--- title: "#dataraflow articles | Hashnode" description: "Explore 79 articles tagged #dataraflow on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/dataraflow" --- Tag # #dataraflow 79 posts · 1 followers [Angelic Charles](https://hashnode.com/@ZQQ) · [Mar 27](https://hashnode.com/posts/i-built-a-multi-agent-ai-system-that-analyses-the-nigerian-tech-job-market-here-s-how/69c6544410e664c5dac6ba55) ### [I Built a Multi-Agent AI System That Analyses the Nigerian Tech Job Market — Here's How](https://nerdyalgorithm.hashnode.dev/i-built-a-multi-agent-ai-system-that-analyses-the-nigerian-tech-job-market-here-s-how?utm_source=hashnode&utm_medium=feed) Learn how I built a Multi-Agent GenAI system using Azure OpenAI and a Sequential Pipeline to analyze 500k+ LinkedIn job postings for the Nigerian tech 8 min read · [nerdyalgorithm.hashnode.dev](https://nerdyalgorithm.hashnode.dev/i-built-a-multi-agent-ai-system-that-analyses-the-nigerian-tech-job-market-here-s-how?utm_source=hashnode&utm_medium=feed) [Ifeanyi Ezerioha](https://hashnode.com/@Godwithus) · [Mar 2](https://hashnode.com/posts/decision-trees-random-forests-and-the-art-of-knowing-when-simple-is-enough/69a4e411a7428b958d06eda5) ### [Decision Trees, Random Forests, and the Art of Knowing When Simple Is Enough](https://godwithus.hashnode.dev/decision-trees-random-forests-and-the-art-of-knowing-when-simple-is-enough?utm_source=hashnode&utm_medium=feed) Week 18 of my data science internship at DataraFlow shifted the focus from distance-based and probabilistic classifiers to tree-based methods; a family of algorithms that don't just predict outcomes, 16 min read · [godwithus.hashnode.dev](https://godwithus.hashnode.dev/decision-trees-random-forests-and-the-art-of-knowing-when-simple-is-enough?utm_source=hashnode&utm_medium=feed) [Angelic Charles](https://hashnode.com/@ZQQ) · [Feb 24](https://hashnode.com/posts/week-19-clustering-nlp-dimensionality-reduction/699e27131ddf529956e35355) ### [Week 19: Clustering, NLP & Dimensionality Reduction](https://nerdyalgorithm.hashnode.dev/week-19-clustering-nlp-dimensionality-reduction?utm_source=hashnode&utm_medium=feed) DataraFlow 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 w 11 min read · [nerdyalgorithm.hashnode.dev](https://nerdyalgorithm.hashnode.dev/week-19-clustering-nlp-dimensionality-reduction?utm_source=hashnode&utm_medium=feed) [Angelic Charles](https://hashnode.com/@ZQQ) · [Feb 13](https://hashnode.com/posts/decision-trees-to-random-forests-learning-to-build-explainable-ai/698f4ad4ba49fa603cec0b91) ### [Decision Trees to Random Forests: Learning to Build Explainable AI](https://nerdyalgorithm.hashnode.dev/decision-trees-to-random-forests-learning-to-build-explainable-ai?utm_source=hashnode&utm_medium=feed) Week 18 with Dataraflow: Why Explainability Beats Complexity 15 min read · [nerdyalgorithm.hashnode.dev](https://nerdyalgorithm.hashnode.dev/decision-trees-to-random-forests-learning-to-build-explainable-ai?utm_source=hashnode&utm_medium=feed) [Ajiboye Raphael](https://hashnode.com/@PRaphael) · [Feb 12](https://hashnode.com/posts/week-16-at-dataraflow-random-forest-regression-the-single-feature-paradox-and-why-visualization-beats-blind-metrics/698e2024e02778efeb143976) ### [Week 16 at DataraFlow: Random Forest Regression, The Single Feature Paradox, and Why Visualization Beats Blind Metrics](https://week16.hashnode.dev/week-16-at-dataraflow-random-forest-regression-the-single-feature-paradox-and-why-visualization-beats-blind-metrics?utm_source=hashnode&utm_medium=feed) Hello everyone! 👋 Ajiboye here from Nigeria — just completed Week 16 of the intensive 6-month Data Science, Machine Learning & GenAI program at DataraFlow. This week’s module took us deep into ensemble methods, specifically Random Forest Regression.... 