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08. General Forecasting Models/066. ARMA and ARIMA - AutoRegressive Integrated Moving Average - Part Two.mp4 67.7 MB
08. General Forecasting Models/060. Descriptive Statistics and Tests - Part Two.mp4 51.3 MB
09. Deep Learning for Time Series Forecasting/086. Keras and RNN Project - Part Three.mp4 49.0 MB
08. General Forecasting Models/069. SARIMAX - Seasonal Autoregressive Integrated Moving Average Exogenous - PART TWO.mp4 45.1 MB
08. General Forecasting Models/058. Autoregression - AR with Statsmodels.mp4 43.8 MB
08. General Forecasting Models/073. VAR - Code Along - Part Two.mp4 39.6 MB
08. General Forecasting Models/070. SARIMAX - Seasonal Autoregressive Integrated Moving Average Exogenous - PART 3.mp4 38.5 MB
10. Facebook's Prophet Library/091. Facebook Prophet Evaluation.mp4 37.3 MB
08. General Forecasting Models/067. SARIMA - Seasonal Autoregressive Integrated Moving Average.mp4 36.7 MB
10. Facebook's Prophet Library/090. Facebook's Prophet Library.mp4 36.5 MB
05. Data Visualization with Pandas/024. Visualizing Data with Pandas.mp4 34.2 MB
08. General Forecasting Models/064. Choosing ARIMA Orders - Part Two.mp4 33.3 MB
08. General Forecasting Models/072. VAR - Code Along.mp4 32.7 MB
08. General Forecasting Models/075. Vector AutoRegression Moving Average - VARMA - Code Along.mp4 30.6 MB
09. Deep Learning for Time Series Forecasting/081. Keras Basics.mp4 30.5 MB
06. Time Series with Pandas/039. Time Series with Pandas Project Exercise - Set Two - Solutions.mp4 28.7 MB
08. General Forecasting Models/055. ACF and PACF Code Along.mp4 28.6 MB
04. Pandas Overview/022. Pandas Exercises Solutions.mp4 28.2 MB
02. Course Set Up and Install/005. Installing Anaconda Python Distribution and Jupyter.mp4 28.0 MB
07. Time Series Analysis with Statsmodels/047. Holt - Winters Methods Code Along - Part Two.mp4 27.9 MB
07. Time Series Analysis with Statsmodels/044. EWMA - Exponentially Weighted Moving Average.mp4 27.5 MB
09. Deep Learning for Time Series Forecasting/088. Keras and RNN Exercise Solutions.mp4 27.4 MB
04. Pandas Overview/015. DataFrames - Part One.mp4 24.8 MB
06. Time Series with Pandas/035. Visualizing Time Series Data - Part Two.mp4 24.5 MB
06. Time Series with Pandas/031. Time Resampling.mp4 23.5 MB
08. General Forecasting Models/051. Introduction to Forecasting Models Part One.mp4 23.1 MB
08. General Forecasting Models/065. ARMA and ARIMA - AutoRegressive Integrated Moving Average - Part One.mp4 22.8 MB
07. Time Series Analysis with Statsmodels/041. Introduction to Statsmodels Library.mp4 22.6 MB
09. Deep Learning for Time Series Forecasting/084. Keras and RNN Project - Part One.mp4 22.1 MB
04. Pandas Overview/020. Data Input and Output.mp4 21.8 MB
09. Deep Learning for Time Series Forecasting/085. Keras and RNN Project - Part Two.mp4 21.6 MB
04. Pandas Overview/016. DataFrames - Part Two.mp4 21.6 MB
06. Time Series with Pandas/034. Visualizing Time Series Data.mp4 21.6 MB
08. General Forecasting Models/053. Introduction to Forecasting Models Part Two.mp4 21.2 MB
08. General Forecasting Models/056. ARIMA Overview.mp4 21.0 MB
06. Time Series with Pandas/030. DateTime Index Part Two.mp4 20.8 MB
08. General Forecasting Models/077. Forecasting Exercises - Solutions.mp4 20.3 MB
07. Time Series Analysis with Statsmodels/046. Holt - Winters Methods Code Along - Part One.mp4 19.0 MB
07. Time Series Analysis with Statsmodels/042. ETS Decomposition.mp4 18.6 MB
03. NumPy/007. NumPy Arrays - Part One.mp4 18.2 MB
03. NumPy/009. NumPy Indexing and Selection.mp4 18.1 MB
05. Data Visualization with Pandas/025. Customizing Plots created with Pandas.mp4 17.3 MB
06. Time Series with Pandas/033. Rolling and Expanding.mp4 16.1 MB
03. NumPy/012. NumPy Exercise Solutions.mp4 16.0 MB
05. Data Visualization with Pandas/027. Pandas Data Visualization Exercise Solutions.mp4 15.3 MB
06. Time Series with Pandas/029. DateTime Index.mp4 15.1 MB
