Premiere Pro 2020 for Beginners

Welcome to my Adobe Premiere Pro CC 2020 Tutorial series for beginners. In this multipart series I show you how to do just about anything with Premiere Pro. I cover a TON in these videos! I cover tons of Tricks, Quick Edits, Key Framing, Color Correction, Editing Audio, Syncing Audio, Background Free Music,...

Homemade Falafel Recipe

I’m making an Adobe Premiere Pro CC Tutorial, so my wife and I decided to make a recipe video to show off what Premiere Pro can do. Our family loves Falafels so I decided to show how I make Homemade Falafels, Pita Bread, Sun-dried Tomato Hummus and a super tasty Yogurt Sauce. Here is my Food Processor...

Time Series Forecasting 8 : Vector Autoregression

In this video I cover Vector Autoregressions. Vector autoregressive models are used when you want to predict multiple time series using one model. With them we have to check for stationarity. Convert the data to a stationary form. Then I’ll show you how to invert stationarity back to the original...

Time Series Forecasting 7 : SARIMAX

In this video I cover SARIMAX. SARIMAX supports exogenous regressor variables. Exogenous variables are not effected by outside influences. In this video we will analyze whether high traffic holidays effect the global price of oil. All the Files Used are Here for Free :...

Time Series Forecasting 6 : SARIMA

In this video I cover Seasonal Autoregressive Integrated Moving Averages. We analyze whether CO2 levels are going down, make predictions about the future and more. All the Files Used are Here for Free :...

Time Series Forecasting 5 : ARIMA Prediction

In this video I show how to make predictions with your ARIMA model. I also show how to make your data sets stationary and exactly how auto ARIMA finds the best parameters for ARIMA. All the Files Used are Here for Free :...

Time Series Forecasting 4 : Grid Search

In this video I cover numerous topics. I talk more about the ARIMA Model Parameters, Resampling, Auto Correlation Function, Partial Auto Correlation Function, Grid Search, Pyramid ARIMA, Akaike Information Criterion, Bayesian Information Criterion and a lot more. All the Files Used are Here for Free :...

Time Series Forecasting 3 : Causation & Seasonality

In this video I continue teaching you how to predict the future! This time I’ll cover the Granger Causality Test which will for example show you that when one stock goes up in price whether it causes others to go up. That could helpful at making money! I’ll also show you how to concat data, check...

Time Series Forecasting 2 : ARIMA

In this video I continue teaching you how to predict the future! This time I’m talking about AutoRegressive Integrated Moving Average (ARIMA). ARIMA is the basis for many other models. It focuses on examining differences between values to forecast future values. I’ll start by making sure you...

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