FreeCourseSite com Udemy Time Series Analysis Forecasting and Machine Learning

FreeCourseSite com Udemy Time Series Analysis Forecasting and Machine Learning

Name	[FreeCourseSite.com] Udemy - Time Series Analysis, Forecasting, and Machine Learning	DOWNLOAD Copy Link
Total Size	5.2 GB
Total Files	244
Last Seen	2025-01-19 23:49
Hash	0C7D86CE8AD7A9F8A303CD3CD375A2825B7C1D20

/0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FCS Forum].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/01 Welcome/
001 Introduction and Outline.en.srt	8.0 KB
001 Introduction and Outline.mp4	32.2 MB
002 Where to Get the Code.en.srt	16.4 KB
002 Where to Get the Code.mp4	65.0 MB
003 Warmup (Optional).en.srt	6.4 KB
003 Warmup (Optional).mp4	24.3 MB
external-assets-links.txt	0.1 KB
/02 Time Series Basics/
001 Time Series Basics Section Introduction.en.srt	6.2 KB
001 Time Series Basics Section Introduction.mp4	18.3 MB
002 What is a Time Series_.en.srt	6.7 KB
002 What is a Time Series_.mp4	33.8 MB
003 Modeling vs. Predicting.en.srt	3.5 KB
003 Modeling vs. Predicting.mp4	14.1 MB
004 Why Do We Care About Shapes_.en.srt	8.1 KB
004 Why Do We Care About Shapes_.mp4	30.9 MB
005 Types of Tasks.en.srt	9.5 KB
005 Types of Tasks.mp4	24.7 MB
006 Power, Log, and Box-Cox Transformations.en.srt	8.6 KB
006 Power, Log, and Box-Cox Transformations.mp4	34.2 MB
007 Power, Log, and Box-Cox Transformations in Code.en.srt	7.2 KB
007 Power, Log, and Box-Cox Transformations in Code.mp4	34.9 MB
008 Forecasting Metrics.en.srt	16.2 KB
008 Forecasting Metrics.mp4	45.8 MB
009 Financial Time Series Primer.en.srt	15.9 KB
009 Financial Time Series Primer.mp4	47.0 MB
010 Price Simulations in Code.en.srt	3.6 KB
010 Price Simulations in Code.mp4	19.2 MB
011 Random Walks and the Random Walk Hypothesis.en.srt	20.6 KB
011 Random Walks and the Random Walk Hypothesis.mp4	71.4 MB
012 The Naive Forecast and the Importance of Baselines.en.srt	9.8 KB
012 The Naive Forecast and the Importance of Baselines.mp4	31.6 MB
013 Naive Forecast and Forecasting Metrics in Code.en.srt	8.8 KB
013 Naive Forecast and Forecasting Metrics in Code.mp4	43.5 MB
014 Time Series Basics Section Summary.en.srt	4.6 KB
014 Time Series Basics Section Summary.mp4	12.7 MB
015 Suggestion Box.en.srt	5.0 KB
015 Suggestion Box.mp4	16.9 MB
/03 Exponential Smoothing and ETS Methods/
001 Exponential Smoothing Section Introduction.en.srt	4.1 KB
001 Exponential Smoothing Section Introduction.mp4	14.2 MB
002 Exponential Smoothing Intuition for Beginners.en.srt	7.7 KB
002 Exponential Smoothing Intuition for Beginners.mp4	25.1 MB
003 SMA Theory.en.srt	5.1 KB
003 SMA Theory.mp4	16.0 MB
004 SMA Code.en.srt	10.1 KB
004 SMA Code.mp4	56.2 MB
005 EWMA Theory.en.srt	15.5 KB
005 EWMA Theory.mp4	37.6 MB
006 EWMA Code.en.srt	10.2 KB
006 EWMA Code.mp4	41.3 MB
007 SES Theory.en.srt	14.7 KB
007 SES Theory.mp4	37.3 MB
008 SES Code.en.srt	15.5 KB
008 SES Code.mp4	72.9 MB
009 Holt's Linear Trend Model (Theory).en.srt	10.7 KB
009 Holt's Linear Trend Model (Theory).mp4	34.8 MB
010 Holt's Linear Trend Model (Code).en.srt	3.7 KB
010 Holt's Linear Trend Model (Code).mp4	20.0 MB
011 Holt-Winters (Theory).en.srt	15.9 KB
011 Holt-Winters (Theory).mp4	49.9 MB
012 Holt-Winters (Code).en.srt	10.2 KB
