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[DesireCourse.Net] Udemy - Time Series Analysis in Python 2020
magnet:?xt=urn:btih:b676ab2301b26013acb320e421dd8aa9b444bc09&dn=[DesireCourse.Net] Udemy - Time Series Analysis in Python 2020
磁力链接详情
Hash值:
b676ab2301b26013acb320e421dd8aa9b444bc09
点击数:
190
文件大小:
2.92 GB
文件数量:
92
创建日期:
2021-10-9 02:05
最后访问:
2024-7-16 22:53
访问标签:
DesireCourse
Net
Udemy
-
Time
Series
Analysis
in
Python
2020
文件列表详情
01 Introduction/001 What does the course cover.mp4 47.34 MB
02 Setting Up the Environment/002 Setting up the environment - Do not skip please.mp4 5.97 MB
02 Setting Up the Environment/003 Why Python and Jupyter.mp4 25.19 MB
02 Setting Up the Environment/004 Installing Anaconda.mp4 26.63 MB
02 Setting Up the Environment/005 Jupyter Dashboard - Part 1.mp4 9.76 MB
02 Setting Up the Environment/006 Jupyter Dashboard - Part 2.mp4 20.03 MB
02 Setting Up the Environment/007 Installing the Necessary Packages.mp4 7.83 MB
03 Introduction to Time Series in Python/010 Introduction to Time-Series Data.mp4 47.18 MB
03 Introduction to Time Series in Python/011 Notation for Time Series Data.mp4 12.17 MB
03 Introduction to Time Series in Python/012 Peculiarities of Time Series Data.mp4 26.8 MB
03 Introduction to Time Series in Python/013 Loading the Data.mp4 10.16 MB
03 Introduction to Time Series in Python/014 Examining the Data.mp4 39.83 MB
03 Introduction to Time Series in Python/015 Plotting the Data.mp4 21.23 MB
03 Introduction to Time Series in Python/016 The QQ Plot.mp4 16.29 MB
04 Creating a Time Series Object in Python/017 Transforming String inputs into DateTime Values.mp4 27.91 MB
04 Creating a Time Series Object in Python/018 Using Date as an Index.mp4 16.56 MB
04 Creating a Time Series Object in Python/019 Setting the Frequency.mp4 13.45 MB
04 Creating a Time Series Object in Python/020 Filling Missing Values.mp4 29.96 MB
04 Creating a Time Series Object in Python/021 Adding and Removing Columns in a Data Frame.mp4 16.26 MB
04 Creating a Time Series Object in Python/022 Splitting Up the Data.mp4 20.98 MB
05 Working with Time Series in Python/024 White Noise.mp4 46.36 MB
05 Working with Time Series in Python/025 Random Walk.mp4 32.41 MB
05 Working with Time Series in Python/026 Stationarity.mp4 21.56 MB
05 Working with Time Series in Python/027 Determining Weak Form Stationarity.mp4 33.84 MB
05 Working with Time Series in Python/028 Seasonality.mp4 34.23 MB
05 Working with Time Series in Python/029 Correlation Between Past and Present Values.mp4 14.08 MB
05 Working with Time Series in Python/030 The Autocorrelation Function (ACF).mp4 30.65 MB
05 Working with Time Series in Python/031 The Partial Autocorrelation Function (PACF).mp4 27.18 MB
06 Picking the Correct Model/032 Picking the Correct Model.mp4 22.96 MB
07 Modeling Autoregression The AR Model/033 The Autoregressive (AR) Model.mp4 45.3 MB
07 Modeling Autoregression The AR Model/034 Examining the ACF and PACF of Prices.mp4 33.08 MB
07 Modeling Autoregression The AR Model/035 Fitting an AR(1) Model for Index Prices.mp4 31.63 MB
07 Modeling Autoregression The AR Model/036 Fitting Higher-Lag AR Models for Prices.mp4 63.16 MB
07 Modeling Autoregression The AR Model/037 Using Returns Instead of Prices.mp4 31.38 MB
07 Modeling Autoregression The AR Model/038 Examining the ACF and PACF of Returns.mp4 15.67 MB
07 Modeling Autoregression The AR Model/039 Fitting an AR(1) Model for Index Returns.mp4 13.37 MB
07 Modeling Autoregression The AR Model/040 Fitting Higher-Lag AR Models for Returns.mp4 26.88 MB
07 Modeling Autoregression The AR Model/041 Normalizing Values.mp4 33.08 MB
07 Modeling Autoregression The AR Model/042 Model Selection for Normalized Returns (AR).mp4 19.83 MB
07 Modeling Autoregression The AR Model/043 Examining the AR Model Residuals.mp4 28.78 MB
07 Modeling Autoregression The AR Model/044 Unexpected Shocks from Past Periods.mp4 16.77 MB
08 Adjusting to Shocks The MA Model/045 The Moving Average (MA) Model.mp4 29.46 MB
08 Adjusting to Shocks The MA Model/046 Fitting an MA(1) Model for Returns.mp4 21.52 MB
08 Adjusting to Shocks The MA Model/047 Fitting Higher-Lag MA Models for Returns.mp4 55.85 MB
