--- title: "#logistic-regression articles | Hashnode" description: "Explore 122 articles tagged #logistic-regression on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/logistic-regression" --- Tag # #logistic-regression 122 posts · 8 followers [Siddhesh Sawant](https://hashnode.com/@siddheshsawant) · [17h ago](https://hashnode.com/posts/logistic-regression-from-first-principles/6af340fb4f49d259cfecfa43) ### [Logistic Regression from First Principles: Log-Odds, Likelihood and the Decision Threshold](https://siddheshsawant.hashnode.dev/logistic-regression-from-first-principles?utm_source=hashnode&utm_medium=feed) Logistic regression derived step by step: sigmoid and log-odds, log loss and its gradient, gradient descent and Newton's method, and the decision threshold. 53 min read · [siddheshsawant.hashnode.dev](https://siddheshsawant.hashnode.dev/logistic-regression-from-first-principles?utm_source=hashnode&utm_medium=feed) [Kehinde Onasanya](https://hashnode.com/@kehindeonasanya) · [Nov 1](https://hashnode.com/posts/logistic-regression-in-python-math-to-implementation/6ae7bb443ee4ce4cb0e22a9d) ### [Logistic Regression in Python: Math to Implementation](https://kehindeonasanya.hashnode.dev/logistic-regression-in-python-math-to-implementation?utm_source=hashnode&utm_medium=feed) Learn logistic regression from the ground up, exploring its mathematical foundations, sigmoid function, cost function, gradient descent, and Python implementation. 10 min read · [kehindeonasanya.hashnode.dev](https://kehindeonasanya.hashnode.dev/logistic-regression-in-python-math-to-implementation?utm_source=hashnode&utm_medium=feed) [Tharun](https://hashnode.com/@tharun-pandya) · [Sep 25](https://hashnode.com/posts/logistic-regression-workhorse-yes-no-prediction/6ab6f25705f5ca4340e0286a) ### [Logistic Regression: The Workhorse of Yes or No Problems](https://tharunpandya.hashnode.dev/logistic-regression-workhorse-yes-no-prediction?utm_source=hashnode&utm_medium=feed) Understand logistic regression from scratch as a weighted sum passes through the sigmoid function to produce probabilities for yes-or-no predictions. 6 min read · [tharunpandya.hashnode.dev](https://tharunpandya.hashnode.dev/logistic-regression-workhorse-yes-no-prediction?utm_source=hashnode&utm_medium=feed) [Tharun](https://hashnode.com/@tharun-pandya) · [Sep 19](https://hashnode.com/posts/the-sigmoid-function-squashing-the-world-into-0-and-1/6aae155283a9110a1161ce6d) ### [The Sigmoid Function: Squashing the World Into 0 and 1](https://tharunpandya.hashnode.dev/the-sigmoid-function-squashing-the-world-into-0-and-1?utm_source=hashnode&utm_medium=feed) Learn how the sigmoid function turns raw model scores into values between 0 and 1, with intuition, math, probability, and Python examples. 7 min read · [tharunpandya.hashnode.dev](https://tharunpandya.hashnode.dev/the-sigmoid-function-squashing-the-world-into-0-and-1?utm_source=hashnode&utm_medium=feed) [Yash Mangukiya](https://hashnode.com/@yashmangukiyacreditrisk) · [Sep 13](https://hashnode.com/posts/credit-risk-scorecard-logistic-regression-vs-ml/6aa6758d848f1201e1a1893c) ### [Demystifying Risk Scorecard Models: From Logistic Regression to Machine Learning](https://credit-risk-analytics.hashnode.dev/credit-risk-scorecard-logistic-regression-vs-ml?utm_source=hashnode&utm_medium=feed) Explore how machine learning and WOE-based logistic regression balance explainability, regulatory compliance, and predictive power in credit risk. 2 min read · [credit-risk-analytics.hashnode.dev](https://credit-risk-analytics.hashnode.dev/credit-risk-scorecard-logistic-regression-vs-ml?utm_source=hashnode&utm_medium=feed) [DataModelLab](https://hashnode.com/@datamodellab) · [Aug 