# jyotipmahes/ML-Interview-Prep

> A Jupyter notebook collection with from-scratch implementations of core ML interview algorithms, including linear/logistic regression, K-Means, KNN, MLP, LayerNorm, self-attention, LoRA, and BPE, with math formulations and tests.

- Magnitude: 5.2 out of 10 — Early signal
- Stars: 224 total · +20 stars measured 2026-11-01, 13:47–16:32 UTC, ≈ 37 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: Jupyter Notebook · Created: 2026-10-31 · Last push: 2026-10-31
- GitHub: https://github.com/jyotipmahes/ML-Interview-Prep · Page: https://gitnova.dev/en/r/jyotipmahes/ML-Interview-Prep

## Useful for

- Practice implementing ML algorithms from scratch before an MLE interview
- Review mathematical formulations and interview tips for core ML coding questions
- Verify your implementations against the provided tests in the notebook

## Why it’s here

- Star-counter measurements on 2026-11-01 (UTC), 13:47–16:32: 204 → 224 stars (+20). This is the change over that interval.
- Estimated end-of-day forecast: about +37 stars, using observed gains and the previous day.
- The repository is 1 day old and already has 224 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #159.
- About 31 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 32
- Issues and pull requests: 0
- Watchers: 10
- Average over the last week: 80 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 9

## Stars per day, last 2 days (oldest → newest, today is partial)

2026-10-31 … 2026-11-01: 122, 20

## Spotted in now

- Top new repositories this week: #159

## More in this category

1. **patchy631/ai-engineering-hub** — 7.7 · Breakout · Learning & lists · Jupyter Notebook · +264 stars measured 2026-11-01, 11:01–16:32 UTC, ≈ 436 by evening
   A collection of 90+ tutorial projects on LLMs, RAG and AI agents, ranging from simple OCR apps to production systems with MCP and multi-agent workflows.
   Full card: https://gitnova.dev/en/r/patchy631/ai-engineering-hub.md
2. **bregman-arie/devops-exercises** — 7.2 · Breakout · Learning & lists · Python · +323 stars measured 2026-11-01, 00:02–16:32 UTC, ≈ 481 by evening
   A collection of over 2600 questions and exercises on DevOps, SRE and related topics: Linux, networking, Kubernetes, cloud, CI/CD, databases and more. Intended for interview preparation and knowledge checks.
   Full card: https://gitnova.dev/en/r/bregman-arie/devops-exercises.md
3. **wanghao-SunSky/cs329z-chinese** — 6.4 · Early signal · Learning & lists · HTML · +150 stars measured 2026-11-01, 00:02–16:32 UTC, ≈ 214 by evening
   Chinese study guide for Stanford CS329Z Engineering AI Agents: 19 lessons and 4 hands-on exercises covering LLMs, RAG, tool calling, memory, multi-agent systems, evaluation and safety, with Markdown sources and an offline HTML reader.
   Full card: https://gitnova.dev/en/r/wanghao-SunSky/cs329z-chinese.md
4. **nathanliow/atlas-of-physics** — 5.5 · Early signal · Learning & lists · JavaScript · +82 stars measured 2026-11-01, 00:02–16:32 UTC, ≈ 116 by evening
   An interactive 3D textbook for AP Physics 1 and AP Physics C: each chapter is one motion drawn in 3D like a textbook diagram, with vectors, graphs and click-to-break-down parts.
   Full card: https://gitnova.dev/en/r/nathanliow/atlas-of-physics.md
5. **designfuchen/word-atlas** — 5.3 · Cooling · Learning & lists · TypeScript · +138 stars measured 2026-11-01, 00:02–16:32 UTC, ≈ 196 by evening
   A free, open-source PWA for memorizing 7,298 IELTS words, each with an original illustration, UK/US audio and example sentences, using FSRS spaced repetition with no login. The dataset is CC BY 4.0.
   Full card: https://gitnova.dev/en/r/designfuchen/word-atlas.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-11-01 16:42 UTC, updated every 30 minutes.