Saachi's Blog

Logistic Regression and Decision Surfaces

Logistic Regression and Decision Surfaces

Feb 3, 20265 min read

Optimization Mechanics — Feature Scaling, Convergence Testing, and Polynomial Mapping

Optimization Mechanics — Feature Scaling, Convergence Testing, and Polynomial Mapping

Jan 21, 20266 min read

Convexity, Logistic Loss, and the Overfitting Battle

Convexity, Logistic Loss, and the Overfitting Battle

Why squared error fails for classification, implementing Binary Cross-Entropy, and fighting high variance with regularization.

May 12, 20266 min read

Upgrading to Multiple Linear Regression

Upgrading to Multiple Linear Regression

Jan 18, 20265 min read

gradient_descent.py

gradient_descent.py

Jan 15, 20265 min read

Cost function in linear regression

Cost function in linear regression

Dissecting the Squared Error Cost Function in Linear Regression

Jan 12, 20264 min read

Supervised v/s Unsupervised

Supervised v/s Unsupervised

Mapping out core machine learning paradigms and mathematical notation before writing code.

Jan 9, 20263 min read

What Actually IS Machine Learning?

What Actually IS Machine Learning?

Goals, Types, and the Lifecycle of a Model.

Jan 5, 20265 min read

Linear Regression

Linear Regression

How machines "learn" by drawing straight lines.

Jan 3, 20265 min read

Scikit-Learn & Linear Regression

Scikit-Learn & Linear Regression

Why you don't need Deep Learning for 90% of your problems.

Dec 31, 20255 min read

Visualizing Data — Matplotlib vs. Seaborn

Visualizing Data — Matplotlib vs. Seaborn

From mathematical waves to statistical heatmaps: A deep dive into Python plotting.

Dec 29, 20259 min read