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[UdemyCourseDownloader] Python for Time Series Data Analysis
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Torrent Files List
08. General Forecasting Models (Size: 1.61 GB) (Files: 99)
08. General Forecasting Models
066. ARMA and ARIMA - AutoRegressive Integrated Moving Average - Part Two.mp4
050. Introduction to General Forecasting Section.mp4
051. Introduction to Forecasting Models Part One.mp4
052. Evaluating Forecast Predictions.mp4
053. Introduction to Forecasting Models Part Two.mp4
054. ACF and PACF Theory.mp4
055. ACF and PACF Code Along.mp4
056. ARIMA Overview.mp4
057. Autoregression - AR - Overview.mp4
058. Autoregression - AR with Statsmodels.mp4
059. Descriptive Statistics and Tests - Part One.mp4
060. Descriptive Statistics and Tests - Part Two.mp4
061. Descriptive Statistics and Tests - Part Three.mp4
062. ARIMA Theory Overview.mp4
063. Choosing ARIMA Orders - Part One.mp4
064. Choosing ARIMA Orders - Part Two.mp4
065. ARMA and ARIMA - AutoRegressive Integrated Moving Average - Part One.mp4
067. SARIMA - Seasonal Autoregressive Integrated Moving Average.mp4
068. SARIMAX - Seasonal Autoregressive Integrated Moving Average Exogenous - PART ONE.mp4
069. SARIMAX - Seasonal Autoregressive Integrated Moving Average Exogenous - PART TWO.mp4
070. SARIMAX - Seasonal Autoregressive Integrated Moving Average Exogenous - PART 3.mp4
071. Vector AutoRegression - VAR.mp4
072. VAR - Code Along.mp4
073. VAR - Code Along - Part Two.mp4
074. Vector AutoRegression Moving Average - VARMA.mp4
075. Vector AutoRegression Moving Average - VARMA - Code Along.mp4
076. Forecasting Exercises.mp4
077. Forecasting Exercises - Solutions.mp4
udemycoursedownloader.com.url
01. Introduction
001. Course Overview - PLEASE DO NOT SKIP THIS LECTURE.mp4
001.1 UDEMY_TSA_FINAL.zip
002. Course Overview Check.html
003. Course Curriculum Overview.mp4
004. FAQ - Frequently Asked Questions.html
004.1 UDEMY_TSA_FINAL.zip
02. Course Set Up and Install
005. Installing Anaconda Python Distribution and Jupyter.mp4
005.1 TSA_COURSE_NOTEBOOKS.zip
005.2 The .yml file..html
03. NumPy
006. NumPy Section Overview.mp4
007. NumPy Arrays - Part One.mp4
008. NumPy Arrays - Part Two.mp4
009. NumPy Indexing and Selection.mp4
010. NumPy Operations.mp4
011. NumPy Exercises.mp4
012. NumPy Exercise Solutions.mp4
04. Pandas Overview
013. Introduction to Pandas.mp4
014. Series.mp4
015. DataFrames - Part One.mp4
016. DataFrames - Part Two.mp4
017. Missing Data with Pandas.mp4
018. Group By Operations.mp4
019. Common Operations.mp4
020. Data Input and Output.mp4
021. Pandas Exercises.mp4
022. Pandas Exercises Solutions.mp4
05. Data Visualization with Pandas
023. Overview of Capabilities of Data Visualization with Pandas.mp4
024. Visualizing Data with Pandas.mp4
025. Customizing Plots created with Pandas.mp4
026. Pandas Data Visualization Exercise.mp4
027. Pandas Data Visualization Exercise Solutions.mp4
06. Time Series with Pandas
028. Overview of Time Series with Pandas.mp4
029. DateTime Index.mp4
030. DateTime Index Part Two.mp4
031. Time Resampling.mp4
032. Time Shifting.mp4
033. Rolling and Expanding.mp4
034. Visualizing Time Series Data.mp4
035. Visualizing Time Series Data - Part Two.mp4
036. Time Series Exercises - Set One.mp4
037. Time Series Exercises - Set One - Solutions.mp4
038. Time Series with Pandas Project Exercise - Set Two.mp4
039. Time Series with Pandas Project Exercise - Set Two - Solutions.mp4
07. Time Series Analysis with Statsmodels
040. Introduction to Time Series Analysis with Statsmodels.mp4
041. Introduction to Statsmodels Library.mp4
042. ETS Decomposition.mp4
043. EWMA - Theory.mp4
044. EWMA - Exponentially Weighted Moving Average.mp4
045. Holt - Winters Methods Theory.mp4
046. Holt - Winters Methods Code Along - Part One.mp4
047. Holt - Winters Methods Code Along - Part Two.mp4
048. Statsmodels Time Series Exercises.mp4
049. Statsmodels Time Series Exercise Solutions.mp4
Udemy Course downloader.txt
09. Deep Learning for Time Series Forecasting
078. Introduction to Deep Learning Section.mp4
079. Perceptron Model.mp4
080. Introduction to Neural Networks.mp4
081. Keras Basics.mp4
082. Recurrent Neural Network Overview.mp4
083. LSTMS and GRU.mp4
084. Keras and RNN Project - Part One.mp4
085. Keras and RNN Project - Part Two.mp4
086. Keras and RNN Project - Part Three.mp4
087. Keras and RNN Exercise.mp4
088. Keras and RNN Exercise Solutions.mp4
10. Facebook's Prophet Library
089. Overview of Facebook's Prophet Library.mp4
090. Facebook's Prophet Library.mp4
091. Facebook Prophet Evaluation.mp4
092. Facebook Prophet Trend.mp4
093. Facebook Prophet Seasonality.mp4
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