012 Holt-Winters (Code).mp4	52.2 MB
013 Walk-Forward Validation.en.srt	13.1 KB
013 Walk-Forward Validation.mp4	46.5 MB
014 Walk-Forward Validation in Code.en.srt	10.7 KB
014 Walk-Forward Validation in Code.mp4	63.2 MB
015 Application_ Sales Data.en.srt	5.5 KB
015 Application_ Sales Data.mp4	30.9 MB
016 Application_ Stock Predictions.en.srt	6.7 KB
016 Application_ Stock Predictions.mp4	42.5 MB
017 SMA Application_ COVID-19 Counting.en.srt	4.5 KB
017 SMA Application_ COVID-19 Counting.mp4	20.3 MB
018 SMA Application_ Algorithmic Trading.en.srt	3.0 KB
018 SMA Application_ Algorithmic Trading.mp4	12.2 MB
019 Exponential Smoothing Section Summary.en.srt	5.7 KB
019 Exponential Smoothing Section Summary.mp4	20.0 MB
/04 ARIMA/
001 ARIMA Section Introduction.en.srt	7.6 KB
001 ARIMA Section Introduction.mp4	24.1 MB
002 Autoregressive Models - AR(p).en.srt	17.7 KB
002 Autoregressive Models - AR(p).mp4	55.1 MB
003 Moving Average Models - MA(q).en.srt	4.4 KB
003 Moving Average Models - MA(q).mp4	10.6 MB
004 ARIMA.en.srt	14.7 KB
004 ARIMA.mp4	43.4 MB
005 ARIMA in Code.en.srt	24.3 KB
005 ARIMA in Code.mp4	127.5 MB
006 Stationarity.en.srt	18.6 KB
006 Stationarity.mp4	57.8 MB
007 Stationarity in Code.en.srt	11.4 KB
007 Stationarity in Code.mp4	64.5 MB
008 ACF (Autocorrelation Function).en.srt	13.8 KB
008 ACF (Autocorrelation Function).mp4	38.8 MB
009 PACF (Partial Autocorrelation Funtion).en.srt	8.5 KB
009 PACF (Partial Autocorrelation Funtion).mp4	26.3 MB
010 ACF and PACF in Code (pt 1).en.srt	9.9 KB
010 ACF and PACF in Code (pt 1).mp4	43.3 MB
011 ACF and PACF in Code (pt 2).en.srt	8.5 KB
011 ACF and PACF in Code (pt 2).mp4	35.5 MB
012 Auto ARIMA and SARIMAX.en.srt	13.0 KB
012 Auto ARIMA and SARIMAX.mp4	41.4 MB
013 Model Selection, AIC and BIC.en.srt	14.3 KB
013 Model Selection, AIC and BIC.mp4	48.1 MB
014 Auto ARIMA in Code.en.srt	16.7 KB
014 Auto ARIMA in Code.mp4	108.2 MB
015 Auto ARIMA in Code (Stocks).en.srt	18.2 KB
015 Auto ARIMA in Code (Stocks).mp4	110.3 MB
016 ACF and PACF for Stock Returns.en.srt	8.0 KB
016 ACF and PACF for Stock Returns.mp4	45.6 MB
017 Auto ARIMA in Code (Sales Data).en.srt	10.8 KB
017 Auto ARIMA in Code (Sales Data).mp4	68.6 MB
018 How to Forecast with ARIMA.en.srt	12.9 KB
018 How to Forecast with ARIMA.mp4	39.8 MB
019 ARIMA Section Summary.en.srt	4.8 KB
019 ARIMA Section Summary.mp4	13.4 MB
/05 Machine Learning Methods/
001 Machine Learning Section Introduction.en.srt	5.7 KB
001 Machine Learning Section Introduction.mp4	18.4 MB
002 Supervised Machine Learning_ Classification and Regression.en.srt	20.1 KB
002 Supervised Machine Learning_ Classification and Regression.mp4	72.3 MB
003 Autoregressive Machine Learning Models.en.srt	10.8 KB
003 Autoregressive Machine Learning Models.mp4	34.0 MB
004 Machine Learning Algorithms_ Linear Regression.en.srt	6.8 KB
004 Machine Learning Algorithms_ Linear Regression.mp4	22.9 MB
005 Machine Learning Algorithms_ Logistic Regression.en.srt	9.6 KB
005 Machine Learning Algorithms_ Logistic Regression.mp4	33.3 MB
006 Machine Learning Algorithms_ Support Vector Machines.en.srt	14.0 KB
006 Machine Learning Algorithms_ Support Vector Machines.mp4	45.6 MB
007 Machine Learning Algorithms_ Random Forest.en.srt	9.6 KB
007 Machine Learning Algorithms_ Random Forest.mp4	33.6 MB
