Philippe Heitzmann
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    • A Computer Vision-assisted Approach to Automated Real-Time Road Infrastructure Management
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    • Building StartupLeads.ai: Shipping a Micro-SaaS That Delivers Same-Week Fundraising Leads to Agencies
    • From Problem Discovery to MVP: How I Built BoostMyRank as a Micro-SaaS for Backlinks
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    • 🎉 Easily create your own simple yet highly customizable blog
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  • Computer Vision Projects
    • Credit Card Optical Character Recognition with OpenCV + Tesseract
    • Neural Style Transfer: From-Scratch (VGG-19) vs. Pre-Trained (TF Hub)
    • Road Damage Detection at Scale: YOLOv5 Ensemble for Real-Time, Low-Cost Road Infrastructure Monitoring
    • Smart Video Analytics: Motion Detection for Security & Monitoring
  • Data Science Projects
    • Predicting Lending Club Loan Defaults with Machine Learning
    • Predicting House Prices with Stacked ML (Ames Housing)
    • WSJ Sentiment, Reader Engagement, and SP500 Moves
    • Visualizing U.S. COVID-19 Cases & Deaths with R Shiny
  • Publications
    • A Computer Vision-assisted Approach to Automated Real-Time Road Infrastructure Management
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    • Example Talk
  • Unsupervised Machine Learning Projects
    • Building customer personas for targeted marketing campaigns
    • Topic Modeling News Headlines to Classify Articles

Pandas

Oct 26, 2023 · 1 min read
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures.

Last updated on Sep 6, 2025
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Philippe Heitzmann
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Philippe Heitzmann
Technical AI Product Manager
PyTorch Oct 26, 2023 →

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