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Data & AI with Mukundan | Learn AI by Building

2024-10-01 – 2025-11-18 Podcasts Visit website ↗

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Practical, human-first AI. Each week we build small, useful AI tools and workflows—so you can apply them the same day you listen. Data & AI with Mukundan is where real-world problems meet practical AI. You don’t learn AI by collecting tabs—you learn it by shipping small, useful things. I’m Mukundan, an analytics pro, GPT builder, and lifelong learner. Every week we take one problem and build a solution you can actually use: smarter job-search helpers, portfolio reviewers, AI that speeds up analysis, slide/summary assistants, and more. You’ll hear the decisions behind each build—what to automate, how to evaluate quality, how to keep outputs reliable, and how to make it useful today. We keep the language plain, the examples concrete, and the steps realistic whether you’re hands-on or just AI-curious. Recurring themes: LLM applications, prompt design, evaluation, retrieval patterns, analytics workflows, career use-cases, and product thinking for AI. New episodes weekly. Subscribe for the how-to; stay for the shipped thing. 🔗 Connect with Me: Free Email NewsletterWebsite: Data & AI with MukundanGitHub: https://github.com/mukund14Twitter/X: @sankarmukund475LinkedIn: Mukundan SankarYouTube: Subscribe

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AI/ML 52 LLM 17 Analytics 8 Marketing 6 GitHub 6 RAG 4 Python 4 Data Analytics 3 Data Science 2 SQL 2 NLP 2 Jira 1 TensorFlow 1 DataViz 1 BI 1

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★ Mukundan Sankar 47 Mukund Sankar 4

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9 Hidden Data Visualization Tricks to Transform Your Visuals using Plotly library in Python

2024-12-20 Listen
podcast_episode
Mukundan Sankar
AI/ML BI DataViz Matplotlib Plotly Python

Key Takeaways: 1. Why Plotly is a Game-Changer Unlike Matplotlib or Seaborn, Plotly offers interactive and dynamic visualizations that are perfect for storytelling.Unlock powerful features that go beyond basic bar charts or scatter plots.2. 9 Hidden Plotly Tricks: Custom Pairwise Correlation Matrix: Add annotations and custom color scales for deeper insights.Dynamic Data Highlighting: Like Excel, conditional formatting but on steroids.Density Contours: Visualize class distribution and clustering with ease.Faceted Histograms: Compare subgroups in a single view.Threshold Lines: Emphasize decision boundaries effectively.Custom Annotations: Turn visuals into storytelling tools.3D Scatter Plots: Explore invisible relationships in 3D.Animated Visualizations: Reveal dynamic patterns over time.Interactive Tooltips: Make charts engaging and informative.3. Real-world Applications Business intelligence, scientific research, and education examples.Techniques aren’t just about aesthetics—they’re about actionable insights.4. Bonus Resources Complete code examples are in the links below: Medium Members: https://medium.com/towards-artificial-intelligence/9-hidden-plotly-tricks-every-data-scientist-needs-to-know-eb7f2181df56Non-Medium Members can read for Free here: https://mukundansankar.substack.com/p/9-hidden-plotly-tricks-every-dataDatasets from the UCI Machine Learning Repository for hands-on practice.https://archive.ics.uci.edu/datasetsTwitter: @sankarmukund475