Download Free Download : Udemy Applied Time Series Analysis in Python
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:1.72 GB
Files Included :
1 Introduction.mp4 (8.69 MB)
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2 What are Time Series.mp4 (5.7 MB)
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1 Basic Statistics.mp4 (12.08 MB)
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3 Coding Exercise Descriptive and Inferential Statistics.mp4 (85.93 MB)
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4 Autocorrelation and White Noise.mp4 (6.37 MB)
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5 Stationarity and Differencing.mp4 (4.64 MB)
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1 Random Walk.mp4 (4.15 MB)
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2 Coding Excercise Random Walk.mp4 (34.44 MB)
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3 Moving Average Model.mp4 (4.03 MB)
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4 Coding Exercise Moving Average Model.mp4 (36.78 MB)
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5 Autoregressive Model.mp4 (6.38 MB)
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6 Mini Project Autoregressive Model.mp4 (88.95 MB)
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7 ARMA Autoregressive Moving Average Model'.mp4 (4.66 MB)
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8 Coding Exercise ARMA.mp4 (28.33 MB)
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1 ARIMA Autoregressive Integrated Moving Average Model.mp4 (5.58 MB)
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10 Project 4 - Part 1 VAR.mp4 (122.8 MB)
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11 Project 4 - Part 2 VARMA.mp4 (60.47 MB)
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12 Project 4 - Part 3 VARMAX.mp4 (77.09 MB)
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2 Project 1 ARIMA.mp4 (111.99 MB)
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3 SARIMA.mp4 (5.33 MB)
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4 Project 2 SARIMA.mp4 (116.45 MB)
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5 AIC Akaike's Information Criterion.mp4 (4.79 MB)
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6 SARIMAX.mp4 (2.6 MB)
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7 Project 3 SARIMAX.mp4 (157.81 MB)
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8 General Modelling Procedure.mp4 (4.52 MB)
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9 VAR Vector Autoregressions.mp4 (4.37 MB)
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1 Introduction.mp4 (3.43 MB)
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2 Deep Neural Networks (DNN).mp4 (2.49 MB)
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3 Recurrent Neural Network and Long Short-Term Memory (RNN and LSTM).mp4 (14.43 MB)
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4 Convolutional Neural Networks (CNN).mp4 (8.94 MB)
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1 Project 5 - Part 1 Initial setup.mp4 (62.09 MB)
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2 Project 5 - Part 2 Exploratory Data Analysis (EDA).mp4 (22.65 MB)
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3 Project 5 - Part 3 Feature Engineering.mp4 (64.81 MB)
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4 Project 5 - Part 4 Data Windowing and Training Function.mp4 (138.89 MB)
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5 Project 5 - Part 5 Single Step Models.mp4 (146.47 MB)
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6 Project 5 - Part 6 Multi Output Models.mp4 (98.66 MB)
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7 Project 5 - Part 7 Multi Step Models.mp4 (187.58 MB)
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1 Congratulations and Thank You!.mp4 (5.86 MB)
MP4
MP4
2 What are Time Series.mp4 (5.7 MB)
MP4
1 Basic Statistics.mp4 (12.08 MB)
MP4
3 Coding Exercise Descriptive and Inferential Statistics.mp4 (85.93 MB)
MP4
4 Autocorrelation and White Noise.mp4 (6.37 MB)
MP4
5 Stationarity and Differencing.mp4 (4.64 MB)
MP4
1 Random Walk.mp4 (4.15 MB)
MP4
2 Coding Excercise Random Walk.mp4 (34.44 MB)
MP4
3 Moving Average Model.mp4 (4.03 MB)
MP4
4 Coding Exercise Moving Average Model.mp4 (36.78 MB)
MP4
5 Autoregressive Model.mp4 (6.38 MB)
MP4
6 Mini Project Autoregressive Model.mp4 (88.95 MB)
MP4
7 ARMA Autoregressive Moving Average Model'.mp4 (4.66 MB)
MP4
8 Coding Exercise ARMA.mp4 (28.33 MB)
MP4
1 ARIMA Autoregressive Integrated Moving Average Model.mp4 (5.58 MB)
MP4
10 Project 4 - Part 1 VAR.mp4 (122.8 MB)
MP4
11 Project 4 - Part 2 VARMA.mp4 (60.47 MB)
MP4
12 Project 4 - Part 3 VARMAX.mp4 (77.09 MB)
MP4
2 Project 1 ARIMA.mp4 (111.99 MB)
MP4
3 SARIMA.mp4 (5.33 MB)
MP4
4 Project 2 SARIMA.mp4 (116.45 MB)
MP4
5 AIC Akaike's Information Criterion.mp4 (4.79 MB)
MP4
6 SARIMAX.mp4 (2.6 MB)
MP4
7 Project 3 SARIMAX.mp4 (157.81 MB)
MP4
8 General Modelling Procedure.mp4 (4.52 MB)
MP4
9 VAR Vector Autoregressions.mp4 (4.37 MB)
MP4
1 Introduction.mp4 (3.43 MB)
MP4
2 Deep Neural Networks (DNN).mp4 (2.49 MB)
MP4
3 Recurrent Neural Network and Long Short-Term Memory (RNN and LSTM).mp4 (14.43 MB)
MP4
4 Convolutional Neural Networks (CNN).mp4 (8.94 MB)
MP4
1 Project 5 - Part 1 Initial setup.mp4 (62.09 MB)
MP4
2 Project 5 - Part 2 Exploratory Data Analysis (EDA).mp4 (22.65 MB)
MP4
3 Project 5 - Part 3 Feature Engineering.mp4 (64.81 MB)
MP4
4 Project 5 - Part 4 Data Windowing and Training Function.mp4 (138.89 MB)
MP4
5 Project 5 - Part 5 Single Step Models.mp4 (146.47 MB)
MP4
6 Project 5 - Part 6 Multi Output Models.mp4 (98.66 MB)
MP4
7 Project 5 - Part 7 Multi Step Models.mp4 (187.58 MB)
MP4
1 Congratulations and Thank You!.mp4 (5.86 MB)
MP4
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