Ratan Gulati

MERN Developer | Aspiring Software Developer | Building projects & learning in public | #Cloud and #DevOps enthusiast

[Ratan Gulati @ratanstwt]

@insanekrishnaa Interested

[Ratan Gulati @ratanstwt]

@JobFound5 I'm interested

[Ratan Gulati @ratanstwt]

@JobFound5 Interested

[Ratan Gulati @ratanstwt]

@JobFound5 Interested

[Ratan Gulati @ratanstwt]

🚀Day 14 of #MLOps: Logistic Regression!
📦What I explored today:
➡️Logistic Regression – In-depth Math Intuition – sigmoid function, decision boundaries, and log-odds
➡️Explored One-vs-Rest (OVR) strategy for multi-class classification
Will be doing the implementation tomorrow

[Ratan Gulati @ratanstwt]

🚀Day 13 of #MLOps
📦What I explored today:
➡️EDA & Feature Engineering – created meaningful features, encoded variables, transformed skewed data ➡️Feature Selection – reduced noise, focused on the most impactful variable
Will work on logistic regression tomorrow.

[Ratan Gulati @ratanstwt]

🚀 Day 12 of #MLOps: Regularization & Validation
📦 What I explored today:
➡️ Learned the core ideas behind Ridge Regression – penalizing large coefficients to reduce variance
➡️ Explored Lasso & ElasticNet – balancing feature selection and shrinkage in one go
Let's gooo!

[Ratan Gulati @ratanstwt]

🚀 Day 12 of #MLOps: Regularization & Validation
📦 What I explored today:
➡️ Learned the core ideas behind Ridge Regression – penalizing large coefficients to reduce variance
➡️ Explored Lasso & ElasticNet – balancing feature selection and shrinkage in one go
Let's gooo!

[Ratan Gulati @ratanstwt]

🚀 Day 11 of #MLOps: Polynomial Regression
📦 What I explored today:
➡️Understood the intuition behind Polynomial Regression – capturing curves in data
➡️Implemented Polynomial Regression from scratch – built models that bend and adapt
Will start Ridge and Lasso tomorrow.

[Ratan Gulati @ratanstwt]

🚀 Day 11 of #MLOps: Polynomial Regression
📦What I explored today:
➡️Understood the intuition behind Polynomial Regression – capturing curves in data
➡️Implemented Polynomial Regression from scratch – built models that bend and adapt
Will start Ridge and Lasso tomorrow.

[Ratan Gulati @ratanstwt]

🚀 Day 10 of #MLOps: Linear Regression
📦What I explored today:
➡️Revisited Multiple Linear Regression for multi-feature modeling
➡️Learned about Performance Metrics – how to measure predictions
➡️Broke down MSE, MAE, RMSE – when to use what and why

[Ratan Gulati @ratanstwt]

🚀 Day 10 of #MLOps: Linear Regression
📦 What I explored today:
➡️Revisited Multiple Linear Regression for multi-feature modeling
➡️Learned about Performance Metrics – how to measure predictions
➡️Broke down MSE, MAE, RMSE – when to use what and why

[Ratan Gulati @ratanstwt]

🚀 Day 8 of #MLOps: Mathematical intuition behind ML models
📦What I explored today:
➡️Go through the Machine Learning techniques
➡️Explored Instance-based vs. Model-based learning
➡️Visualized equations of lines, 3D planes, and hyperplanes
Will start Linear regression tomorrow

[Ratan Gulati @ratanstwt]

🚀 Day 9 of #MLOps: stepping into Linear Regression
📦What I explored today:
➡️Introduction to Simple Linear Regression
➡️Broke down the Linear Regression Equation – slope, intercept, and line fitting
➡️Studied the Convergence Algorithm
Let's goooo!

[Ratan Gulati @ratanstwt]

🚀 Day 9 of #MLOps: stepping into Linear Regression
📦 What I explored today:
➡️Introduction to Simple Linear Regression
➡️Broke down the Linear Regression Equation – slope, intercept, and line fitting
➡️Studied the Convergence Algorithm
Let's goooo!

[Ratan Gulati @ratanstwt]

🚀 Day 8 of #MLOps: Mathematical intuition behind ML models
📦What I explored today:
➡️Go through the Machine Learning techniques
➡️Explored Instance-based vs. Model-based learning
➡️Visualized equations of lines, 3D planes, and hyperplanes
Will start Linear regression tomorrow

[Ratan Gulati @ratanstwt]

🚀 Day 8 of #MLOps: Mathematical intuition behind ML models
📦 What I explored today:
➡️Go through the Machine Learning techniques
➡️Explored Instance-based vs. Model-based learning
➡️Visualized equations of lines, 3D planes, and hyperplanes
Will start Linear regression tomorrow

[Ratan Gulati @ratanstwt]

🚀 Day 7 of #MLOps
📦 What I explored:
➡️Performed full EDA on the cleaned Google Play Store dataset
➡️Practiced more data cleaning techniques – handling duplicates, fixing typos, and transforming features
➡️Revised previous topics and practiced some Python questions
Let's go!

[Ratan Gulati @ratanstwt]

🚀 Day 7 of #MLOps
📦What I explored:
➡️Performed full EDA on the cleaned Google Play Store dataset
➡️Practiced more data cleaning techniques – handling duplicates, fixing typos, and transforming features
➡️Revised previous topics and practiced some Python questions
Let's go!

[Ratan Gulati @ratanstwt]

🚀 Day 7 of #MLOps
📦What I explored:
➡️Performed full EDA on the cleaned Google Play Store dataset
➡️Practiced more data cleaning techniques – handling duplicates, fixing typos, and transforming features
➡️Revised previous topics and practiced some Python questions
Let's go!