data science for engineers
Welcome to our comprehensive repository dedicated to the "Python for Engineers" course for master's students. This repository is a curated collection of examples, code, and resources designed to enhance learning and provide practical insights into the application of Python in engineering and data science.
- Repository: mmysior/transformers-nlp
- Description: Explore natural language processing examples using the Huggingface library. Dive into the world of transformers and how they revolutionize NLP.
- Repository: mmysior/kaggle-titanic
- Description: A classification example utilizing the Scikit-learn library to predict Titanic survivors. A great starting point for understanding machine learning basics.
- Repository: mmysior/lego-history
- Description: An engaging example of data analysis in Python, exploring the history and evolution of LEGO sets. Perfect for data enthusiasts.
- Repository: mmysior/perceptron
- Description: Implement a perceptron, a fundamental building block of deep neural networks, in Python. A hands-on introduction to neural networks.
- Repository: w10k57-education/ml-fundamentals
- Description: Examples of supervised (classification and regression) and unsupervised learning (clustering). A foundation for understanding the core concepts of machine learning.
- Repository: w10k57-education/bolted-connections
- Description: Python code for calculating basic parameters of bolted connections. Essential for engineers designing mechanical connections.
- Repository: Innovation-Assessment Repo
- Description: A complete and published repository with a Binder image. An innovative approach to presenting and sharing educational content.
This repository is a treasure trove of resources for engineering students interested in applying Python in their studies and future careers. Dive in, explore, and let the learning begin! 🚀