Torrent Info
Title Udemy - Time Series Analysis in Python 2022
Category XXX
Size 1.78GB
Files List
Please note that this page does not hosts or makes available any of the listed filenames. You cannot download any of those files from here.
10 - Installing Packages Exercise Solution.html 613B
10 - Setting the Frequency.html 0B
11 - Filling Missing Values.html 0B
11 - Introduction to Time English.vtt 4.95KB
11 - Introduction to TimeSeries Data.mp4 47.18MB
12 - Adding and Removing Columns in a Data Frame.html 0B
12 - Notation for Time Series Data.mp4 3.35MB
12 - Notation for Time Series Data English.vtt 1.62KB
13 - Peculiarities of Time Series Data.mp4 8.85MB
13 - Peculiarities of Time Series Data English.vtt 3.54KB
13 - Splitting Up the Data.html 0B
14 - Index2018.csv 290.74KB
14 - Loading the Data.mp4 5.25MB
14 - Loading the Data English.vtt 2.43KB
14 - Section 3 Introduction to Time Series Completed.txt 123B
14 - Section 3 Introduction to Time Series Template.txt 119B
14 - White Noise.html 0B
15 - Examining the Data.mp4 15.03MB
15 - Examining the Data English.vtt 6.17KB
15 - Random Walk.html 0B
16 - Plotting the Data.mp4 16.85MB
16 - Plotting the Data English.vtt 5.51KB
16 - Stationarity.html 0B
17 - Determining Weak Form Stationarity.html 0B
17 - The QQ Plot.mp4 6.95MB
17 - The QQ Plot English.vtt 3.22KB
18 - Seasonality.html 0B
18 - Section 4 Creating a Time Series Object in Python Completed.txt 141B
18 - Section 4 Creating a Time Series Object in Python Template.txt 140B
18 - Transforming String inputs into DateTime Values.mp4 27.91MB
18 - Transforming String inputs into DateTime Values English.vtt 5.62KB
19 - Correlation Between Past and Present Values.html 0B
19 - Using Date as an Index.mp4 6.53MB
19 - Using Date as an Index English.vtt 3.28KB
1 - Introduction to Time Series Data.html 0B
1 - What does the course cover.mp4 47.34MB
1 - What does the course cover English.vtt 6.30KB
20 - Setting the Frequency.mp4 5.96MB
20 - Setting the Frequency English.vtt 2.88KB
20 - The Autocorrelation Function ACF.html 0B
21 - Filling Missing Values.mp4 15.94MB
21 - Filling Missing Values English.vtt 6.39KB
21 - The Partial Autocorrelation Function PACF.html 0B
22 - Adding and Removing Columns in a Data Frame.mp4 8.91MB
22 - Adding and Removing Columns in a Data Frame English.vtt 3.90KB
22 - Picking the Correct Model.html 0B
23 - Splitting Up the Data.mp4 10.79MB
23 - Splitting Up the Data English.vtt 4.67KB
23 - The Autoregressive AR Model.html 0B
24 - Appendix Updating the Dataset.html 7.75KB
24 - Appendix Updating the Dataset.txt 74B
24 - Examining the ACF and PACF of Prices.html 0B
24 - Section4AppendixUpdatingtheDataset.pdf 235.48KB
25 - Fitting an AR1 Model for Index Prices.html 0B
25 - Section 5 Working with Time Series in Python Completed.txt 134B
25 - Section 5 Working with Time Series in Python Template.txt 133B
25 - WarningMessages.pdf 151.51KB
25 - White Noise.mp4 40.61MB
25 - White Noise English.vtt 7.22KB
26 - Fitting HigherLag AR Models for Prices.html 0B
26 - Random Walk.mp4 14.67MB
26 - Random Walk English.vtt 5.72KB
26 - RandWalk.csv 163.94KB
27 - Stationarity.mp4 5.89MB
27 - Stationarity English.vtt 2.79KB
27 - Using Returns Instead of Prices.html 0B
28 - Determining Weak Form Stationarity.mp4 12.49MB
28 - Determining Weak Form Stationarity English.vtt 6.65KB
28 - Examining the ACF and PACF of Returns.html 0B
29 - Fitting an AR1 Model for Index Returns.html 0B
29 - Seasonality.mp4 17.70MB
29 - Seasonality English.vtt 5.67KB
2 - Download Additional Resources.html 601B