008 Extrapolation and Stock Prices.en.srt	10.4 KB
008 Extrapolation and Stock Prices.mp4	67.9 MB
009 Machine Learning for Time Series Forecasting in Code (pt 1).en.srt	15.9 KB
009 Machine Learning for Time Series Forecasting in Code (pt 1).mp4	90.4 MB
010 Forecasting with Differencing.en.srt	5.6 KB
010 Forecasting with Differencing.mp4	19.9 MB
011 Machine Learning for Time Series Forecasting in Code (pt 2).en.srt	7.1 KB
011 Machine Learning for Time Series Forecasting in Code (pt 2).mp4	51.8 MB
012 Application_ Sales Data.en.srt	5.7 KB
012 Application_ Sales Data.mp4	44.2 MB
013 Application_ Predicting Stock Prices and Returns.en.srt	5.1 KB
013 Application_ Predicting Stock Prices and Returns.mp4	39.2 MB
014 Application_ Predicting Stock Movements.en.srt	4.8 KB
014 Application_ Predicting Stock Movements.mp4	27.6 MB
015 Machine Learning Section Summary.en.srt	3.2 KB
015 Machine Learning Section Summary.mp4	10.9 MB
/06 Deep Learning_ Artificial Neural Networks (ANN)/
001 Artificial Neural Networks_ Section Introduction.en.srt	4.6 KB
001 Artificial Neural Networks_ Section Introduction.mp4	20.4 MB
002 The Neuron.en.srt	13.4 KB
002 The Neuron.mp4	46.0 MB
003 Forward Propagation.en.srt	13.2 KB
003 Forward Propagation.mp4	47.0 MB
004 The Geometrical Picture.en.srt	12.5 KB
004 The Geometrical Picture.mp4	56.6 MB
005 Activation Functions.en.srt	24.3 KB
005 Activation Functions.mp4	90.7 MB
006 Multiclass Classification.en.srt	11.8 KB
006 Multiclass Classification.mp4	45.7 MB
007 ANN Code Preparation.en.srt	17.3 KB
007 ANN Code Preparation.mp4	60.3 MB
008 Feedforward ANN for Time Series Forecasting Code.en.srt	11.4 KB
008 Feedforward ANN for Time Series Forecasting Code.mp4	74.4 MB
009 Feedforward ANN for Stock Return and Price Predictions Code.en.srt	9.6 KB
009 Feedforward ANN for Stock Return and Price Predictions Code.mp4	71.0 MB
010 Human Activity Recognition Dataset.en.srt	7.7 KB
010 Human Activity Recognition Dataset.mp4	32.2 MB
011 Human Activity Recognition_ Code Preparation.en.srt	8.4 KB
011 Human Activity Recognition_ Code Preparation.mp4	32.8 MB
012 Human Activity Recognition_ Data Exploration.en.srt	9.1 KB
012 Human Activity Recognition_ Data Exploration.mp4	52.4 MB
013 Human Activity Recognition_ Multi-Input ANN.en.srt	14.3 KB
013 Human Activity Recognition_ Multi-Input ANN.mp4	70.8 MB
014 Human Activity Recognition_ Feature-Based Model.en.srt	5.9 KB
014 Human Activity Recognition_ Feature-Based Model.mp4	37.8 MB
015 Human Activity Recognition_ Combined Model.en.srt	3.2 KB
015 Human Activity Recognition_ Combined Model.mp4	21.9 MB
016 How Does a Neural Network _Learn__.en.srt	15.1 KB
016 How Does a Neural Network _Learn__.mp4	52.5 MB
017 Artificial Neural Networks_ Section Summary.en.srt	3.0 KB
017 Artificial Neural Networks_ Section Summary.mp4	11.5 MB
/07 Deep Learning_ Convolutional Neural Networks (CNN)/
001 CNN Section Introduction.en.srt	4.3 KB
001 CNN Section Introduction.mp4	15.0 MB
002 What is Convolution_.en.srt	22.0 KB
002 What is Convolution_.mp4	82.1 MB
003 What is Convolution_ (Pattern-Matching).en.srt	7.3 KB
003 What is Convolution_ (Pattern-Matching).mp4	24.8 MB
004 What is Convolution_ (Weight Sharing).en.srt	9.1 KB
