## Drawing Simple Geometrical Shapes on Python

Drawing Simple Geometrical Shapes on Python from scratch, have you tried it? Now in this series of tasks, I am going to tackle some of the interesting image processing concepts from scratch using Python and then will compare them with the popular OpenCV framework. Last time I did Convolution operations from Scratch and RGB to […]

## Advent of Code 2022 with Python

Originally published in q-viper.github.io. The advent of Code is a yearly festival for programmers like me where we try to solve different stories to gain stars. I love these challenge because its fun and takes us slowly from beginner level to harder level. I am really weak in competitive programming and DSA stuff but still, […]

## How to do Data Science Project

Data science project can be a challenging but rewarding process. By following the steps we can use in this blog, you can work through the project in an organized and effective way, and ultimately arrive at a solution to your problem. Previously, we wrote blogs on many machine learning algorithms (Classification, Predication) as well as […]

## Mathematics Behind Support Vector Machine

Support Vector Machine is supervised machine learning algorithm. In this blog, we are going to discuss how mathematically support vector machine works. We will also discuss the types of SVM and how to implement it in Python. So, let’s get started. In the past, we have authored blog posts covering a wide range of topics, […]

## Simple Cryptography Algorithms in Python

Cryptography Algorithms in Python is quite easy to code and we will cover only few here. Cryptography Algorithms have been around the world for more than centuries and there are still many inscriptions around various places in the world which we do not understand. Here in this blog, we will cover very basic cryptography algorithms […]

## Naive Bayes From Scratch

Naive Bayes is a machine learning algorithm that is used for classification tasks. It is called "naive" because it makes a simplifying assumption about the data, specifically that the features in the data are independent of one another. Despite this assumption, the algorithm has been shown to be effective in many real-world applications. Previously, we […]

## Finding Remote Jobs but How and Where?

Remote jobs hunting might be troublesome work these days with too many jobs in the market but not finding the right one for your profile is. Here in this blog, I will write about the top places where remote jobs can be found easily. The featured image is taken from FlexJobs.com. This blog has been […]

## Different Method of Model Evaluation(Part2)

Model evaluation is the process of assessing the performance of a machine learning model on a data set. It is an important step in the development of a machine learning model, as it allows us to determine how well the model is able to make accurate predictions on unseen data. Previously, we wrote blogs on […]

## Making Money with Programming

This post has been cross-posted from q-viper.github.io. How much do you know about Making money with programming in this decade? It is getting broader and more expansive. With the availability of a wide range of internet and lots of technology, many people are engaged with technology nowadays and the need to provide good tech has […]

## Different Method of Model Evaluation(Part-1)

Accuracy is a metric that is used to evaluate the performance of a model on a classification task. It is the fraction of correct predictions made by the model on a data set, expressed as a percentage. For example, if a model makes 90 correct predictions out of 100, its accuracy is 90%. Previously, we […]

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