationarity.en.srt |
18.20KB |
| 006 Stationarity.mp4 |
55.15MB |
| 007 ANN Code Preparation.en.srt |
16.88KB |
| 007 ANN Code Preparation.mp4 |
57.51MB |
| 007 CNN Architecture.en.srt |
33.24KB |
| 007 CNN Architecture.mp4 |
96.82MB |
| 007 Code pt 4 (Generating and Evaluating the Forecast).en.srt |
8.96KB |
| 007 Code pt 4 (Generating and Evaluating the Forecast).mp4 |
49.88MB |
| 007 Machine Learning Algorithms_ Random Forest.en.srt |
9.40KB |
| 007 Machine Learning Algorithms_ Random Forest.mp4 |
32.02MB |
| 007 Power, Log, and Box-Cox Transformations in Code.en.srt |
7.07KB |
| 007 Power, Log, and Box-Cox Transformations in Code.mp4 |
33.29MB |
| 007 SES Theory.en.srt |
14.35KB |
| 007 SES Theory.mp4 |
35.57MB |
| 007 Stationarity in Code.en.srt |
11.17KB |
| 007 Stationarity in Code.mp4 |
61.50MB |
| 008 ACF (Autocorrelation Function).en.srt |
13.44KB |
| 008 ACF (Autocorrelation Function).mp4 |
37.00MB |
| 008 AWS Forecast Exercise.en.srt |
3.79KB |
| 008 AWS Forecast Exercise.mp4 |
13.76MB |
| 008 CNN Code Preparation.en.srt |
8.22KB |
| 008 CNN Code Preparation.mp4 |
27.49MB |
| 008 Extrapolation and Stock Prices.en.srt |
10.16KB |
| 008 Extrapolation and Stock Prices.mp4 |
64.73MB |
| 008 Feedforward ANN for Time Series Forecasting Code.en.srt |
11.16KB |
| 008 Feedforward ANN for Time Series Forecasting Code.mp4 |
70.91MB |
| 008 Forecasting Metrics.en.srt |
15.80KB |
| 008 Forecasting Metrics.mp4 |
43.71MB |
| 008 SES Code.en.srt |
15.09KB |
| 008 SES Code.mp4 |
69.54MB |
| 009 AWS Forecast Section Summary.en.srt |
7.06KB |
| 009 AWS Forecast Section Summary.mp4 |
25.46MB |
| 009 CNN for Time Series Forecasting in Code.en.srt |
7.04KB |
| 009 CNN for Time Series Forecasting in Code.mp4 |
48.78MB |
| 009 Feedforward ANN for Stock Return and Price Predictions Code.en.srt |
9.37KB |
| 009 Feedforward ANN for Stock Return and Price Predictions Code.mp4 |
67.71MB |
| 009 Financial Time Series Primer.en.srt |
15.56KB |
| 009 Financial Time Series Primer.mp4 |
44.86MB |
| 009 Holt's Linear Trend Model (Theory).en.srt |
10.45KB |
| 009 Holt's Linear Trend Model (Theory).mp4 |
33.20MB |
| 009 Machine Learning for Time Series Forecasting in Code (pt 1).en.srt |
15.51KB |
| 009 Machine Learning for Time Series Forecasting in Code (pt 1).mp4 |
86.17MB |
| 009 PACF (Partial Autocorrelation Funtion).en.srt |
8.26KB |
| 009 PACF (Partial Autocorrelation Funtion).mp4 |
25.11MB |
| 010 ACF and PACF in Code (pt 1).en.srt |
9.68KB |
| 010 ACF and PACF in Code (pt 1).mp4 |
41.31MB |
| 010 CNN for Human Activity Recognition.en.srt |
6.68KB |
| 010 CNN for Human Activity Recognition.mp4 |
46.39MB |
| 010 Forecasting with Differencing.en.srt |
5.49KB |
| 010 Forecasting with Differencing.mp4 |
18.97MB |
| 010 Holt's Linear Trend Model (Code).en.srt |
3.57KB |
| 010 Holt's Linear Trend Model (Code).mp4 |
19.05MB |
| 010 Human Activity Recognition Dataset.en.srt |
7.52KB |
| 010 Human Activity Recognition Dataset.mp4 |
30.74MB |
| 010 Price Simulations in Code.en.srt |
3.54KB |
| 010 Price Simulations in Code.mp4 |
18.28MB |
| 011 ACF and PACF in Code (pt 2).en.srt |
8.31KB |
| 011 ACF and PACF in Code (pt 2).mp4 |
33.88MB |
| 011 CNN Section Summary.en.srt |
4.31KB |
| 011 CNN Section Summary.mp4 |
15.43MB |
| 011 Holt-Winters (Theory).en.srt |
15.55KB |
| 011 Holt-Winters (Theory).mp4 |
47.55MB |
| 011 Human Activity Recognition_ Code Preparation.en.srt |
8.20KB |
| 011 Human Activity Recognition_ Code Preparation.mp4 |
31.27MB |
| 011 Machine Learning for Time Series Forecasting in Code (pt 2).en.srt |
6.90KB |
| 011 Machine Learning for Time Series Forecasting in Code (pt 2).mp4 |