004 What is Convolution_ (Weight Sharing).mp4	31.9 MB
005 Convolution on Color Images.en.srt	22.1 KB
005 Convolution on Color Images.mp4	77.6 MB
006 Convolution for Time Series and ARIMA.en.srt	6.8 KB
006 Convolution for Time Series and ARIMA.mp4	24.8 MB
007 CNN Architecture.en.srt	34.0 KB
007 CNN Architecture.mp4	101.5 MB
008 CNN Code Preparation.en.srt	8.4 KB
008 CNN Code Preparation.mp4	28.8 MB
009 CNN for Time Series Forecasting in Code.en.srt	7.2 KB
009 CNN for Time Series Forecasting in Code.mp4	51.1 MB
010 CNN for Human Activity Recognition.en.srt	6.8 KB
010 CNN for Human Activity Recognition.mp4	48.6 MB
011 CNN Section Summary.en.srt	4.4 KB
011 CNN Section Summary.mp4	16.2 MB
/08 VIP_ AWS Forecast/
001 AWS Forecast Section Introduction.en.srt	11.3 KB
001 AWS Forecast Section Introduction.mp4	45.7 MB
002 Data Model.en.srt	13.0 KB
002 Data Model.mp4	51.3 MB
003 Creating an IAM Role.en.srt	5.1 KB
003 Creating an IAM Role.mp4	25.0 MB
004 Code pt 1 (Getting and Transforming the Data).en.srt	13.7 KB
004 Code pt 1 (Getting and Transforming the Data).mp4	66.4 MB
005 Code pt 2 (Uploading the data to S3).en.srt	17.5 KB
005 Code pt 2 (Uploading the data to S3).mp4	95.5 MB
006 Code pt 3 (Building your Model).en.srt	9.8 KB
006 Code pt 3 (Building your Model).mp4	57.1 MB
007 Code pt 4 (Generating and Evaluating the Forecast).en.srt	9.2 KB
007 Code pt 4 (Generating and Evaluating the Forecast).mp4	52.3 MB
008 AWS Forecast Exercise.en.srt	3.9 KB
008 AWS Forecast Exercise.mp4	14.4 MB
009 AWS Forecast Section Summary.en.srt	7.2 KB
009 AWS Forecast Section Summary.mp4	26.7 MB
/09 Extras/
001 Colab Notebooks.html	1.0 KB
/10 Setting Up Your Environment FAQ/
001 Anaconda Environment Setup.en.srt	21.6 KB
001 Anaconda Environment Setup.mp4	29.2 MB
002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.en.srt	15.2 KB
002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	45.7 MB
/11 Extra Help With Python Coding for Beginners FAQ/
001 How to Code by Yourself (part 1).en.srt	24.0 KB
001 How to Code by Yourself (part 1).mp4	25.8 MB
002 How to Code by Yourself (part 2).en.srt	14.0 KB
002 How to Code by Yourself (part 2).mp4	51.6 MB
003 Proof that using Jupyter Notebook is the same as not using it.en.srt	14.9 KB
003 Proof that using Jupyter Notebook is the same as not using it.mp4	72.9 MB
/12 Effective Learning Strategies for Machine Learning FAQ/
001 How to Succeed in this Course (Long Version).en.srt	15.5 KB
001 How to Succeed in this Course (Long Version).mp4	13.2 MB
002 Is this for Beginners or Experts_ Academic or Practical_ Fast or slow-paced_.en.srt	33.8 KB
002 Is this for Beginners or Experts_ Academic or Practical_ Fast or slow-paced_.mp4	40.8 MB
003 Machine Learning and AI Prerequisite Roadmap (pt 1).en.srt	17.8 KB
003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4	83.5 MB
004 Machine Learning and AI Prerequisite Roadmap (pt 2).en.srt	25.0 KB
004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4	113.4 MB
/13 Appendix _ FAQ Finale/
001 What is the Appendix_.en.srt	4.0 KB
001 What is the Appendix_.mp4	17.2 MB
002 BONUS_ Where to get discount coupons and FREE deep learning material.en.srt	8.3 KB
002 BONUS_ Where to get discount coupons and FREE deep learning material.mp4	39.6 MB
Total files 244