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Zero to Python Hero – Part 5/10: Essential Data Structures in Python: Lists, Tuples, Sets & Dictionaries
The fundamental way of storing, accessing and manipulating of data in python is data structures. Python provides an convenient and adaptable collection of objects to store and data and sort it in different ways, be it a list, a tuple,...
Read MoreTop 5 Skills Every Engineer Should Learn in 2026
The world of engineering is changing faster than ever before. Technologies that were once futuristic like artificial intelligence, machine learning, and cloud computing are now driving industries forward. By 2026, the engineers who thrive won’t just be the one who...
Read MoreZero to Python Hero - Part 4/10 : Control Flow: If, Loops & More (with code examples)
A major element of any programming language is the capability to take decisions and repeat them -this is the so-called control flow. Control flow is a feature available in Python that enables us to have the control of how code...
Read MoreZero to Python Hero - Part 3/10 : Understanding Type Casting, Operators, User Input and String formatting (with Code Examples)
Type Casting & Checking What is Type Casting? Type casting (also called type conversion) is the process of converting a value from one data type to another. It’s like translating between different languages – sometimes you need to convert a number to...
Read MoreDynamic Programming in Reinforcement Learning: Policy and Value Iteration
The core topic of reinforcement learning (RL) Dynamic Programming in RL: Policy and Value Iteration Explained provides fundamental solutions to resolve Markov Decision Processes (MDPs). This piece teaches about Policy Iteration and Value Iteration alongside their mechanisms as well as...
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Top 40 Data Science Interview Questions and Answers
1 – What is F1 score? F1 score is a measure of the accuracy of a model. It is defined as the harmonic mean of precision and recall. F1 score is one of the most popular metrics for assessing how well a machine learning algorithm performs on predicting a target variable. F1 score ranges from…
Read MoreWhat is histogram equalizer? How does it work?
Histogram Equalizer is a computer vision technique that adjusts the luminosity levels of an image to make it more visually appealing. Histogram equalization is a process that lets us take an image and adjust the brightness levels so that each pixel in the image has a similar level of illumination. It does this by mapping…
Read MoreThe Future of AI & How It will Transform the World?
The future of AI technology is bright. It will affect our lives in many ways and it will change the way we live, work and play. The future is here, and it’s called artificial intelligence. Artificial intelligence is not just a passing fad or buzzword. It’s actually a revolutionary technology that will change the way…
Read MoreMachine Learning Interview questions Part -3
1 – Explain the difference between Variance and R squared error? Variance is a statistical measure of the dispersion of a distribution. It is often used in statistics to measure how much variation or “dispersion” there is from the mean. Variance can be calculated as the average squared deviation from the mean, which for a…
Read MoreHow to Convert text into features?
In this chapter, we’re going to cover introductory to advanced feature engineering (text to features) styles. By the end of this chapter, you’ll be comfortable with the following recipes One Hot encoding Count vectorizer N- grams Hash vectorizer Term Frequency- Inverse Document Frequency (TF- IDF) Implementing word embedding Implementing fastText Now that all the text…
Read MoreImage processing using Machine Learning
We begin this chapter by examining a number of of the foremost image process algorithmic rule, then march on to machine learning implementation in image processing. The chapter at a look is as follows: Feature Mapping using the SIFT algorithmic rule Suppose we’ve 2 pictures. One image is of a bench in an exceedingly park.…
Read MoreAdvance image processing using OpenCV
Blending two images Suppose you have two images and you want to blend them so that features of both images are visible. We use image registration techniques to blend one image over the second one and determine whether there are any changes. Let’s look at the code. Let’s look at some of the functions used…
Read MoreImage processing with Scikit-image
Scikit image is a module that is used to do introductory image processing. Before we start let’s look at the description of a module. A module is a collection of a Python lines, classes, or functions. We can save complex and lengthy code inside different lines. To do this, we need to import files and use them…
Read MoreHow to use if else, while and for loops in python?
The if and else clause are used to structure our code with checks for conditions. The if statement is followed by an expression that we use to express a condition, and delimiters the so-called if block. The block is executed if and only if the expression evaluates to True. Example 1: By the way, even…
Read MoreOperations in Python
There are many type of different operations using operators in the language: Identity As we manipulate values (using variable), two values can have the same identity. This can be tested using special built-in function: id(). We use is as the identity comparison operator, and the result here shows that var and the var3 have the…
Read MoreData types in Python
Now let’s discover data types that we can use to manipulate more data and do more things, such as lists, sets, and dictionaries. Lists A list is a sequence of arbitrary objects. You remember we said that strings are a sequence of (text) characters, so some of the things we already seen about strings apply…
Read MorePython Basics
Let’s quickly explore the first tools and basic syntax rules for a beginner to start using Python. But before that, know that when needed, you can find documentation on the Python.org site and many online resources, including sites like StackOverflow. Printing things We use the print() function to print stuff in Python. This is essential…
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