49.40MB |
| 011 Random Walks and the Random Walk Hypothesis.en.srt |
20.09KB |
| 011 Random Walks and the Random Walk Hypothesis.mp4 |
68.11MB |
| 012 Application_ Sales Data.en.srt |
5.54KB |
| 012 Application_ Sales Data.mp4 |
42.19MB |
| 012 Auto ARIMA and SARIMAX.en.srt |
12.72KB |
| 012 Auto ARIMA and SARIMAX.mp4 |
39.45MB |
| 012 Holt-Winters (Code).en.srt |
9.92KB |
| 012 Holt-Winters (Code).mp4 |
49.80MB |
| 012 Human Activity Recognition_ Data Exploration.en.srt |
8.90KB |
| 012 Human Activity Recognition_ Data Exploration.mp4 |
49.95MB |
| 012 The Naive Forecast and the Importance of Baselines.en.srt |
9.57KB |
| 012 The Naive Forecast and the Importance of Baselines.mp4 |
30.11MB |
| 013 Application_ Predicting Stock Prices and Returns.en.srt |
5.02KB |
| 013 Application_ Predicting Stock Prices and Returns.mp4 |
37.36MB |
| 013 Human Activity Recognition_ Multi-Input ANN.en.srt |
13.96KB |
| 013 Human Activity Recognition_ Multi-Input ANN.mp4 |
67.55MB |
| 013 Model Selection, AIC and BIC.en.srt |
13.94KB |
| 013 Model Selection, AIC and BIC.mp4 |
45.91MB |
| 013 Naive Forecast and Forecasting Metrics in Code.en.srt |
8.58KB |
| 013 Naive Forecast and Forecasting Metrics in Code.mp4 |
41.47MB |
| 013 Walk-Forward Validation.en.srt |
12.78KB |
| 013 Walk-Forward Validation.mp4 |
44.31MB |
| 014 Application_ Predicting Stock Movements.en.srt |
4.66KB |
| 014 Application_ Predicting Stock Movements.mp4 |
26.28MB |
| 014 Auto ARIMA in Code.en.srt |
16.34KB |
| 014 Auto ARIMA in Code.mp4 |
103.19MB |
| 014 Human Activity Recognition_ Feature-Based Model.en.srt |
5.73KB |
| 014 Human Activity Recognition_ Feature-Based Model.mp4 |
36.06MB |
| 014 Time Series Basics Section Summary.en.srt |
4.49KB |
| 014 Time Series Basics Section Summary.mp4 |
12.13MB |
| 014 Walk-Forward Validation in Code.en.srt |
10.41KB |
| 014 Walk-Forward Validation in Code.mp4 |
60.25MB |
| 015 Application_ Sales Data.en.srt |
5.40KB |
| 015 Application_ Sales Data.mp4 |
29.44MB |
| 015 Auto ARIMA in Code (Stocks).en.srt |
17.75KB |
| 015 Auto ARIMA in Code (Stocks).mp4 |
105.21MB |
| 015 Human Activity Recognition_ Combined Model.en.srt |
3.14KB |
| 015 Human Activity Recognition_ Combined Model.mp4 |
20.90MB |
| 015 Machine Learning Section Summary.en.srt |
3.12KB |
| 015 Machine Learning Section Summary.mp4 |
10.36MB |
| 015 Suggestion Box.en.srt |
4.85KB |
| 015 Suggestion Box.mp4 |
16.12MB |
| 016 ACF and PACF for Stock Returns.en.srt |
7.77KB |
| 016 ACF and PACF for Stock Returns.mp4 |
43.50MB |
| 016 Application_ Stock Predictions.en.srt |
6.56KB |
| 016 Application_ Stock Predictions.mp4 |
40.51MB |
| 016 How Does a Neural Network _Learn__.en.srt |
14.70KB |
| 016 How Does a Neural Network _Learn__.mp4 |
50.07MB |
| 017 Artificial Neural Networks_ Section Summary.en.srt |
2.92KB |
| 017 Artificial Neural Networks_ Section Summary.mp4 |
10.95MB |
| 017 Auto ARIMA in Code (Sales Data).en.srt |
10.54KB |
| 017 Auto ARIMA in Code (Sales Data).mp4 |
65.42MB |
| 017 SMA Application_ COVID-19 Counting.en.srt |
4.37KB |
| 017 SMA Application_ COVID-19 Counting.mp4 |
19.37MB |
| 018 How to Forecast with ARIMA.en.srt |
12.62KB |
| 018 How to Forecast with ARIMA.mp4 |
37.95MB |
| 018 SMA Application_ Algorithmic Trading.en.srt |
2.96KB |
| 018 SMA Application_ Algorithmic Trading.mp4 |
11.59MB |
| 019 ARIMA Section Summary.en.srt |
4.73KB |
| 019 ARIMA Section Summary.mp4 |
12.74MB |
| 019 Exponential Smoothing Section Summary.en.srt |
5.61KB |
| 019 Exponential Smoothing Section Summary.mp4 |
19.12MB |
| external-assets-links.txt |
80B |