UdemyCourseDownloader Python for Time Series Data Analysis | C241952A452A95BB26551C6F8A77B2EB6622C4F4

UdemyCourseDownloader Python for Time Series Data Analysis

Name	[UdemyCourseDownloader] Python for Time Series Data Analysis	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.7 GB
Total Files	99
Hash	C241952A452A95BB26551C6F8A77B2EB6622C4F4

/08. General Forecasting Models/
066. ARMA and ARIMA - AutoRegressive Integrated Moving Average - Part Two.mp4	67.7 MB
050. Introduction to General Forecasting Section.mp4	5.5 MB
051. Introduction to Forecasting Models Part One.mp4	23.1 MB
052. Evaluating Forecast Predictions.mp4	13.5 MB
053. Introduction to Forecasting Models Part Two.mp4	21.2 MB
054. ACF and PACF Theory.mp4	14.5 MB
055. ACF and PACF Code Along.mp4	28.6 MB
056. ARIMA Overview.mp4	21.0 MB
057. Autoregression - AR - Overview.mp4	8.7 MB
058. Autoregression - AR with Statsmodels.mp4	43.8 MB
059. Descriptive Statistics and Tests - Part One.mp4	12.6 MB
060. Descriptive Statistics and Tests - Part Two.mp4	51.3 MB
061. Descriptive Statistics and Tests - Part Three.mp4	13.0 MB
062. ARIMA Theory Overview.mp4	9.0 MB
063. Choosing ARIMA Orders - Part One.mp4	10.1 MB
064. Choosing ARIMA Orders - Part Two.mp4	33.3 MB
065. ARMA and ARIMA - AutoRegressive Integrated Moving Average - Part One.mp4	22.8 MB
067. SARIMA - Seasonal Autoregressive Integrated Moving Average.mp4	36.7 MB
068. SARIMAX - Seasonal Autoregressive Integrated Moving Average Exogenous - PART ONE.mp4	11.3 MB
069. SARIMAX - Seasonal Autoregressive Integrated Moving Average Exogenous - PART TWO.mp4	45.1 MB
070. SARIMAX - Seasonal Autoregressive Integrated Moving Average Exogenous - PART 3.mp4	38.5 MB
071. Vector AutoRegression - VAR.mp4	8.7 MB
072. VAR - Code Along.mp4	32.7 MB
073. VAR - Code Along - Part Two.mp4	39.6 MB
074. Vector AutoRegression Moving Average - VARMA.mp4	4.2 MB
075. Vector AutoRegression Moving Average - VARMA - Code Along.mp4	30.6 MB
076. Forecasting Exercises.mp4	6.4 MB
077. Forecasting Exercises - Solutions.mp4	20.3 MB
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udemycoursedownloader.com.url	0.1 KB
Udemy Course downloader.txt	0.1 KB
/01. Introduction/
001. Course Overview - PLEASE DO NOT SKIP THIS LECTURE.mp4	10.3 MB
001.1 UDEMY_TSA_FINAL.zip	11.4 MB
002. Course Overview Check.html	0.1 KB
003. Course Curriculum Overview.mp4	6.3 MB
004. FAQ - Frequently Asked Questions.html	5.3 KB
004.1 UDEMY_TSA_FINAL.zip	11.4 MB
/02. Course Set Up and Install/
005. Installing Anaconda Python Distribution and Jupyter.mp4	28.0 MB
005.1 TSA_COURSE_NOTEBOOKS.zip	12.3 MB
005.2 The .yml file..html	0.1 KB
/03. NumPy/
006. NumPy Section Overview.mp4	1.1 MB
007. NumPy Arrays - Part One.mp4	18.2 MB
008. NumPy Arrays - Part Two.mp4	14.2 MB
009. NumPy Indexing and Selection.mp4	18.1 MB
010. NumPy Operations.mp4	10.9 MB
011. NumPy Exercises.mp4	4.7 MB
012. NumPy Exercise Solutions.mp4	16.0 MB
/04. Pandas Overview/
013. Introduction to Pandas.mp4	1.8 MB
014. Series.mp4	14.6 MB
015. DataFrames - Part One.mp4	24.8 MB
016. DataFrames - Part Two.mp4	21.6 MB
017. Missing Data with Pandas.mp4	12.6 MB
018. Group By Operations.mp4	9.0 MB
019. Common Operations.mp4	14.6 MB
020. Data Input and Output.mp4	21.8 MB
021. Pandas Exercises.mp4	8.2 MB
022. Pandas Exercises Solutions.mp4	28.2 MB
/05. Data Visualization with Pandas/
023. Overview of Capabilities of Data Visualization with Pandas.mp4	2.5 MB
024. Visualizing Data with Pandas.mp4	34.2 MB
025. Customizing Plots created with Pandas.mp4	17.3 MB
026. Pandas Data Visualization Exercise.mp4	7.3 MB
027. Pandas Data Visualization Exercise Solutions.mp4	15.3 MB
/06. Time Series with Pandas/
028. Overview of Time Series with Pandas.mp4	1.9 MB
029. DateTime Index.mp4	15.1 MB
030. DateTime Index Part Two.mp4	20.8 MB
031. Time Resampling.mp4	23.5 MB
032. Time Shifting.mp4	9.6 MB
033. Rolling and Expanding.mp4	16.1 MB
034. Visualizing Time Series Data.mp4	21.6 MB
035. Visualizing Time Series Data - Part Two.mp4	24.5 MB
036. Time Series Exercises - Set One.mp4	3.8 MB
037. Time Series Exercises - Set One - Solutions.mp4	9.7 MB
038. Time Series with Pandas Project Exercise - Set Two.mp4	11.9 MB
039. Time Series with Pandas Project Exercise - Set Two - Solutions.mp4	28.7 MB
/07. Time Series Analysis with Statsmodels/
040. Introduction to Time Series Analysis with Statsmodels.mp4	2.1 MB
041. Introduction to Statsmodels Library.mp4	22.6 MB
042. ETS Decomposition.mp4	18.6 MB
043. EWMA - Theory.mp4	7.0 MB
044. EWMA - Exponentially Weighted Moving Average.mp4	27.5 MB
045. Holt - Winters Methods Theory.mp4	14.7 MB
046. Holt - Winters Methods Code Along - Part One.mp4	19.0 MB
047. Holt - Winters Methods Code Along - Part Two.mp4	27.9 MB
048. Statsmodels Time Series Exercises.mp4	7.4 MB
049. Statsmodels Time Series Exercise Solutions.mp4	13.4 MB
/09. Deep Learning for Time Series Forecasting/
078. Introduction to Deep Learning Section.mp4	6.8 MB
079. Perceptron Model.mp4	7.2 MB
080. Introduction to Neural Networks.mp4	9.4 MB
081. Keras Basics.mp4	30.5 MB
082. Recurrent Neural Network Overview.mp4	10.8 MB
083. LSTMS and GRU.mp4	14.4 MB
084. Keras and RNN Project - Part One.mp4	22.1 MB
085. Keras and RNN Project - Part Two.mp4	21.6 MB
086. Keras and RNN Project - Part Three.mp4	49.0 MB
087. Keras and RNN Exercise.mp4	10.2 MB
088. Keras and RNN Exercise Solutions.mp4	27.4 MB
/10. Facebook's Prophet Library/
089. Overview of Facebook's Prophet Library.mp4	5.0 MB
090. Facebook's Prophet Library.mp4	36.5 MB
091. Facebook Prophet Evaluation.mp4	37.3 MB
092. Facebook Prophet Trend.mp4	8.3 MB
093. Facebook Prophet Seasonality.mp4	12.8 MB
Total files 99