Jay Thacker

@Shaurya2k06 @ethmumbai @CodesSound @BitGo @base Congrats guys...🔥✨

Weekend Update: missed an exam, got based 🟦 , won @ethmumbai 🏆 Our team, OmShantyOm, consisting of @CodesSound and I, won the "BEST" hackathon, across two tracks @BitGo and @base , with VCR Protocol. Shoutout judges, mentors and mitra mandal, y'all made ts truly feel unreal.

@PythonPr Option D

Python Question / Quiz; What is the output of the following Python code, and why? Comment your answers below!

Today I learned about Logistic Regression… a probabilistic linear model that predicts probability of a class using a sigmoid (for binary).

Today I learned about Elastic Net Regression… a linear model that combines both L1 + L2 regularization together to get the benefits of both Lasso + Ridge.

Today I learned about Lasso Regression – a Linear Regression model with L1 Regularization that can shrink some coefficients all the way to zero, performing automatic feature selection.

Today I learned about Ridge Regression – an improved Linear Regression that uses L2 regularization to control overfitting and stabilize coefficients.

Today I learned about Linear Regression – a simple baseline model that predicts numeric values using a best-fit line. This will be my foundation before exploring more advanced ML models.