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"Designing Data-Intensive Applications" by Martin Kleppmann - A comprehensive summary

Jan 14, 202516 min read

System Design: How to Scale from Zero to a Million Users

Dec 31, 20247 min read

Tariffs, Tech, and Tomorrow: A Candid Chat on Geopolitics and India's Future

India at the Crossroads of Global Power Plays

Apr 5, 20251 min read

Tidy First: A Systematic Approach to Improve Code Readability and Maintainability

Dec 1, 20242 min read

Learn Git and GitHub in 2025: A Practical Tutorial for Beginners

Nov 5, 20248 min read

Artificial Intelligence – Power of making machines intelligent

What is Artificial Intelligence? “Providing intelligence to a machine” is what we call artificial intelligence. This is the most simple, appropriate, and logical one-line definition of Artificial Intelligence (AI). Artificial means a system that has ...

Nov 2, 20248 min read

Tree Data Structure in C: An Overview

This blog post will give you an overview of the tree data structure in C programming language, types of tree data structure, and tree traversal techniques on a tree. Introduction of Tree Data Structure A tree is a hierarchical data structure (top to ...

Sep 14, 20246 min read

Ensemble Method in Machine Learning

Ensemble method is a technique in which we take a group of the #ml models and then we combine the predictions of those models to produce optimal predictive model. Ensemble means a group. Steps: Use the ensemble and make prediction Then calculate a ...

Aug 28, 20241 min read

Cross-validation in Machine Learning

Enhancing model quality with cross-validation in Machine Learning 🤖 Cross-validation is a modelling process where the data is divided into multiple folds (pieces) and then we perform experiments by taking each fold at a time and considering it as a ...

Aug 21, 20241 min read

3 ways to handle missing values in Machine Learning

Steps to handle missing values: Drop the columns that has missing values Here, we drop the columns that have missing values. With this approach, there is a chance that we may lose access to lot of useful information. You should use this approach ...

Aug 14, 20241 min read

Splitting the dataset in Machine Learning

Do you know how to split the #datasets in Machine Learning? 🤔 If you want to become a data scientist 👨‍💻, then you must be good at working with datasets. Being familiar with the dataset is the first step towards building ML models. Before working ...

Aug 8, 20241 min read

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