2 - Notation for Time Series Data.html 0B
30 - Correlation Between Past and Present Values.mp4 3.74MB
30 - Correlation Between Past and Present Values English.vtt 1.88KB
30 - Fitting HigherLag AR Models for Returns.html 0B
31 - Normalizing Values.html 0B
31 - TheACF.pdf 62.01KB
31 - The Autocorrelation Function ACF.mp4 17.16MB
31 - The Autocorrelation Function ACF English.vtt 6.99KB
32 - Model Selection for Normalized Returns.html 0B
32 - ThePACF.pdf 63.57KB
32 - The Partial Autocorrelation Function PACF.mp4 13.20MB
32 - The Partial Autocorrelation Function PACF English.vtt 5.68KB
33 - Examining the AR Model Residuals.html 0B
33 - Picking the Correct Model.mp4 6.21MB
33 - Picking the Correct Model English.vtt 2.97KB
34 - The Autoregressive AR Model.mp4 45.30MB
34 - The Autoregressive AR Model English.vtt 5.80KB
34 - The Moving Average MA Model.html 0B
35 - CourseNotesTheARModel.pdf 425.35KB
35 - Examining the ACF and PACF of Prices.mp4 14.84MB
35 - Examining the ACF and PACF of Prices English.vtt 5.40KB
35 - Fitting an MA1 Model for Returns.html 0B
35 - Section 7 The AR Model Prices Completed.txt 121B
35 - Section 7 The AR Model Prices Template.txt 120B
36 - Fitting an AR1 Model for Index Prices.mp4 14.37MB
36 - Fitting an AR1 Model for Index Prices English.vtt 5.57KB
36 - Fitting HigherLag MA Models for Returns.html 0B
37 - Examining the MA Model Residuals for Returns.html 0B
37 - Fitting Higher.mp4 54.96MB
37 - Fitting Higher English.vtt 10.30KB
38 - Model Selection for Normalized Returns MA.html 0B
38 - Section 7 The AR Model Returns Completed.txt 122B
38 - Section 7 The AR Model Returns Template.txt 121B
38 - Using Returns Instead of Prices.mp4 15.00MB
38 - Using Returns Instead of Prices English.vtt 6.76KB
39 - Examining the ACF and PACF of Returns.mp4 7.77MB
39 - Examining the ACF and PACF of Returns English.vtt 2.46KB
39 - Fitting an MA1 Model for Prices.html 0B
3 - Peculiarities of Time Series Data.html 0B
3 - Setting up the environment.mp4 2.20MB
3 - Setting up the environment English.vtt 1.21KB
40 - Fitting an AR1 Model for Index Returns.mp4 5.30MB
40 - Fitting an AR1 Model for Index Returns English.vtt 2.73KB
40 - The Autoregressive Moving Average ARMA Model.html 0B
41 - Fitting a Simple ARMA Model for Returns.html 0B
41 - Fitting Higher.mp4 11.68MB
41 - Fitting Higher English.vtt 3.71KB
42 - Fitting a HigherLag ARMA Model for Returns Part 3.html 0B
42 - Normalizing Values.mp4 14.58MB
42 - Normalizing Values English.vtt 6.04KB
43 - Examining the ARMA Model Residuals of Returns.html 0B
43 - Model Selection for Normalized Returns AR.mp4 9.72MB
43 - Model Selection for Normalized Returns AR English.vtt 2.56KB
44 - ARMA for Prices.html 0B
44 - Examining the AR Model Residuals.mp4 24.38MB
44 - Examining the AR Model Residuals English.vtt 6.21KB
45 - The Autoregressive Integrated Moving Average ARIMA Model.html 0B
45 - Unexpected Shocks from Past Periods.mp4 3.89MB
45 - Unexpected Shocks from Past Periods English.vtt 1.77KB
46 - 811ARInfMA1.pdf 166.45KB
46 - 811MAInfAR1.pdf 169.18KB
46 - Fitting a Simple ARIMA Model for Prices.html 0B
46 - The Moving Average MA Model.mp4 15.82MB
46 - The Moving Average MA Model English.vtt 5.83KB
47 - CourseNotesTheMAModel.pdf 136.02KB
47 - Fitting a HigherLag ARIMA Model for Prices Part 2.html 0B
47 - Fitting an MA1 Model for Returns.mp4 11.82MB
47 - Fitting an MA1 Model for Returns English.vtt 4.46KB
47 - Section 8 The MA Model Completed.txt 103B
47 - Section 8 The MA Model Template.txt 102B
48 - Fitting Higher.mp4 48.70MB
