"Designing Data-Intensive Applications" by Martin Kleppmann - A comprehensive summaryJan 14, 2025·11 min read
Tariffs, Tech, and Tomorrow: A Candid Chat on Geopolitics and India's FutureIndia at the Crossroads of Global Power PlaysApr 5, 2025·1 min read
Tidy First: A Systematic Approach to Improve Code Readability and MaintainabilityDec 1, 2024·2 min read
Artificial Intelligence – Power of making machines intelligentWhat 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, 2024·8 min read
Tree Data Structure in C: An OverviewThis 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, 2024·6 min read
Ensemble Method in Machine LearningEnsemble 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, 2024·1 min read
Cross-validation in Machine LearningEnhancing 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, 2024·1 min read
3 ways to handle missing values in Machine LearningSteps 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, 2024·1 min read
Splitting the dataset in Machine LearningDo 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, 2024·1 min read