<?xml version="1.0" encoding="UTF-8"?> <urlset xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.sitemaps.org/schemas/sitemap/0.9 http://www.sitemaps.org/schemas/sitemap/0.9/sitemap.xsd" xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"> <url> <loc>https://nitinnilesh.github.io/featured_media/media_1/</loc> <lastmod>2026-10-08T09:52:53+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/featured_media/media_2/</loc> <lastmod>2026-10-08T09:52:53+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/featured_media/media_3/</loc> <lastmod>2026-10-08T09:52:53+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/featured_media/media_4/</loc> <lastmod>2026-10-08T09:52:53+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/featured_media/media_5/</loc> <lastmod>2026-10-08T09:52:53+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/featured_media/media_6/</loc> <lastmod>2026-10-08T09:52:53+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/featured_media/media_7/</loc> <lastmod>2026-10-08T09:52:53+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/news/announcement_1/</loc> <lastmod>2021-09-27T00:00:00+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/news/announcement_2/</loc> <lastmod>2022-11-01T00:00:00+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/news/announcement_3/</loc> <lastmod>2023-07-08T11:59:00+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/news/announcement_4/</loc> <lastmod>2024-02-20T00:00:00+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/news/announcement_5/</loc> <lastmod>2024-03-07T00:00:00+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/news/announcement_6/</loc> <lastmod>2024-12-14T00:00:00+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/news/announcement_7/</loc> <lastmod>2025-01-27T00:00:00+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/blog/2024/gcn-notebook/</loc> <lastmod>2024-02-08T12:57:00+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/blog/2023/pytorch-unfold-and-fold-a-hidden-gem-for-convolution/</loc> <lastmod>2023-08-30T05:10:27+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/projects/1_project/</loc> <lastmod>2026-10-08T09:52:53+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo-machine-learning/</loc> <lastmod>2026-10-08T09:52:53+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/</loc> </url> <url> <loc>https://nitinnilesh.github.io/news/</loc> </url> <url> <loc>https://nitinnilesh.github.io/projects/</loc> </url> <url> <loc>https://nitinnilesh.github.io/publications/</loc> </url> <url> <loc>https://nitinnilesh.github.io/teaching/</loc> </url> <url> <loc>https://nitinnilesh.github.io/blog/tag/jupyter/</loc> </url> <url> <loc>https://nitinnilesh.github.io/blog/category/spelled-out/</loc> </url> <url> <loc>https://nitinnilesh.github.io/blog/2024/</loc> </url> <url> <loc>https://nitinnilesh.github.io/blog/2023/</loc> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/decision-trees/01-tree-intuition.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/decision-trees/02-entropy-gini.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/decision-trees/03-information-gain.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/decision-trees/04-mixed-splits.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/decision-trees/05-recursion-prediction.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/decision-trees/06-overfitting-pruning.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/decision-trees/07-regression-trees.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/decision-trees/08-evaluation-tuning.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/decision-trees/09-practical-guide.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/decision-trees/10-when-to-use.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/decision-trees/</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/gradient-boosting/01-idea-of-boosting.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/gradient-boosting/02-gradient-boosting-story.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/gradient-boosting/03-why-gradient.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/gradient-boosting/04-classification-story.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/gradient-boosting/04-complete-algorithm.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/gradient-boosting/</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/knn/01-knn-basics.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/knn/02-distance-metrics.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/knn/03-choosing-k.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/knn/04-knn-imputation.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/knn/</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/linear-regression/01-line.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/linear-regression/02-errors-cost.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/linear-regression/03-ols-gradient.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/linear-regression/04-metrics.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/linear-regression/05-multiple.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/linear-regression/06-assumptions.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/linear-regression/</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/linear-regression/session-1/01-line.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/linear-regression/session-1/02-errors-cost.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/linear-regression/session-1/03-ols-gradient.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/linear-regression/session-1/</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/linear-regression/session-2/04-metrics.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/linear-regression/session-2/05-multiple.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/linear-regression/session-2/06-assumptions.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/linear-regression/session-2/</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/logistic-regression/01-classification-setup.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/logistic-regression/02-sigmoid-boundary.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/logistic-regression/03-loss-training.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/logistic-regression/04-interpretation-regularization.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/logistic-regression/05-metrics-imbalance.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/logistic-regression/06-handling-imbalance.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/logistic-regression/</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/ml-interview-preparation/01-role-and-interview-map.