The article above explains how to forecast time-series data for a single step forward. This article shows how to do multi-step forecasting and use more than 1 feature in the model.
The aim of this article is to provide code examples and explain the intuition behind modeling time series data using python and TensorFlow. The article above explains how to forecast time-series data for a single step forward. This article shows how to do multi-step forecasting and use more than 1 feature in the model. The very brief version of this article is that using the past 48 hours of data and forecasting 1 hour into the future (single step) I have achieved a mean absolute error of 0.48 (0.34 median) degrees of Celcius error. Using the past 168 hours of data and forecasting 24 hours ahead, the mean absolute error was 1.69 (1.27 median) degrees of Celcius. The features used were the hourly past data of temperature, the daily and yearly cyclical signals, pressure, and wind speed.
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Today you're going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates. We gonna use Python OS remove( ) method to remove the duplicates on our drive. Well, that's simple you just call remove ( ) with a parameter of the name of the file you wanna remove done.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc.. You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like __init__, __call__, __str__ etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).
The OS module is a python module that provides the interface for interacting with the underlying operating system that Python is running.