365 Data Science - Time Series Analysis in Python [CoursesGhar]

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  1. !! IMPORTANT Note !!.txt 298B
  2. !!! Please Support !!! [CoursesGhar.Com].txt 197B
  3. 00. Websites You May Like/A1movies.com.pk.url 116B
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  5. 1. Introduction/1. What does the course cover.mp4 18.76MB
  6. 10. The Autoregressive Integrated Moving Average (ARIMA) Model/1. The ARIMA Model.mp4 18.73MB
  7. 10. The Autoregressive Integrated Moving Average (ARIMA) Model/2. Fitting a Simple ARIMA Model for Prices.mp4 18.01MB
  8. 10. The Autoregressive Integrated Moving Average (ARIMA) Model/3. Fitting a Higher Lag ARIMA Model for Prices - part 1.mp4 15.58MB
  9. 10. The Autoregressive Integrated Moving Average (ARIMA) Model/4. Fitting a Higher Lag ARIMA Model for Prices - part 2.mp4 17.85MB
  10. 10. The Autoregressive Integrated Moving Average (ARIMA) Model/5. Higher Levels of Integration.mp4 10.76MB
  11. 10. The Autoregressive Integrated Moving Average (ARIMA) Model/6. Using ARIMA Models for Returns.mp4 12.18MB
  12. 10. The Autoregressive Integrated Moving Average (ARIMA) Model/7. Outside Factors and the ARIMAX Model.mp4 10.27MB
  13. 10. The Autoregressive Integrated Moving Average (ARIMA) Model/8. Seasonal Models - the SARIMAX Model.mp4 17.05MB
  14. 10. The Autoregressive Integrated Moving Average (ARIMA) Model/9. Predicting Stability.mp4 6.95MB
  15. 11. The ARCH Model/1. The ARCH Model.mp4 16.42MB
  16. 11. The ARCH Model/2. Volatility.mp4 10.95MB
  17. 11. The ARCH Model/3. A More Detailed Look of the ARCH Model.mp4 16.28MB
  18. 11. The ARCH Model/4. The arch_model Method.mp4 23.80MB
  19. 11. The ARCH Model/5. The Simple ARCH Model.mp4 21.96MB
  20. 11. The ARCH Model/6. Higher Lag ARCH Models.mp4 13.57MB
  21. 11. The ARCH Model/7. An ARMA Equivalent of the ARCH Model.mp4 5.43MB
  22. 12. The GARCH Model/1. The GARCH Model.mp4 9.26MB
  23. 12. The GARCH Model/2. The ARMA and the GARCH.mp4 7.05MB
  24. 12. The GARCH Model/3. The Simple GARCH Model.mp4 12.71MB
  25. 12. The GARCH Model/4. Higher-Lag GARCH Models.mp4 15.94MB
  26. 12. The GARCH Model/5. An Alternative to the Model Selection Process.mp4 7.14MB
  27. 13. Auto ARIMA/1. Auto ARIMA.mp4 15.94MB
  28. 13. Auto ARIMA/2. Preparing Python for Model Selection.mp4 5.36MB
  29. 13. Auto ARIMA/3. The Default Best Fit.mp4 14.98MB
  30. 13. Auto ARIMA/4. Basic Auto ARIMA Arguments.mp4 30.31MB
  31. 13. Auto ARIMA/5. Advanced Auto ARIMA Arguments.mp4 13.93MB
  32. 13. Auto ARIMA/6. The Goal Behind Modeling.mp4 5.00MB
  33. 14. Forecasting/1. Introduction to Forecasting.mp4 21.54MB
  34. 14. Forecasting/2. Simple Forecasting (Returns with AR and MA).mp4 14.54MB
  35. 14. Forecasting/3. Intermediate Forecasting (MAX Models).mp4 16.66MB
  36. 14. Forecasting/4. Advanced Forecasting (Seasonal Models).mp4 10.19MB
  37. 14. Forecasting/5. Auto ARIMA Forecasting.mp4 12.47MB
  38. 14. Forecasting/6. Pitfalls of Forecasting.mp4 19.83MB
  39. 14. Forecasting/7. Forecasting Volatility.mp4 14.63MB
  40. 14. Forecasting/8. Appendix - Multiple Regression Forecasting.mp4 24.21MB
  41. 15. Business Case/1. Business Case - A Look Into the Automobile Industry.mp4 77.44MB
  42. 2. Setting up the working environment/1. Setting up the environment - Do not skip, please!.mp4 2.37MB
  43. 2. Setting up the working environment/2. Why Python and Jupyter.mp4 9.34MB
  44. 2. Setting up the working environment/3. Installing Anaconda.mp4 8.42MB
  45. 2. Setting up the working environment/4. Jupyter Dashboard - Part 1.mp4 4.10MB
  46. 2. Setting up the working environment/5. Jupyter Dashboard - Part 2.mp4 8.83MB
  47. 2. Setting up the working environment/6. Installing the Necessary Packages.mp4 3.38MB
  48. 3. Introduction to Time Series in Python/1. Introduction to Time Series Data.mp4 18.90MB
  49. 3. Introduction to Time Series in Python/2. Notation for Time Series Data.mp4 4.26MB
  50. 3. Introduction to Time Series in Python/3. Peculiarities.mp4 9.26MB
  51. 3. Introduction to Time Series in Python/4. Loading the Data.mp4 5.13MB
  52. 3. Introduction to Time Series in Python/5. Examining the Data.mp4 13.59MB
