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Marcello PolitiinTowards AIIntroduction to ETL Pipelines for Data ScientistsLearn the basics of data engineering to improve your ML modelsJul 11Jul 11
Marcello PolitiinTowards Data ScienceMLOps — Data Validation with PyTestRun deterministic and non-deterministic tests to validate your datasetJun 112Jun 112
Marcello PolitiinTowards Data ScienceMLOps — Hyperparameters Tuning with MLflow and Hydra SweepsLearn how to build an efficient pipeline with Hydra and MLflowApr 25Apr 25
Marcello PolitiinTowards Data ScienceMlOps — A gentle introduction to Mlflow PipelinesOrchestrate your end-to-end machine learning lifecycle with MLflowMar 134Mar 134
Marcello PolitiinTowards Data ScienceA Practical Approach to Algorithm EfficiencyExploring Big O Notation, Runtime Efficiency, and Algorithmic ScalabilityFeb 16Feb 16
Marcello PolitiinTowards AIONNX Unleashed: Training and Optimizing BERT Models for Streamlit Web AppsLearn to quantize and deploy your Deep Learning model with ONNXJan 301Jan 301
Marcello PolitiinTowards Data ScienceDeploy Tiny-Llama on AWS EC2Learn how to deploy a real ML application using AWS and FastAPIJan 123Jan 123
Marcello PolitiinTowards Data ScienceA Simple CI/CD Setup for ML ProjectsApply best practices and learn to use GitHub Actions to build robust codeDec 20, 20238Dec 20, 20238
Marcello PolitiinTowards Data ScienceDesign Patterns with Python for Machine Learning Engineers: PrototypeLearn how to use the Prototype design pattern to enhance your codeDec 5, 20233Dec 5, 20233