08 Adjusting to Shocks The MA Model/048 Examining the MA Model Residuals for Returns.mp4 33.48 MB
08 Adjusting to Shocks The MA Model/049 Model Selection for Normalized Returns (MA).mp4 19.1 MB
08 Adjusting to Shocks The MA Model/050 Fitting an MA(1) Model for Prices.mp4 28.34 MB
08 Adjusting to Shocks The MA Model/051 Past Values and Past Errors.mp4 20.46 MB
09 Past Values and Past Errors The ARMA Model/052 The Autoregressive Moving Average (ARMA) Model.mp4 28.34 MB
09 Past Values and Past Errors The ARMA Model/053 Fitting a Simple ARMA Model for Returns.mp4 28.41 MB
09 Past Values and Past Errors The ARMA Model/054 Fitting a Higher-Lag ARMA Model for Returns - Part 1.mp4 39.54 MB
09 Past Values and Past Errors The ARMA Model/055 Fitting a Higher-Lag ARMA Model for Returns - Part 2.mp4 38.18 MB
09 Past Values and Past Errors The ARMA Model/056 Fitting a Higher-Lag ARMA Model for Returns - Part 3.mp4 43.81 MB
09 Past Values and Past Errors The ARMA Model/057 Examining the ARMA Model Residuals of Returns.mp4 51.27 MB
09 Past Values and Past Errors The ARMA Model/058 ARMA for Prices.mp4 55.97 MB
09 Past Values and Past Errors The ARMA Model/059 ARMA Models and Non-Stationary Data.mp4 14.87 MB
10 Modeling Non-Stationary Data The ARIMA Model/060 The Autoregressive Integrated Moving Average (ARIMA) Model.mp4 46.9 MB
10 Modeling Non-Stationary Data The ARIMA Model/061 Fitting a Simple ARIMA Model for Prices.mp4 39.21 MB
10 Modeling Non-Stationary Data The ARIMA Model/062 Fitting a Higher-Lag ARIMA Model for Prices - Part 1.mp4 41.85 MB
10 Modeling Non-Stationary Data The ARIMA Model/063 Fitting a Higher-Lag ARIMA Model for Prices - Part 2.mp4 43.65 MB
10 Modeling Non-Stationary Data The ARIMA Model/064 Higher Levels of Integration.mp4 24.41 MB
10 Modeling Non-Stationary Data The ARIMA Model/065 Using ARIMA Models for Returns.mp4 24.4 MB
10 Modeling Non-Stationary Data The ARIMA Model/066 Outside Factors and the ARIMAX Model.mp4 24.21 MB
10 Modeling Non-Stationary Data The ARIMA Model/067 Seasonal Models - SARIMAX.mp4 46.95 MB
10 Modeling Non-Stationary Data The ARIMA Model/068 Predicting Stability.mp4 16.98 MB
11 Measuring Volatility The ARCH Model/069 The Autoregressive Conditional Heteroscedasticity (ARCH) Model.mp4 43.03 MB
11 Measuring Volatility The ARCH Model/070 Volatility.mp4 28.15 MB
11 Measuring Volatility The ARCH Model/071 A More Detailed Look of the ARCH Model.mp4 43.36 MB
11 Measuring Volatility The ARCH Model/072 The arch_model Method.mp4 55.86 MB
11 Measuring Volatility The ARCH Model/073 The Simple ARCH Model.mp4 52.89 MB
11 Measuring Volatility The ARCH Model/074 Higher-Lag ARCH Models.mp4 28.47 MB
11 Measuring Volatility The ARCH Model/075 An ARMA Equivalent of the ARCH Model.mp4 12.4 MB
12 An ARMA Equivalent of the ARCH The GARCH Model/076 The Generalized Autoregressive Conditional Heteroskedasticity (GARCH) Model.mp4 24.41 MB
12 An ARMA Equivalent of the ARCH The GARCH Model/077 The ARMA and the GARCH.mp4 18.09 MB
12 An ARMA Equivalent of the ARCH The GARCH Model/078 The Simple GARCH Model.mp4 25.46 MB
12 An ARMA Equivalent of the ARCH The GARCH Model/079 Higher-Lag GARCH Models.mp4 29.76 MB
12 An ARMA Equivalent of the ARCH The GARCH Model/080 An Alternative to the Model Selection Process.mp4 13.37 MB
13 Auto ARIMA/081 Auto ARIMA.mp4 43.06 MB
13 Auto ARIMA/082 Preparing Python for Model Selection.mp4 11.44 MB
13 Auto ARIMA/083 The Default Best Fit.mp4 41.1 MB
13 Auto ARIMA/084 Basic Auto ARIMA Arguments.mp4 87.42 MB
13 Auto ARIMA/085 Advanced Auto ARIMA Arguments.mp4 40.83 MB
13 Auto ARIMA/086 The Goal Behind Modelling.mp4 10.63 MB
14 Forecasting/087 Introduction to Forecasting.mp4 51.25 MB
14 Forecasting/088 Simple Forecasting Returns with AR and MA.mp4 28.8 MB
14 Forecasting/089 Intermediate (MAX Model) Forecasting.mp4 39.98 MB
14 Forecasting/090 Advanced (Seasonal) Forecasting.mp4 24.93 MB
14 Forecasting/091 Auto ARIMA Forecasting.mp4 28.39 MB
14 Forecasting/092 Pitfalls of Forecasting.mp4 47.88 MB
14 Forecasting/093 Forecasting Volatility.mp4 36.58 MB
14 Forecasting/094 Forecasting Appendix Multivariate Forecasting.mp4 57.67 MB
15 Business Case/095 Business Case - A Look Into the Automobile Industry.mp4 186.23 MB
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