  53. 3. Introduction to Time Series in Python/6. Plotting the Data.mp4 8.68MB
  54. 3. Introduction to Time Series in Python/7. The QQ Plot.mp4 6.69MB
  55. 4. Creating a Time Series Object in Python/1. Transforming String inputs into DateTime Values.mp4 10.59MB
  56. 4. Creating a Time Series Object in Python/2. Using Dates as Indices.mp4 6.17MB
  57. 4. Creating a Time Series Object in Python/3. Setting the Frequency.mp4 6.76MB
  58. 4. Creating a Time Series Object in Python/4. Filling Missing Values.mp4 11.69MB
  59. 4. Creating a Time Series Object in Python/5. Adding and Removing Columns in a Data Frame.mp4 6.61MB
  60. 4. Creating a Time Series Object in Python/6. Splitting up the Data.mp4 9.72MB
  61. 5. Working with Time Series in Python/1. White Noise.mp4 18.99MB
  62. 5. Working with Time Series in Python/2. Random Walk.mp4 13.57MB
  63. 5. Working with Time Series in Python/3. Stationarity.mp4 7.59MB
  64. 5. Working with Time Series in Python/4. Determining Weak Form Stationarity.mp4 15.52MB
  65. 5. Working with Time Series in Python/5. Seasonality.mp4 14.89MB
  66. 5. Working with Time Series in Python/6. Correlation Between Past and Present Values.mp4 4.74MB
  67. 5. Working with Time Series in Python/7. The ACF.mp4 14.17MB
  68. 5. Working with Time Series in Python/8. The PACF.mp4 11.96MB
  69. 6. Picking the Correct Model/1. A Quick Guide to Picking the Correct Model.mp4 8.14MB
  70. 7. The Autoregressive (AR) Model/1. The AR Model.mp4 17.76MB
  71. 7. The Autoregressive (AR) Model/10. Model Selection for Normalized Returns.mp4 8.43MB
  72. 7. The Autoregressive (AR) Model/11. Examining the AR Model Residuals.mp4 14.10MB
  73. 7. The Autoregressive (AR) Model/12. Unexpected Shocks from Past Periods.mp4 8.99MB
  74. 7. The Autoregressive (AR) Model/2. Examining the ACF and PACF of Prices.mp4 14.91MB
  75. 7. The Autoregressive (AR) Model/3. Fitting an AR(1) Model for Index Prices.mp4 13.60MB
  76. 7. The Autoregressive (AR) Model/4. Fitting Higher Lag AR Models for Prices.mp4 26.30MB
  77. 7. The Autoregressive (AR) Model/5. Using Returns.mp4 15.01MB
  78. 7. The Autoregressive (AR) Model/6. Examining the ACF and PACF of Returns.mp4 7.12MB
  79. 7. The Autoregressive (AR) Model/7. Fitting an AR(1) Model for Index Returns.mp4 6.94MB
  80. 7. The Autoregressive (AR) Model/8. Fitting Higher Lag AR Models for Returns.mp4 13.87MB
  81. 7. The Autoregressive (AR) Model/9. Normalizing Values.mp4 17.34MB
  82. 8. The Moving Average (MA) Model/1. The MA Model.mp4 11.82MB
  83. 8. The Moving Average (MA) Model/2. Fitting an MA(1) Model for Returns.mp4 10.71MB
  84. 8. The Moving Average (MA) Model/3. Fitting Higher-Lag MA Models for Returns.mp4 24.95MB
  85. 8. The Moving Average (MA) Model/4. Examining the MA Model Residuals for Returns.mp4 15.33MB
  86. 8. The Moving Average (MA) Model/5. Model Selection for Normalized Returns.mp4 8.33MB
  87. 8. The Moving Average (MA) Model/6. Fitting an MA(1) Model for Prices.mp4 13.49MB
  88. 8. The Moving Average (MA) Model/7. Past Values and Past Errors.mp4 9.19MB
  89. 9. The Autoregressive Moving Average (ARMA) Model/1. The ARMA Model.mp4 11.45MB
  90. 9. The Autoregressive Moving Average (ARMA) Model/2. Fitting a Simple ARMA Model for Returns.mp4 12.18MB
  91. 9. The Autoregressive Moving Average (ARMA) Model/3. Fitting a Higher-Lag ARMA Model for Returns - part 1.mp4 21.95MB
  92. 9. The Autoregressive Moving Average (ARMA) Model/4. Fitting a Higher-Lag ARMA Model for Returns - part 2.mp4 17.51MB
  93. 9. The Autoregressive Moving Average (ARMA) Model/5. Fitting a Higher-Lag ARMA Model for Returns - part 3.mp4 19.46MB
  94. 9. The Autoregressive Moving Average (ARMA) Model/6. Examining the ARMA Model Residuals of Returns.mp4 22.65MB
  95. 9. The Autoregressive Moving Average (ARMA) Model/7. ARMA for Prices.mp4 21.69MB
  96. 9. The Autoregressive Moving Average (ARMA) Model/8. ARMA Models and Non-stationary Data.mp4 6.32MB
  97. Join Our Telegram Group For More Updates !!!.url 138B
  98. Uploaded by [Coursesghar.com].txt 1.10KB
  99. Visit coursesghar.com for more awesome tutorials.url 114B