2 min read · [week16.hashnode.dev](https://week16.hashnode.dev/week-16-at-dataraflow-random-forest-regression-the-single-feature-paradox-and-why-visualization-beats-blind-metrics?utm_source=hashnode&utm_medium=feed) [Ifeanyi Ezerioha](https://hashnode.com/@Godwithus) · [Feb 11](https://hashnode.com/posts/the-regression-playbook-from-polynomial-curves-to-ensemble-methods-and-why-the-simplest-model-won/699250bfbfe301fafad989c8) ### [The Regression Playbook: From Polynomial Curves to Ensemble Methods (and Why the Simplest Model Won)](https://godwithus.hashnode.dev/the-regression-playbook-from-polynomial-curves-to-ensemble-methods-and-why-the-simplest-model-won?utm_source=hashnode&utm_medium=feed) A hands-on exploration of regression techniques on real-world datasets 10 min read · [godwithus.hashnode.dev](https://godwithus.hashnode.dev/the-regression-playbook-from-polynomial-curves-to-ensemble-methods-and-why-the-simplest-model-won?utm_source=hashnode&utm_medium=feed) [Blessing Ekeh](https://hashnode.com/@Blessing-Ekeh) · [Feb 10](https://hashnode.com/posts/precision-in-predestination-architecting-automated-loan-classification/698b97c821b7634a73032f73) ### [Precision in Predestination: Architecting Automated Loan Classification](https://blairpro.hashnode.dev/precision-in-predestination-architecting-automated-loan-classification?utm_source=hashnode&utm_medium=feed) How machine learning models are reshaping financial decision‑making. 6 min read · [blairpro.hashnode.dev](https://blairpro.hashnode.dev/precision-in-predestination-architecting-automated-loan-classification?utm_source=hashnode&utm_medium=feed) [Temitope Adereni](https://hashnode.com/@temmy7) · [Feb 10](https://hashnode.com/posts/week-14-at-dataraflow-what-happens-before-a-model-even-sees-your-data/698b9c8d92546263c2abff03) ### [Week 14 at DataraFlow: What Happens Before a Model Even Sees Your Data?](https://datababe.hashnode.dev/week-14-at-dataraflow-what-happens-before-a-model-even-sees-your-data?utm_source=hashnode&utm_medium=feed) What if the hardest part of machine learning isn’t the model, but everything that happens before it? That question defined my Week 14 at DataraFlow. This week wasn’t about flashy algorithms or building complex neural networks. It was about something ... 4 min read · [datababe.hashnode.dev](https://datababe.hashnode.dev/week-14-at-dataraflow-what-happens-before-a-model-even-sees-your-data?utm_source=hashnode&utm_medium=feed) [Angelic Charles](https://hashnode.com/@ZQQ) · [Feb 8](https://hashnode.com/posts/mastering-classification-algorithms-when-perfect-scores-become-red-flags/6988b9ad9729049b39217d5e) ### [Mastering Classification Algorithms: When Perfect Scores Become Red Flags](https://angelic.hashnode.dev/mastering-classification-algorithms-when-perfect-scores-become-red-flags?utm_source=hashnode&utm_medium=feed) Week 17 with Dataraflow: A Deep Dive into KNN, SVM, and Naive Bayes 13 min read · [angelic.hashnode.dev](https://angelic.hashnode.dev/mastering-classification-algorithms-when-perfect-scores-become-red-flags?utm_source=hashnode&utm_medium=feed) [Blessing Ekeh](https://hashnode.com/@Blessing-Ekeh) · [Jan 31](https://hashnode.com/posts/telecom-customer-churn-prediction-with-machine-learning-how-data-science-saves-millions-in-revenue/697e151874e1cbb51d342704) ### [Telecom Customer Churn Prediction with Machine Learning: How Data Science Saves Millions in Revenue](https://blairpro.hashnode.dev/telecom-customer-churn-prediction-with-machine-learning-how-data-science-saves-millions-in-revenue?utm_source=hashnode&utm_medium=feed) 1\. Introduction Every telecom company knows the pain of churn. One month a customer is paying their bill, the next they’ve switched to a competitor offering faster internet or a cheaper plan. It’s not just frustrating, it’s expensive. Losing customer... 14 min read · [blairpro.hashnode.dev](https://blairpro.hashnode.dev/telecom-customer-churn-prediction-with-machine-learning-how-data-science-saves-millions-in-revenue?utm_source=hashnode&utm_medium=feed)