UDEMY Time Series Analysis and Forecasting using Python BOOKWARE-iLEARN | Apps-Tutorials | MP4 | 4.34 GiB
968 kb/s 1280×720 | AAC 128 kb/s 2 CH
23M 1. Welcome to the course.mp4 66M 11. Opening Jupyter Notebook.mp4 41M 12. Introduction to Jupyter.mp4 13M 13. Arithmetic operators in Python Python Basics.mp4 65M 14. Strings in Python Python Basics.mp4 61M 15. Lists, Tuples and Directories Python Basics.mp4 44M 16. Working with Numpy Library of Python.mp4 47M 17. Working with Pandas Library of Python.mp4 41M 18. Working with Seaborn Library of Python.mp4 109M 19. Data Loading in Python.mp4 13M 2. What is Time Series Forecasting.mp4 60M 20. Time Series - Feature Engineering Basics.mp4 113M 21. Time Series - Feature Engineering in Python.mp4 17M 22. Time Series - Upsampling and Downsampling.mp4 101M 23. Time Series - Upsampling and Downsampling in Python.mp4 64M 24. Time Series - Visualization Basics.mp4 166M 25. Time Series - Visualization in Python.mp4 15M 26. Time Series - Power Transformation.mp4 39M 27. Moving Average.mp4 8.4M 28. Exponential Smoothing.mp4 12M 29. White Noise.mp4 22M 30. Random Walk.mp4 60M 31. Decomposing Time Series in Python.mp4 33M 32. Differencing.mp4 113M 33. Differencing in Python.mp4 58M 34. Test Train Split in Python.mp4 44M 35. Naive (Persistence) model in Python.mp4 17M 36. Auto Regression Model - Basics.mp4 54M 37. Auto Regression Model creation in Python.mp4 50M 38. Auto Regression with Walk Forward validation in Python.mp4 25M 39. Moving Average model -Basics.mp4 21M 4. This is a milestone!.mp4 57M 40. Moving Average model in Python.mp4 42M 41. ACF and PACF.mp4 22M 42. ARIMA model - Basics.mp4 75M 43. ARIMA model in Python.mp4 33M 44. ARIMA model with Walk Forward Validation in Python.mp4 40M 45. SARIMA model.mp4 67M 46. SARIMA model in Python.mp4 5.6M 47. Stationary Time Series.mp4 9.3M 48. Introduction.mp4 26M 5. Time Series Forecasting - Use cases.mp4 15M 50. Gathering Business Knowledge.mp4 21M 51. Data Exploration.mp4 70M 52. The Dataset and the Data Dictionary.mp4 28M 53. Importing Data in Python.mp4 25M 54. Univariate analysis and EDD.mp4 62M 55. EDD in Python.mp4 25M 56. Outlier Treatment.mp4 71M 57. Outlier Treatment in Python.mp4 25M 58. Missing Value Imputation.mp4 24M 59. Missing Value Imputation in Python.mp4 11M 6. Forecasting model creation - Steps.mp4 18M 60. Seasonality in Data.mp4 101M 61. Bi-variate analysis and Variable transformation.mp4 45M 62. Variable transformation and deletion in Python.mp4 21M 63. Non-usable variables.mp4 37M 64. Dummy variable creation Handling qualitative data.mp4 27M 65. Dummy variable creation in Python.mp4 72M 66. Correlation Analysis.mp4 56M 67. Correlation Analysis in Python.mp4 9.4M 68. The Problem Statement.mp4 44M 69. Basic Equations and Ordinary Least Squares (OLS) method.mp4 35M 7. Forecasting model creation - Steps 1 (Goal).mp4 93M 70. Assessing accuracy of predicted coefficients.mp4 44M 71. Assessing Model Accuracy RSE and R squared.mp4 64M 72. Simple Linear Regression in Python.mp4 35M 73. Multiple Linear Regression.mp4 56M 74. The F - statistic.mp4 23M 75. Interpreting results of Categorical variables.mp4 70M 76. Multiple Linear Regression in Python.mp4 42M 77. Test-train split.mp4 26M 78. Bias Variance trade-off.mp4 63M 8. Time Series - Basic Notations.mp4 45M 80. Test train split in Python.mp4 30M 81. Introduction to Neural Networks and Course flow.mp4 45M 82. Perceptron.mp4 35M 83. Activation Functions.mp4 87M 84. Python - Creating Perceptron model.mp4 41M 85. Basic Terminologies.mp4 61M 86. Gradient Descent.mp4 123M 87. Back Propagation.mp4 63M 88. Some Important Concepts.mp4 46M 89. Hyperparameters.mp4 17M 9. Installing Python and Anaconda.mp4 15M 90. Keras and Tensorflow.mp4 21M 91. Installing Tensorflow and Keras.mp4 57M 92. Dataset for classification.mp4 45M 93. Normalization and Test-Train split.mp4 11M 94. Different ways to create ANN using Keras.mp4 80M 95. Building the Neural Network using Keras.mp4 82M 96. Compiling and Training the Neural Network model.mp4 70M 97. Evaluating performance and Predicting using Keras.mp4 156M 98. Building Neural Network for Regression Problem.mp4 12M 99. The final milestone!.mp4 4.4G total
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