It is a repository for Mini-project #1 database and source codes of COMP-598: Topics in Computer Science: Applied Machine Learning presented by professor Joelle Pineau at McGill university. Please find dataset in the CVS file called "final_200kSample_plusTemp" ...
Learn the most important language for data science. Intro to Machine Learning 3 hours to complete Learn the core ideas in machine learning, and build your first models. Pandas 4 hours to complete Solve short hands-on challenges to perfect your data manipulation skills. ...
DVC - Data Science Version Control is an open-source version control system for machine learning projects with pipelines support. It makes ML projects reproducible and shareable. DVClive - Python library for experiment metrics logging into simply formatted local files. VDP - open source visual data...
For more details, please refer to theread me pageof a separate directory ormachine learningsection on my personal blog. 2. Wisdom of Crowds project Every now and then, we read some bulge brackets hit the headline, “XXX will reach 99999€ in 20YY”. Some forecasts hit the bull’s eye ...
Deepy is an extensible deep learning framework based on Theano. It provides a clean, high-level interface for components such as LSTMs, Batch Normalization, and Auto Encoders. Deepy clearly aims for simplicity, and itsdocumentationand examples aim for the same. It also has a sister project,...
In this mini-course, you will discover how you can get started, build accurate models and confidently complete predictive modeling machine learning projects using Python in 14 days. This is a big and important post. You might want to bookmark it. Kick-start your project with my new book Ma...
Get started with machine learning - craft your first artificial neural networks using Python and TensorFlow
Completed: Small projects help you have finished projects. Set a modest project objective and achieve it. Like mini-experiments, you present the findings of your successes and your failures, they are all useful learnings. Independent: Each project should be independent so that it can be understoo...
The development of materials is one of the driving forces to accelerate modern scientific progress and technological innovation. Machine learning (ML) technology is rapidly developed in many fields and opening blueprints for the discovery and rational de
An epoch in machine learning refers to one complete pass of the training dataset through a neural network, helping to improve its accuracy and performance.