48 - Fitting Higher English.vtt 8.26KB
48 - Higher Levels of Integration.html 0B
49 - Examining the MA Model Residuals for Returns.mp4 25.56MB
49 - Examining the MA Model Residuals for Returns English.vtt 6.25KB
49 - Using ARIMA Models for Returns.html 0B
4 - Loading the Data.html 0B
4 - Why Python and Jupyter.mp4 9.74MB
4 - Why Python and Jupyter English.vtt 5.74KB
50 - Model Selection for Normalized Returns MA.mp4 14.14MB
50 - Model Selection for Normalized Returns MA English.vtt 3.68KB
50 - Outside Factors and the ARIMAX Model.html 0B
51 - Fitting an MA1 Model for Prices.mp4 13.42MB
51 - Fitting an MA1 Model for Prices English.vtt 5.37KB
51 - The ARCH Model.html 0B
52 - Past Values and Past Errors.mp4 5.65MB
52 - Past Values and Past Errors English.vtt 2.83KB
52 - Volatility.html 0B
53 - A More Detailed Look of the ARCH Model.html 0B
53 - CourseNotesTheARMAModel.pdf 147.04KB
53 - The Autoregressive Moving Average ARMA Model.mp4 8.07MB
53 - The Autoregressive Moving Average ARMA Model English.vtt 3.61KB
54 - Fitting a Simple ARMA Model for Returns.mp4 15.26MB
54 - Fitting a Simple ARMA Model for Returns English.vtt 4.72KB
54 - Section 9 The ARMA Completed.txt 108B
54 - Section 9 The ARMA Template.txt 107B
54 - The archmodel Method.html 0B
55 - Fitting a Higher.mp4 27.57MB
55 - Fitting a Higher English.vtt 6.25KB
55 - The SImple ARCH Model.html 0B
56 - Fitting a Higher.mp4 27.50MB
56 - Fitting a Higher English.vtt 6.42KB
56 - The GARCH Model.html 0B
57 - Fitting a Higher.mp4 20.22MB
57 - Fitting a Higher English.vtt 6.10KB
57 - The ARMA and the GARCH.html 0B
58 - Examining the ARMA Model Residuals of Returns.mp4 37.94MB
58 - Examining the ARMA Model Residuals of Returns English.vtt 7.71KB
58 - The Simple GARCH Model.html 0B
59 - ARMA for Prices.mp4 41.90MB
59 - ARMA for Prices English.vtt 8.79KB
59 - HigherLAg GARCH Models.html 0B
5 - Examining the Data.html 0B
5 - Installing Anaconda.mp4 10.92MB
5 - Installing Anaconda English.vtt 4.02KB
60 - ARMA Models and Non.mp4 4.46MB
60 - ARMA Models and Non English.vtt 2.54KB
61 - CourseNotesTheARIMAModel.pdf 166.39KB
61 - The Autoregressive Integrated Moving Average ARIMA Model.mp4 18.74MB
61 - The Autoregressive Integrated Moving Average ARIMA Model English.vtt 7.14KB
62 - Fitting a Simple ARIMA Model for Prices.mp4 20.53MB
62 - Fitting a Simple ARIMA Model for Prices English.vtt 6.60KB
62 - Section 10 The ARIMA Model Completed SARIMAX.txt 123B
62 - Section 10 The ARIMA Model Template.txt 106B
63 - Fitting a Higher English.vtt 6.64KB
63 - Fitting a HigherLag ARIMA Model for Prices Part 1.mp4 41.85MB
64 - Fitting a Higher.mp4 38.29MB
64 - Fitting a Higher English.vtt 6.79KB
65 - Higher Levels of Integration.mp4 18.09MB
65 - Higher Levels of Integration English.vtt 4.71KB
66 - Using ARIMA Models for Returns.mp4 7.52MB
66 - Using ARIMA Models for Returns English.vtt 4.30KB
67 - CourseNotesTheARMAXModel.pdf 130.82KB
67 - Outside Factors and the ARIMAX Model.mp4 11.46MB
67 - Outside Factors and the ARIMAX Model English.vtt 4.55KB
67 - TheARIMAXModel.pdf 127.80KB
68 - CourseNotesTheSARIMAXModel.pdf 209.30KB
68 - Seasonal Models.mp4 21.72MB
68 - Seasonal Models English.vtt 9.03KB
69 - Predicting Stability.mp4 4.41MB
69 - Predicting Stability English.vtt 2.06KB
6 - Jupyter Dashboard.mp4 4.45MB
6 - Jupyter Dashboard English.vtt 2.83KB
6 - Plotting the Data.html 0B
70 - CourseNotesTheARCHModel.pdf 138.19KB
70 - The Autoregressive Conditional Heteroscedasticity ARCH Model.mp4 12.90MB
70 - The Autoregressive Conditional Heteroscedasticity ARCH Model English.vtt 6.12KB
