Seasonality Detection with Fast Fourier Transform (FFT) and Python

Forecasting

**Forecasting **is one of the process of predicting the future based on past and present data. Most of the forecasting problem associated with time series data (i.e. what is the sale of product A next month).Some problems can be easier to forecast than others. The predictability of an event or a quantity depends on several factors, some are:

  1. understanding of the factors contribute to the result;data availability;forecasting technique or learning algorithm.

Often, there are many methods in solving forecast accurately, good forecasts capture the genuine patterns and relationships which exist in the historical data, but do not replicate past events that will not occur again.

Seasonality and use cases

In time series data, seasonality refers to the presence of some certain regular intervals, or predictable cyclic variation depending on the specific time frame (i.e. weekly basis, monthly basis). Some examples of seasonality is higher sales during Christmas, higher bookings during holiday period.

#machine-learning #time-series-analysis #fourier-transform #artificial-intelligence #python

What is GEEK

Buddha Community

Seasonality Detection with Fast Fourier Transform (FFT) and Python
Ray  Patel

Ray Patel

1619518440

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Ray  Patel

Ray Patel

1619510796

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Chando Dhar

Chando Dhar

1619799996

Deep Learning Project : Real Time Object Detection in Python & Opencv

Real Time Object Detection in Python And OpenCV

Github Link: https://github.com/Chando0185/Object_Detection

Blog Link: https://knowledgedoctor37.blogspot.com/#

I’m on Instagram as @knowledge_doctor.

Follow Me On Instagram :
https://www.instagram.com/invites/contact/?i=f9n3ongbu8ma&utm_content=jresydt

Like My Facebook Page:

https://www.facebook.com/Knowledge-Doctor-Programming-114082097010409/

#python project #object detection #python opencv #opencv object detection #object detection in python #python opencv for object detection

Seasonality Detection with Fast Fourier Transform (FFT) and Python

Forecasting

**Forecasting **is one of the process of predicting the future based on past and present data. Most of the forecasting problem associated with time series data (i.e. what is the sale of product A next month).Some problems can be easier to forecast than others. The predictability of an event or a quantity depends on several factors, some are:

  1. understanding of the factors contribute to the result;data availability;forecasting technique or learning algorithm.

Often, there are many methods in solving forecast accurately, good forecasts capture the genuine patterns and relationships which exist in the historical data, but do not replicate past events that will not occur again.

Seasonality and use cases

In time series data, seasonality refers to the presence of some certain regular intervals, or predictable cyclic variation depending on the specific time frame (i.e. weekly basis, monthly basis). Some examples of seasonality is higher sales during Christmas, higher bookings during holiday period.

#machine-learning #time-series-analysis #fourier-transform #artificial-intelligence #python

Art  Lind

Art Lind

1602968400

Python Tricks Every Developer Should Know

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

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.

Let’s get started

Swapping value in Python

Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead

>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName 
>>> print(FirstName, LastName)
('Jordan', 'kalebu')

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development