With that in mind, I’m going to start with some of the more fundamental algorithms and then dive into some newer algorithms like CatBoost, Gradient Boost, and XGBoost. Linear Regression Linear Regression is one of the most fundamental algorithms used to model relationships between a dependent va...
If we achieved a good model, now we have to learn to deal with its errors. As I said in the other post, this is the easiest plot to explain to the C-level guys to understand the consequences of getting your model to production. For example, if we tell them that our regression...
Five Machine Learning Projects to Boost your AI Expertise Project-based learning aimed at enhancing expertise in AI Shahriar Hossain Jun 21, 2024 Key Problem-Solving Algorithms and Strategies in AI Key Problem-Solving Algorithms and Strategies in AI Major Families of Algorithms in Problem-Solving for...
Trying out all the machine learning tools Nothing Found Apologies, but no results were found. Perhaps searching will help find a related post. Search for: Recent Posts
If you’re a beginner, the Machine learning course taught online by the University of London will be right for you. The distant learning course boasts of tutorials, videos and sample questions, and case studies that will develop your understanding of using data to train statistical algorithms. ...
In this paper, we propose a machine-learning approach to accelerate the design of these nanostructures. Using a data set of 12 170 samples containing four geometric parameters of the nanostructure and the incidence wavelength, trained neural network and polynomial regression algorithms were capable of...
Unveiling OpenAI Q*: The Fusion of A* Algorithms & Deep Q-Learning Networks Explained - Embark on a journey of discovery with our podcast, 'What is OpenAI Q*? A Deeper Look at the Q* Model'. Dive into the cutting-edge world of AI as we unravel the mysteries of OpenAI's Q* model...
This repository will contain all the stuffs required for beginners in ML do follow and star this repo for regular updates This repo contains data preprocessing steps need to be known by beginners For every ML beginner python is recommended, this repo is full of ML python algorithms. ...
After that, you will start experimenting with various RL algorithms and model architectures. You can try building a model on Deep Q-learning or Proximal Policy Optimization algorithm. Machine Learning Projects for Final Year Students The final year project requires you to spend a certain amount of...
Python is a powerful tool used to analyse data, create beautiful visualisations, and use powerful machine learning algorithms! Did you know that DataScience is marked as No.1 in-demand job role in Glassdoor. This course is designed for both beginners with some programming experience or experienc...