PinnedAdithya Prasad Pandelu100 Days of ML: Join the Learning Marathon with Me!I’ve always wanted to tackle something ambitious, and I’ve finally figured out a way to dive in headfirst. For the next 100 days, I’m…Oct 27Oct 27
Adithya Prasad PandeluDay 15: Decision Trees — Theory and Working of Decision TreesWelcome to Week 3! Today, we’re diving into Decision Trees — an algorithm that’s simple yet powerful, capable of handling both…8h ago8h ago
Adithya Prasad PandeluDay 14: Evaluation Metrics for Classification — Precision, Recall, F1-Score, ROC-AUCWelcome to Day 14! Today, we’ll cover evaluation metrics for classification models, including Precision, Recall, F1-Score, and ROC-AUC…1d ago1d ago
Adithya Prasad PandeluDay 13: Logistic Regression in Practice — Implementing Logistic Regression from ScratchWelcome to Day 13! Today, we’re taking a deep dive into implementing logistic regression from scratch. In our last session, we explored…2d ago2d ago
Adithya Prasad PandeluDay 12: Logistic Regression Theory — Binary Classification, Sigmoid FunctionToday, we’re diving into Logistic Regression, a foundational algorithm for classification tasks. While regression might make you think…3d ago3d ago
Adithya Prasad PandeluDay 11: Gradient Descent — Understanding the Gradient Descent AlgorithmIf we think about the journey of a machine learning model, it’s all about finding the best solution — a set of parameters that minimizes…4d ago4d ago
Adithya Prasad PandeluDay 10: Evaluation Metrics for Regression — MSE, MAE, RMSE, R² ScoreIn our journey through Machine Learning, we’ve learned how to create models that predict continuous values, like sales predictions and…5d ago5d ago
Adithya Prasad PandeluDay 9: Linear Regression in Practice — Implementing Simple and Multiple Linear RegressionIn this article, we’ll explore two types of regression models using real-world datasets:6d ago6d ago
Adithya Prasad PandeluDay 8: Linear Regression Theory — An Introduction to Regression and Linear RegressionWelcome to the fundamentals of Linear Regression — a cornerstone technique in the world of predictive modeling. It’s the most…Nov 4Nov 4
Adithya Prasad PandeluDay 7: Feature Engineering Basics — Feature Selection and ExtractionWelcome to the world of Feature Engineering! In machine learning, features (the columns or attributes in your dataset) represent the raw…Nov 3Nov 3
