In this video I begin teaching you how to predict the future. This process is called Time Series Forecasting. I’ll specifically take Covid-19 data and use it to predict the number of deaths in the future.
All the Files Used are Here for Free. More videos are coming every day. Continue reading Time Series Forecasting Predict the Future
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 data. Then I show you how to use professional data science software to search organize and plot that data for analysis. Everything is Free also which is great!
All the Files Used are Here for Free Continue reading Covid 19 Data Analysis
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 work with a ton of examples. All the Files are on GitHub Continue reading Time Series Analysis Holt Winters
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, built-in datasets, creating and indexing datetimes and much more. All the files are on GitHub. Continue reading Time Series Analysis StatsModels
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, Scikit-learn, TensorFlow, PyTorch, Keras, Scrapy, Linear Algebra, Calculus and more. Continue reading Time Series Analysis Visualizations
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, PyTorch, Keras, Scrapy, Linear Algebra, Calculus and more. Files on GitHub Continue reading Time Series Analysis
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 professors rating has anything to do with how attractive they are. Also we’ll explore how to get bigger tips. Continue reading Linear Regressions with StatsModels