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Orange: The Programming Software for Machine Learning and Data Science

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The demand for machine learning engineers and data scientists has increased exponentially over the years. This is justified because machine learning is being applied...

Python Libraries for Data Science Simplified

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The typical life cycle of a data science project involves jumping back and forth among various interdependent data science tasks using a range of...

Deploying a Flask App on Heroku

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Heroku is one of the most popular PaaS platforms in the market, specifically targeted towards developers who are about to start their journey in...

Creating a Very Basic Chatbot in Python on Telegram Messenger

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The Internet is full of articles about building chatbots on platforms like Telegram. However, in this article, readers get some insights on how to...

Using Python DataFrames for Advanced Database Applications

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A DataFrame is a two-dimensional structure in which data is arrayed in labelled rows and columns. Pandas is a specialised Python library used effectively...

Data Visualisation: Using Python for Machine Learning and Data Science

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Data visualisation techniques have a significant role in the representation of data in a pictorial or graphical format. This article takes a quick look...

Why Python is Popular for Machine Learning Implementations

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This article covers the various machine learning (ML) implementation tools, the importance of Python for ML, and its characteristics. It also highlights the various...

Python Libraries that Developers Should be Familiar With

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This article is aimed at newbie developers who want to master the Python programming language. It is not a complete reference work on Python...

The Python Libraries that are Made for Machine Learning

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This article is a guide on Python libraries for machine learning. Various libraries as well as their features are described to help readers understand...

Leveraging Python Generators for Developing Elegant Code

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Iterators in Python lead to a lot of overhead. Python generators are a simple way of creating iterators in which all overheads are automatically...