07. Time Series Analysis with Statsmodels/045. Holt - Winters Methods Theory.mp4 14.7 MB
04. Pandas Overview/019. Common Operations.mp4 14.6 MB
04. Pandas Overview/014. Series.mp4 14.6 MB
08. General Forecasting Models/054. ACF and PACF Theory.mp4 14.5 MB
09. Deep Learning for Time Series Forecasting/083. LSTMS and GRU.mp4 14.4 MB
03. NumPy/008. NumPy Arrays - Part Two.mp4 14.2 MB
08. General Forecasting Models/052. Evaluating Forecast Predictions.mp4 13.5 MB
07. Time Series Analysis with Statsmodels/049. Statsmodels Time Series Exercise Solutions.mp4 13.4 MB
08. General Forecasting Models/061. Descriptive Statistics and Tests - Part Three.mp4 13.0 MB
10. Facebook's Prophet Library/093. Facebook Prophet Seasonality.mp4 12.8 MB
04. Pandas Overview/017. Missing Data with Pandas.mp4 12.6 MB
08. General Forecasting Models/059. Descriptive Statistics and Tests - Part One.mp4 12.6 MB
02. Course Set Up and Install/005.1 TSA_COURSE_NOTEBOOKS.zip 12.3 MB
06. Time Series with Pandas/038. Time Series with Pandas Project Exercise - Set Two.mp4 11.9 MB
01. Introduction/001.1 UDEMY_TSA_FINAL.zip 11.4 MB
01. Introduction/004.1 UDEMY_TSA_FINAL.zip 11.4 MB
08. General Forecasting Models/068. SARIMAX - Seasonal Autoregressive Integrated Moving Average Exogenous - PART ONE.mp4 11.3 MB
03. NumPy/010. NumPy Operations.mp4 10.9 MB
09. Deep Learning for Time Series Forecasting/082. Recurrent Neural Network Overview.mp4 10.8 MB
01. Introduction/001. Course Overview - PLEASE DO NOT SKIP THIS LECTURE.mp4 10.3 MB
09. Deep Learning for Time Series Forecasting/087. Keras and RNN Exercise.mp4 10.2 MB
08. General Forecasting Models/063. Choosing ARIMA Orders - Part One.mp4 10.1 MB
06. Time Series with Pandas/037. Time Series Exercises - Set One - Solutions.mp4 9.7 MB
06. Time Series with Pandas/032. Time Shifting.mp4 9.6 MB
09. Deep Learning for Time Series Forecasting/080. Introduction to Neural Networks.mp4 9.4 MB
04. Pandas Overview/018. Group By Operations.mp4 9.0 MB
08. General Forecasting Models/062. ARIMA Theory Overview.mp4 9.0 MB
08. General Forecasting Models/057. Autoregression - AR - Overview.mp4 8.7 MB
08. General Forecasting Models/071. Vector AutoRegression - VAR.mp4 8.7 MB
10. Facebook's Prophet Library/092. Facebook Prophet Trend.mp4 8.3 MB
04. Pandas Overview/021. Pandas Exercises.mp4 8.2 MB
07. Time Series Analysis with Statsmodels/048. Statsmodels Time Series Exercises.mp4 7.4 MB
05. Data Visualization with Pandas/026. Pandas Data Visualization Exercise.mp4 7.3 MB
09. Deep Learning for Time Series Forecasting/079. Perceptron Model.mp4 7.2 MB
07. Time Series Analysis with Statsmodels/043. EWMA - Theory.mp4 7.0 MB
09. Deep Learning for Time Series Forecasting/078. Introduction to Deep Learning Section.mp4 6.8 MB
08. General Forecasting Models/076. Forecasting Exercises.mp4 6.4 MB
01. Introduction/003. Course Curriculum Overview.mp4 6.3 MB
08. General Forecasting Models/050. Introduction to General Forecasting Section.mp4 5.5 MB
10. Facebook's Prophet Library/089. Overview of Facebook's Prophet Library.mp4 5.0 MB
03. NumPy/011. NumPy Exercises.mp4 4.7 MB
08. General Forecasting Models/074. Vector AutoRegression Moving Average - VARMA.mp4 4.2 MB
06. Time Series with Pandas/036. Time Series Exercises - Set One.mp4 3.8 MB
05. Data Visualization with Pandas/023. Overview of Capabilities of Data Visualization with Pandas.mp4 2.5 MB
07. Time Series Analysis with Statsmodels/040. Introduction to Time Series Analysis with Statsmodels.mp4 2.1 MB
06. Time Series with Pandas/028. Overview of Time Series with Pandas.mp4 1.9 MB
04. Pandas Overview/013. Introduction to Pandas.mp4 1.8 MB
03. NumPy/006. NumPy Section Overview.mp4 1.1 MB
01. Introduction/004. FAQ - Frequently Asked Questions.html 5.3 kB
Readme.txt 962 Bytes
01. Introduction/002. Course Overview Check.html 140 Bytes
02. Course Set Up and Install/005.2 The .yml file..html 127 Bytes
[GigaCourse.com].url 49 Bytes

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