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/ml-interview-preparation/02-ml-revision.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/ml-interview-preparation/03-answering-questions.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/ml-interview-preparation/04-ml-system-design.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/ml-interview-preparation/05-linkedin-resume.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/ml-interview-preparation/06-jobs-and-jd.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/ml-interview-preparation/07-outreach.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/ml-interview-preparation/08-mock-interviews.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/ml-interview-preparation/09-coding-preparation.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/ml-interview-preparation/</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/model-evaluation/01-accuracy-trap.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/model-evaluation/02-confusion-matrix.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/model-evaluation/03-precision-recall-f1.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/model-evaluation/04-threshold-roc.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/model-evaluation/05-pr-auc.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/model-evaluation/05-regression-r2.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/model-evaluation/06-demo-guide.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/model-evaluation/</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/naive-bayes/01-bayes-intuition.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/naive-bayes/02-text-naive-bayes.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/naive-bayes/03-smoothing-log-space.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/naive-bayes/04-variants-evaluation.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/naive-bayes/</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/neural-networks/class_1_foundations/01-why-a-network.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/neural-networks/class_1_foundations/02-activations.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/neural-networks/class_1_foundations/03-combining-neurons.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/neural-networks/class_1_foundations/04-forward-pass.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/neural-networks/class_1_foundations/05-loss.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/neural-networks/class_1_foundations/06-backprop-intuition.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/neural-networks/class_1_foundations/07-backprop-math.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/neural-networks/class_1_foundations/08-parameter-updates.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/neural-networks/class_1_foundations/09-complete-algorithm.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/neural-networks/class_1_foundations/</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/pca/01-pca-geometry.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/pca/02-covariance-eigen.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/pca/03-projection-variance.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/pca/04-pca-in-practice.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/pca/</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/polynomial-regression/01-introduction.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/polynomial-regression/02-simulation-generalization.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/polynomial-regression/03-bias-variance.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/polynomial-regression/04-validation-cross-validation.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/polynomial-regression/05-regularization.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/polynomial-regression/</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/random-forests/01-why-ensemble.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/random-forests/02-bootstrap.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/random-forests/03-bagging.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/random-forests/04-feature-randomness.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/random-forests/05-classification.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/random-forests/06-regression.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/random-forests/07-oob.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/random-forests/08-variance.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/random-forests/09-tuning.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/random-forests/10-interpretation.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/random-forests/11-practical-guide.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/random-forests/</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/svm/01-svm-geometry.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/svm/02-margin-and-scratch-svm.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/svm/03-soft-margin.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/svm/04-kernels.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/svm/05-svm-in-practice.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/svm/06-support-vector-regression.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/svm/</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/time-series-forecasting/01-forecasting-contract.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/time-series-forecasting/02-patterns.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/time-series-forecasting/03-baselines.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/time-series-forecasting/04-lags-and-acf.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/time-series-forecasting/05-stationarity.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/time-series-forecasting/06-smoothing.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/time-series-forecasting/06b-smoothing-20-steps.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/time-series-forecasting/06c-arima-pre.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/time-series-forecasting/07-arima.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/time-series-forecasting/07b-sarima-pre.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/time-series-forecasting/08-validation.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/time-series-forecasting/09-ml-workflow.html</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> <url> <loc>https://nitinnilesh.github.io/teaching/logicmojo/time-series-forecasting/</loc> <lastmod>2026-10-08T09:51:22+00:00</lastmod> </url> </urlset>