ACAngelic Charlesinnerdyalgorithm.hashnode.dev·Mar 27 · 8 min readI Built a Multi-Agent AI System That Analyses the Nigerian Tech Job Market — Here's HowFor my Generative AI capstone at DataraFlow, I had one brief: build a multi-agent AI system that solves a real-world problem using Azure OpenAI. Instead of picking something generic, I wanted somethin10
ACAngelic Charlesinnerdyalgorithm.hashnode.dev·Feb 24 · 11 min readWeek 19: Clustering, NLP & Dimensionality ReductionDataraFlow Week 19 was one of the most technically dense weeks of DataraFlow so far. We went from grouping customers by shopping behaviour, to teaching a machine how to read text, to compressing 13 w10
ACAngelic Charlesinnerdyalgorithm.hashnode.dev·Feb 13 · 15 min readDecision Trees to Random Forests: Learning to Build Explainable AIWeek 18 of Dataraflow emphasized the importance of interpretability in machine learning, focusing on Decision Trees and Random Forests. Unlike "black box" algorithms, Decision Trees offer clear, human-like decision paths, making them invaluable for b...10
ACAngelic Charlesinangelic.hashnode.dev·Feb 8 · 13 min readMastering Classification Algorithms: When Perfect Scores Become Red FlagsIntroduction: The Week Everything Went "Too Well" Week 17 was supposed to be my introduction to classification algorithms. What I didn't expect was to stumble into one of the most important lessons in data science: perfect scores are usually lies. Ac...00
ACAngelic Charlesinnerdyalgorithm.hashnode.dev·Jan 26 · 25 min readWeek 16 with Dataraflow: My Journey Through Advanced Machine Learning - Random Forests, Classification, and Customer Churn PredictionIntroduction Week 16 with Dataraflow was a transformative experience in my data science journey. This wasn't just about running algorithms, it was about truly understanding the "Fail & Fix" philosophy that turns errors into powerful learning opportun...00
