Programming

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Introduction

Do you know Python has a built-in module called secrets that can be used to generate cryptographically strong passwords, tokens, and other related secrets? The secrets module was first introduced in Python 3.6 (PEP 506).

Before the introduction of the secrets module into Python, the random module was used by…

Programming

Image by the author (created from Canva)

Introduction

When writing a program, we often want to create a copy of an object (int, float, list, tuple, dictionary, etc.). Because we want to use the copy (new) object without changing the content of the original.

There are a number of ways you can create a copy of the object…

Data Science, Machine Learning

Image by the author (taken from Shapash web app)

Shapash lets you create a beautiful web app for interpreting your machine learning models in seconds as soon as you have the model ready. You don’t have to spend time creating web applications of your own. This saves a lot of time for you and your team. Isn’t this exciting…

Machine Learning, Data Science

Source: mongoDB.com

If you are looking for a database for storing your machine learning models then this article is for you. You can use MongoDB to store and retrieve your machine learning models. Without further adieu let’s jump to the main topic.

MongoDB

MongoDB is a very popular NoSQL database. In MongoDB, the…

Data Science, Machine Learning

Source: ONNX

The chances are high that you might have heard about ONNX but not sure what it does and how to use it. Don’t worry, you are in right place. In this beginner-friendly article, you will understand about ONNX. Let’s dive-in.

Assume that you built a deep learning model using the…

Chetan Ambi

Data Science | Machine Learning | Python. Visit https://pythonsimplified.com/ for interesting articles on Python and Machine Learning .

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