Anomaly Detection with Isolation Forest and Kernel Density Estimation

Tweet Tweet Share Share Anomaly detection is to find data points that deviate from the norm. In other words, those are the points that do not follow expected patterns. Outliers and exceptions are terms used to describe unusual data. Anomaly detection is important in a variety of fields because...

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Python debugging tools

Tweet Tweet Share Share In all programming exercises, it is difficult to go far and deep without a handy debugger. The built-in debugger, pdb, in Python is a mature and capable one that can help us a lot if you know how to use it. In this tutorial we are going see what the pdb can do for you...

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Understanding Traceback in Python

Tweet Tweet Share Share Last Updated on December 24, 2021 When an exception occurs in a Python program, often a traceback will be printed. Knowing how to read the traceback can help you easily identify the error and make a fix. In this tutorial we are going see what the traceback can tell you....

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Functional Programming In Python

Tweet Tweet Share Share Last Updated on December 19, 2021 Python is a fantastic programming language. It is likely to be your first choice for developing a machine learning or data science application. Python is interesting because it is a multi-paradigm programming language that can be used...

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Python Classes and Their Use in Keras

Tweet Tweet Share Share Last Updated on December 24, 2021 Classes are one of the fundamental building blocks of the Python language, which may be applied in the development of machine learning applications. As we shall be seeing, the Python syntax for developing classes is simple, and can be...

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One-Dimensional Tensors in Pytorch

Tweet Tweet Share Share PyTorch is an open-source deep learning framework based on Python language. It allows you to build, train, and deploy deep learning models, offering a lot of versatility and efficiency. PyTorch is primarily focused on tensor operations while a tensor can be a number,...

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Running and Passing Information to a Python Script

Tweet Tweet Share Share Last Updated on December 29, 2021 Running your Python scripts is an important step in the development process, because it is in this manner that you’ll get to find out if your code works as you intended it to. It is, also, often the case that we would need to pass information...

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Method of Lagrange Multipliers: The Theory Behind Support Vector Machines (Part 3: Implementing An SVM From Scratch In Python)

Tweet Share Share The mathematics that powers a support vector machine (SVM) classifier is beautiful. It is important to not only learn the basic model of an SVM but also know how you can implement the entire model from scratch. This is a continuation of our series of tutorials on SVMs. In part1 and...

Dec 2021

Method of Lagrange Multipliers: The Theory Behind Support Vector Machines (Part 2: The Non-Separable Case)

Tweet Share Share Last Updated on December 3, 2021 This tutorial is an extension of Method Of Lagrange Multipliers: The Theory Behind Support Vector Machines (Part 1: The Separable Case)) and explains the non-separable case. In real life problems positive and negative training examples may not be completely...

Dec 2021

More special features in Python

Tweet Share Share Python is an awesome programming language! It is one of the most popular languages for developing AI and machine learning applications. With a very easy to learn syntax, Python has some special features that distinguish it from other languages. In this tutorial, we’ll talk about some...

Dec 2021