swarnima khadka

#LSPPDAY6 Solved the Trapping Rain Water problem. Started with the brute-force approach, moved to an O(n) solution, and finally, the two-pointer approach with O(n) time and O(1) space. #60DaysOfLearning2026 #LearningWithLeapfrog @lftechnology

#LSPPDAY5 Today, I solved Largest Rectangle in Histogram on LeetCode! Learned how a monotonic stack can turn a brute force approach into an elegant O(n) solution. #60DaysOfLearning2026 #LearningWithLeapfrog @lftechnology

#LSPPDay4 Today I implemented Min Stack using two approaches: Pair-based approach with with each element (O(n) extra space) Encoded value approach using a mathematical trick (O(1) extra space) Solved the Celebrity Problem #60DaysOfLearning2026 #LearningWithLeapfrog @lftechnology

#LSPPDAY3 Solved Next Greater Element and Previous Smaller Element problems using monotonic stacks. #60DaysOfLearning2026 #LearningWithLeapfrog @lftechnology

#LSPPDAY2 Today I learned Next Greater Element (linear approach), implemented the circular array version on LeetCode, and then solved Next Greater Element III using the next permutation concept. #60DaysOfLearning2026 #LearningWithLeapfrog @lftechnology

#LSPPDAY1 Today I learned how the Stock Spanner problem can be solved. Learned how monotonic stacks can efficiently find the previous greater element and calculate spans. #60DaysOfLearning2026 #LearningWithLeapfrog @lftechnology

I'm publicly commiting to the #60DaysOfLearning2026 challenge and #LearningWithLeapfrog from June! @lftechnology

#LUD30 Today, I learned about R-squared and Adjusted R-squared — key metrics for evaluating regression models. Understood how they measure model fit and why adjusted R² gives a fairer comparison when adding predictors. #LearningUtsav2025 #FestivalOfLearning @learning_utsav

#LUD29 Today, I learned about Gradient Descent for Linear Regression and the importance of feature scaling. Understood how scaling helps the algorithm converge faster and improves optimization efficiency. #LearningUtsav2025 #FestivalOfLearning @learning_utsav

#LUD28 Today I learned about Gradient Descent — the core optimization algorithm behind many machine learning models. Explored how it iteratively minimizes loss by updating parameters in the direction of the steepest descent. #LearningUtsav2025 #FestivalOfLearning @learning_utsav

#LUD27 Today I learned about Logistic Regression, understanding how it models probabilities for classification problems and applies the sigmoid function for decision boundaries. #LearningUtsav2025 #MachineLearning #FestivalOfLearning #DataScience @learning_utsav

#LUD26 Today I learnt about Lasso Regression and Elastic Net, two regularization techniques that enhance model performance and prevent overfitting. #LearningUtsav2025 #MachineLearning #Regression #FestivalOfLearning @learning_utsav

#LUD25 Today I explored regularization techniques in regression ,Ridge, Lasso, and Elastic Net . Also deepened my understanding of least squares geometry, projections, and the normal equation. #LearningUtsav2025 #MachineLearning #Regression #FestivalOfLearning @learning_utsav

#LUD24 Today I learned about Linear Regression and explored Ordinary Least Squares (OLS) for parameter estimation. Practiced implementing OLS in both Simple and Multiple Linear Regression. #LearningUtsav2025 #MachineLearning #Python #FestivalOfLearning @learning_utsav

#LUD23 Today I explored univariate analysis — understanding and visualizing the distribution of a single variable using summary stats and plots. #LearningUtsav2025 #FestivalOfLearning @learning_utsav

#LUD22 Today I implemented Seaborn through the Kaggle course. Practiced creating line charts, bar charts, heatmaps, scatter plots, and distribution plots, and explored how to choose the right plot types and customize styles. #LearningUtsav2025 #FestivalOfLearning @learning_utsav

#LUD21 Today I learned about Seaborn, a high-level API for statistical graphics in Python. Explored how it provides multivariate views of complex datasets, lower-level tools for building figures, and flexible customization. #LearningUtsav2025 #FestivalOfLearning @learning_utsav

#LUD20 Today I learned Matplotlib's Pyplot for data visualization. Explored plotting with keywords & categories, line styling, multiple axes, text & annotations, and using logarithmic scales for advanced plots. #LearningUtsav2025 #FestivalOfLearning @learning_utsav

#LUD19 Today I learned about the Pydantic lib in Python. Explored its foundation, field validation, model behavior, nested models, serialization and how Pydantic integrates with FastAPI for dependency injection. #LearningUtsav2025 #FestivalOfLearning #Pydantic @learning_utsav

#LUD18 Today I practiced Pandas on Kaggle and worked through several exercises to apply what I’ve learned. Focused on reading and writing data, indexing, summarizing, grouping, sorting, and handling missing values. #LearningUtsav2025 #FestivalOFLearning #Pandas @learning_utsav