Brad  Hintz

Brad Hintz


The Ultimate Guide to Polynomial Regression in Python

The hello world of machine learning and computational neural networks usually start with a technique called regression that comes in statistics. Whether you are a seasoned developer or even a mathematician, having been reminded of the overall concept of regression before we move on to polynomial regression would be the ideal approach to take.

What is Regression?

We will get ourselves familiar with the concept of regression with a simple example. Let’s say we are looking to buy houses from the same city. Houses of this city are mainly dependent on how many square feet it has. We are concerned with the price and therefore, we need to know whether we are paying the best price for the house we are going to be purchasing. We have the house pricing information with us from one of our friendly realtors. What we are going to do is find a connection between the square feet and the price of the house, so that we can determine whether we are buying the right property. Let’s look at the data.

sqr_feet = [1350, 1472, 1548, 1993, 1998, 2100, 2450]
price = [643000, 679000, 702500, 759000, 760000, 795000, 855000]

Each of the data in these lists, correspond to the same elements at the same index. We can plot these values using Matplotlib to get an idea about how they look like.

import matplotlib.pyplot as plt
axes.scatter(sqr_feet, price, color='r')

This is a scatter plot. However, we can also connect the lines to get a better idea on how the points have been distributed.

plt.plot(sqr_feet, price)


We can see that the price has been increased proportionally with the available floor area of the house. Therefore, we can now come up with an equation to calculate a ballpark value. That way, if we are given a new house and its floor area, we can see whether we are paying a reasonable amount of not. Since this looks like it can be modeled using a straight-line, we can choose an equation after y = mx + c. However, it is not that easy as there are so many straight-lines that can take the shape of this curve. This is where regression comes in.

Regression can be used to statistically determine the gradient and the intercept of the potential straight-line using methods such as the least-squares method that is based on finding the minimum sum of the square residuals. The general idea is that we can use regression to determine the relationship between one dependent and one or more independent variables. In the data science jargon, the dependent variable is also known as y and the independent variables are known as x1, x2, … xi.

Let us use regression and find gradient (m) and intercept © for the above example.

#python #git #github

What is GEEK

Buddha Community

The Ultimate Guide to Polynomial Regression in Python
Ray  Patel

Ray Patel


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


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

Art  Lind

Art Lind


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

Art  Lind

Art Lind


How to Remove all Duplicate Files on your Drive via Python

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.


In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.

Heres a solution

Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.

But How do we do it?

If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?

The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.

There’s a variety of hashing algorithms out there such as

  • md5
  • sha1
  • sha224, sha256, sha384 and sha512

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

Biju Augustian

Biju Augustian


Guide to Python Programming Language

The course will lead you from beginning level to advance in Python Programming Language. You do not need any prior knowledge on Python or any programming language or even programming to join the course and become an expert on the topic.

The course is begin continuously developing by adding lectures regularly.

Please see the Promo and free sample video to get to know more.

Hope you will enjoy it.

Basic knowledge
An Enthusiast Mind
A Computer
Basic Knowledge To Use Computer
Internet Connection
What will you learn
Will Be Expert On Python Programming Language
Build Application On Python Programming Language

#uide to Python #Guide to Python Programming #Guide to Python Programming Language #Python Programming #Python Programming Language