Machine Learning Zoomcamp at DataTalks.Club

 The Data Engineering Zoomcamp 2025, led by Alexey Grigorev at DataTalksClub, offers an in-depth exploration of modern data engineering practices. The first module, "Containerization and Infrastructure as Code," serves as a foundational entry point into the course, equipping participants with essential skills for building and managing scalable data systems. Module 1: Containerization and Infrastructure as Code This module introduces participants to two pivotal concepts in data engineering: containerization and infrastructure as code (IaC). By leveraging these technologies, data engineers can create consistent, reproducible environments and automate the provisioning of infrastructure, leading to more efficient and reliable data pipelines. Key Topics Covered: Introduction to Google Cloud Platform (GCP): Participants are introduced to GCP, a leading cloud service provider offering a suite of tools and services for building and managing data systems. The course provides guidance ...

 Classifying Bird Species: A Deep Learning Approach to Image Classification Bird species classification can contribute to various ecological and environmental studies, helping researchers identify patterns and protect endangered species. For my Capstone 1 project at MLZoomcamp led by Alexey Grigorev @DataTalks.Club, I took on the challenge of classifying bird species from a dataset of 25 Indian bird species, leveraging deep learning techniques for image classification. Here’s a breakdown of how I approached this problem: The Challenge The dataset, sourced from Kaggle, consists of over 22,600 images of 25 different bird species. The key challenges for this project included: Large Dataset: With more than  22,600  images, managing such a large dataset requires efficient    preprocessing and handling techniques. High Image Variability:  Different lighting conditions, angles, variations in bird image backgrounds, poses and image resolutions made it difficult fo...