razashan / ML-DeepLearning-Workshop

Welcome to the repository for a comprehensive three-week workshop on Machine Learning and Deep Learning. Explore practical guides, code samples, and resources to learn the fundamentals and hands-on implementation of ML and Deep Learning with Python.

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ML-DeepLearning-Workshop

Welcome to the repository for a comprehensive three-week workshop on Machine Learning and Deep Learning. Explore practical guides, code samples, and resources to learn the fundamentals and hands-on implementation of ML and Deep Learning with Python.

Workshop Overview

Week 1: Machine Learning and its Industrial Applications

In the first week of the workshop, we explored the real-world impact of Machine Learning (ML) across various industries. We uncovered innovative applications and insights into how ML is transforming businesses. Topics covered included:

  • Introduction to Machine Learning
  • Industrial applications of Machine Learning
  • Case studies and practical examples

YouTube Link: Week 1 Workshop Video

Week 2: Hands-on Implementation of Machine Learning with Python

During the second week, we got hands-on with Python to build and deploy ML models. We simplified the complexities of ML and worked on practical exercises. Topics covered included:

  • Python for Machine Learning
  • Data preprocessing and feature engineering
  • Building and evaluating ML models

YouTube Link: Week 2 Workshop Video

Week 3: Hands-on Implementation of Deep Learning with Python

In the third week, we took a deep dive into the fascinating world of Deep Learning. We explored neural networks and their practical applications, paving the way for understanding cutting-edge technologies. Topics covered included:

  • Introduction to Deep Learning
  • Neural networks and architectures
  • Deep Learning in action with Python

YouTube Link: Week 3 Workshop Video

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Welcome to the repository for a comprehensive three-week workshop on Machine Learning and Deep Learning. Explore practical guides, code samples, and resources to learn the fundamentals and hands-on implementation of ML and Deep Learning with Python.


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