23](https://hashnode.com/posts/logistic-regression-assumptions-explained-why-they-matter-and-what-to-do-when-they-fail/6a8afb77b13360604f46e2d5) ### [Logistic Regression Assumptions Explained: Why They Matter and What to Do When They Fail](https://datascienceclearly.hashnode.dev/logistic-regression-assumptions-explained-why-they-matter-and-what-to-do-when-they-fail?utm_source=hashnode&utm_medium=feed) A practical guide to the key assumptions of logistic regression, how violations affect the model, and the techniques used to address them. 8 min read · [datascienceclearly.hashnode.dev](https://datascienceclearly.hashnode.dev/logistic-regression-assumptions-explained-why-they-matter-and-what-to-do-when-they-fail?utm_source=hashnode&utm_medium=feed) [Prasanth Madhurapantula](https://hashnode.com/@catalysed) · [Jul 1](https://hashnode.com/posts/expected-goals-xg-from-scratch-and-why-the-scoreboard-lies/6a451d655d011e9583bc9987) ### [Expected goals (xG) from scratch, and why the scoreboard lies](https://iwtlp.hashnode.dev/expected-goals-xg-from-scratch-and-why-the-scoreboard-lies?utm_source=hashnode&utm_medium=feed) On 22 November 2022, Argentina, one of the favourites to win the whole World Cup, lost their opening game to Saudi Arabia, a team almost nobody gave a chance. One to two. It went down as one of the bi 6 min read · [iwtlp.hashnode.dev](https://iwtlp.hashnode.dev/expected-goals-xg-from-scratch-and-why-the-scoreboard-lies?utm_source=hashnode&utm_medium=feed) [Divyajot Kaur](https://hashnode.com/@djk2004) · [Jun 26](https://hashnode.com/posts/understanding-logistic-regression/6a3e50d70f5d5d9fb19ca565) ### [Part 12: Logistic Regression: How Machines Learn to Make Yes-or-No Decisions](https://ai-beginners-journey.hashnode.dev/understanding-logistic-regression?utm_source=hashnode&utm_medium=feed) A simple, step-by-step guide to understanding how Logistic Regression makes accurate classification decisions. 6 min read · [ai-beginners-journey.hashnode.dev](https://ai-beginners-journey.hashnode.dev/understanding-logistic-regression?utm_source=hashnode&utm_medium=feed) [danieljasme](https://hashnode.com/@danieljasme) · [May 27](https://hashnode.com/posts/from-hypothesis-testing-to-logistic-regression-tiktok-claims-project-google-advanced-da-courses-3-4/6a1728debadcd8afcb112e49) ### [From Hypothesis Testing to Logistic Regression: TikTok Claims Project (Google Advanced DA — Courses 3 & 4)](https://danieljasme.hashnode.dev/from-hypothesis-testing-to-logistic-regression-tiktok-claims-project-google-advanced-da-courses-3-4?utm_source=hashnode&utm_medium=feed) How I used Welch's t-test and logistic regression on TikTok's claims dataset. Hypothesis testing, class imbalance, and model evaluation. 7 min read · [danieljasme.hashnode.dev](https://danieljasme.hashnode.dev/from-hypothesis-testing-to-logistic-regression-tiktok-claims-project-google-advanced-da-courses-3-4?utm_source=hashnode&utm_medium=feed) [wajahat taj](https://hashnode.com/@Wajahattaj) · [May 19](https://hashnode.com/posts/building-civicai-part-2-training-the-ml-pipeline-that-powers-it-all/6a0caaa3883727741181f13d) ### [Building CivicAI : Part 2: Training the ML Pipeline That Powers It All](https://ai-ml-datascience-from-scratch.hashnode.dev/building-civicai-part-2-training-the-ml-pipeline-that-powers-it-all?utm_source=hashnode&utm_medium=feed) How I built two ML models from scratch, a TF-IDF text classifier and Random Forest priority scorer and serialized them for production. 11 min read · [ai-ml-datascience-from-scratch.hashnode.dev](https://ai-ml-datascience-from-scratch.hashnode.dev/building-civicai-part-2-training-the-ml-pipeline-that-powers-it-all?utm_source=hashnode&utm_medium=feed)