71 - Volatility.mp4 7.40MB
71 - Volatility English.vtt 3.70KB
72 - A More Detailed Look of the ARCH Model.mp4 31.61MB
72 - A More Detailed Look of the ARCH Model English.vtt 7.32KB
73 - archmodel.pdf 61.78KB
73 - Section 11 The ARCH Model Completed.txt 109B
73 - Section 11 The ARCH Model Template.txt 105B
73 - The archmodel Method.mp4 40.42MB
73 - The archmodel Method English.vtt 8.89KB
74 - The Simple ARCH Model.mp4 27.18MB
74 - The Simple ARCH Model English.vtt 7.95KB
75 - Higher.mp4 13.28MB
75 - Higher English.vtt 3.46KB
76 - An ARMA Equivalent of the ARCH Model.mp4 3.34MB
76 - An ARMA Equivalent of the ARCH Model English.vtt 1.67KB
77 - CourseNotesTheGARCHModel.pdf 147.42KB
77 - The Generalized Autoregressive Conditional Heteroskedasticity GARCH Model.mp4 7.44MB
77 - The Generalized Autoregressive Conditional Heteroskedasticity GARCH Model English.vtt 3.80KB
78 - The ARMA and the GARCH.mp4 5.19MB
78 - The ARMA and the GARCH English.vtt 2.58KB
79 - Section 12 The GARCH Model Completed.txt 102B
79 - Section 12 The GARCH Model Template.txt 98B
79 - The Simple GARCH Model.mp4 10.96MB
79 - The Simple GARCH Model English.vtt 3.95KB
7 - Jupyter Dashboard.mp4 12.29MB
7 - Jupyter Dashboard English.vtt 6.03KB
7 - The QQ Plot.html 0B
80 - Higher.mp4 12.26MB
80 - Higher English.vtt 4.30KB
81 - An Alternative to the Model Selection Process.mp4 2.78MB
81 - An Alternative to the Model Selection Process English.vtt 1.33KB
82 - Auto ARIMA.mp4 11.49MB
82 - Auto ARIMA English.vtt 5.79KB
82 - Section 13 Auto ARIMA Completed.txt 100B
82 - Section 13 Auto ARIMA Template.txt 99B
83 - Preparing Python for Model Selection.mp4 8.06MB
83 - Preparing Python for Model Selection English.vtt 1.54KB
84 - The Default Best Fit.mp4 20.59MB
84 - The Default Best Fit English.vtt 6.87KB
85 - Auto ARIMA Arguments.txt 106B
85 - Basic Auto ARIMA Arguments.mp4 40.70MB
85 - Basic Auto ARIMA Arguments English.vtt 11.87KB
86 - Advanced Auto ARIMA Arguments.mp4 30.21MB
86 - Advanced Auto ARIMA Arguments English.vtt 5.21KB
87 - The Goal Behind Modelling.mp4 2.54MB
87 - The Goal Behind Modelling English.vtt 1.10KB
88 - Introduction to Forecasting.mp4 44.58MB
88 - Introduction to Forecasting English.vtt 8.59KB
88 - Section 14 Forecasting Completed.txt 99B
88 - Section 14 Forecasting Template.txt 98B
89 - Simple Forecasting Returns with AR and MA.mp4 24.75MB
89 - Simple Forecasting Returns with AR and MA English.vtt 4.61KB
8 - Installing the Necessary Packages.mp4 2.92MB
8 - Installing the Necessary Packages English.vtt 1.66KB
8 - Transforming String inputs into DateTime Values.html 0B
90 - Intermediate MAX Model Forecasting.mp4 15.19MB
90 - Intermediate MAX Model Forecasting English.vtt 7.26KB
91 - Advanced Seasonal Forecasting.mp4 23.35MB
91 - Advanced Seasonal Forecasting English.vtt 4.77KB
92 - Auto ARIMA Forecasting.mp4 16.06MB
92 - Auto ARIMA Forecasting English.vtt 5.55KB
93 - Pitfalls of Forecasting.mp4 34.43MB
93 - Pitfalls of Forecasting English.vtt 7.46KB
94 - Forecasting Volatility.mp4 27.63MB
94 - Forecasting Volatility English.vtt 6.31KB
95 - Forecasting Appendix Multivariate Forecasting.mp4 42.44MB
95 - Forecasting Appendix Multivariate Forecasting English.vtt 9.22KB
96 - Business Case.mp4 174.74MB
96 - Business Case English.vtt 33.58KB
96 - Section 15 Business Case Completed.txt 103B
96 - Section 15 Business Case Template.txt 102B
97 - Completing 100.html 1.88KB
9 - Installing Packages Exercise.html 375B
9 - Using Dates as an Index.html 0B
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