About Derek Banas

Once a day I post a link to an original video & tutorial on communication, web development, dieting, marketing, hypnosis, etc. For Free!

I used to work for Apple and Morgan Stanley. My ultimate goal is to help unemployed people easily add to their skill set so they can get a job for free.

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Here are my most recent posts

Covid 19 Data Analysis

If you want to analyze Covid 19 data on your own from reliable sources using the same software used by professional data scientists you found the right video. This is the most detailed tutorial on how to use web scraping to gather data. I then show how to search for and manipulate CSV files to organize your...

Time Series Analysis Holt Winters

In this video we start learning how to predict the future with the Holts-Winter Method! I work up slowly so you completely understand it. I cover moving averages, weighted moving averages, single exponential smoothing, double exponential smoothing, triple exponential smoothing and how all of the formulas...

Time Series Analysis StatsModels

I cover a great deal about Time Series Analysis with StatsModels in this video and I also answer a bunch of common questions. I focus on Trends, Error Trend Seasonality Decomposition and Exponential Weighted Moving Averages. I also cover pulling data based on date ranges, rolling mean, smoothing results,...

Time Series Analysis Visualizations

In this video I’ll cover Time Series Visualizations available using Matplotlib, Seaborn and Plotly. I’ll cover numerous ways to style charts. The files are available on GitHub. Next I’ll cover Time Series Analysis with StatsModels.¬†Soon I’ll cover more with StatsModels, SciPy,...

Time Series Analysis

In this video I’ll show you the basics of Tim Series Analysis. I’ll cover all the libraries you need, Pandas Datetime Object, Resampling, File I/O, Plotting, Creating Moving Averages, Shifting Time Data and more. Soon I’ll cover more with StatsModels, SciPy, Scikit-learn, TensorFlow,...

Linear Regressions with StatsModels

In this video I’ll show how to create Linear Regressions with StatsModels. We’ll explore the awesome datasets provided by StatsModels. I’ll also be showing how to work through 2 examples using a combination of NumPy, Pandas, Matplotlib, StatsModels and Seaborn. We’ll explore whether a...

Learn Linear Algebra

Linear Algebra is an essential branch of mathematics in the fields of chemistry, computer graphics, physics, economics, statistics, machine learning, engineering, etc. It is used to model many types of natural phenomena, create unbreakable cryptography algorithms, maximize yield in agriculture, make stock...

Learn Plotly in One Video

This video provides complete coverage of Plotly with many real world examples. Plotly allows you to make beautiful static as well as animate charts! If you want a video that condenses the whole Plotly API and all that it can do into 1 video with a ton of examples, then this video is for you. The Jupyter...

Seaborn Tutorial 2020

This video provides complete coverage of Seaborn with many real world examples. Seaborn is a data visualization library built on top of Matplotlib. Seaborn is often used because it makes attractive visualizations and works easily with Pandas and NumPy. While with Matplotlib you often have to write multiple...

Learn Matplotlib in One Video

This video provides the most complete coverage of Matplotlib with many real world examples. Matplotlib provides numerous ways to create wonderful visualizations. It is the most popular plotting library for Python. It works easily with both Numpy and Pandas arrays. Seaborn, which I’ll cover in my next...

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