A career in software engineering/programming can be one of the most rewarding yet strenuous careers currently in the market. The demand for software engineers, programmers and data scientist/data analyzers are only increasing as a lot more tasks are being performed using softwares. …
As a beginner programmer, it is important that you master the fundamentals/basics. One of the basic concepts that is important for you to understand is loops. …
Python programming is often one of the first picks because it is both easy to pick up and has vast capabilities. Python programming language uses a simple object-oriented programming approach and very efficient high-level data structures. Python Programming also uses very simple and concise syntax and dynamic typing. If you…
As the year slowly comes to an end, more and more people are looking to get into programming, especially machine learning. An article written by the world economic forum suggests that by 2025, 97 million new roles may emerge that are more adapted to the new division of labor between…
A guide to building iOS Apps in Python using the Kivy framework.
Ever wanted to build iOS apps without having to learn an entirely new language? Wanted to break into the iOS app market without having to shelve out a $1000 on a MacBook? …
A beginner’s guide to understanding Git and GitHub.
Git is an open-source, version control tool that was created in the year 2005 by developers working on the Linux operating system. Github is a company founded in the year 2008. It is a cloud-based service that allows us to store code…
In yesterday’s article, I discussed the Machine Learning Algorithm called Linear Regression. In that article, I talked about what Linear Regression is, what it is used for, different types of Linear Regression, etc. I will link to the post here:
In today’s article, we will be going over a tutorial…
Linear Regression is one of the easiest and easily one of the most popular Machine learning Algorithms. It is a statistical method(basically makes use of statistics) used for predictive analysis. Linear Regression is used to make predictions for continuous or numeric variables such as age, price of a product, etc…
Classifying data is a common task in machine learning. For instance, let us assume a data point is to belong to one of two classes, and the goal is to determine which class a new data point will belong to. Data points, in SVMs, are viewed as a p-dimensional vector…
Recursions in Python explained
What is recursion? Generally, when we talk about recursion, it means we are calling a function from itself i.e., calling a function within itself.
In Python, the recursion limit is 1000 before the program gives us an error. …
