Foundations of Data Science: Calculus
Calculus is the mathematical study of continuous change. Linear algebra deals with static numbers, and geometry deals with shapes. Calculus allows us to compute rates of change (such as speed […]
The 5 Layers of Agentic AI Architecture: What’s Actually Running Under the Hood
Most people see what Agentic AI does — but very few understand how it is built. Knowing the architecture is what separates professionals who use AI from professionals who design,
The 5 Layers of Agentic AI Architecture: What’s Actually Running Under the Hood Read More »
ChatGPT vs Claude: Comparing AI Assistant tools
If you’re a data science or AI enthusiast and want to learn about AI Assistant tools but don’t know which AI tool to use in which scenario, this is the
The AI Power Players: 8 Companies Shaping the Future
We are going to discuss leading companies that show impressive development in the field of Artificial Intelligence (AI) and advances in models, hardware, and infrastructure. 1. OpenAI OpenAI offers a
The AI Power Players: 8 Companies Shaping the Future Read More »
Exploring AI Agents: Simplified Step-by-Step Learning
In this article, we explore AI Agents using a simplified, step-by-step learning approach. Table of Contents Introduction What are AI Agents? From LLM to AI Agents Core Components of AI
Exploring AI Agents: Simplified Step-by-Step Learning Read More »
AI Agent: Automatic Response to Emails
I have built a fully working AI agent that automatically responds to emails from my Gmail account using OAuth2, implementing GroqCloud and Agno (Phidata). An amazing experience, a beneficial real-world case
Feature Engineering: For Highly Skewed Feature
Introduction In this article, we are covering 3 scenarios of skewed data and implementing feature engineering for them: When data is highly right-skewed When data is highly left-skewed When data
Multi-Class Prediction of Obesity Risk- Kaggle Dataset
Introduction The goal of this competition is to utilize various factors to predict obesity risk in individuals, which is related to cardiovascular disease. On-time prediction using Machine Learning algorithms helps
Multi-Class Prediction of Obesity Risk- Kaggle Dataset Read More »
Bank Customer Churn Prediction in Python: Kaggle Dataset
Customer Churn refers to the loss of existing customers or subscribers who fail to come back for any reason during a designated period. Businesses measure churn rate as the percentage
Bank Customer Churn Prediction in Python: Kaggle Dataset Read More »