-
### Feature Name
Title: Add Q-Learning
### Feature Description
Develop a Q-Learning algorithm as a model-free reinforcement learning method that learns the value of actions in a given state.
### M…
-
https://github.com/xjiajiahao/federated-minimax
https://arxiv.org/abs/2105.14216
-
Overview
This project aims to predict the prices of Pre-Owend cars using machine learning algorithms. By analyzing various features such as make, model, year, and condition, the predictor provides us…
-
**Learning Goals:**
- Understand the concept and use of the Random Forest Classifier and K-Nearest Neighbors (KNN) algorithm.
- Learn how to preprocess medical data for machine learning, particula…
-
As a developer, I want to set up a basic anomaly detection model with standard machine learning algorithms, so that I can quickly evaluate initial model performance.
-
### Is your feature request related to a problem? Please describe.
Users might not know how to optimize their resumes with the right keywords, job descriptions, or skills that stand out to employers …
-
Create a program that provides real-time traffic updates using GPS and machine learning algorithms.
-
### Idea Title
Buchberger's Algorithm implementation
### Idea Description
I will add Buchberger's Algorithm implementation, which will help users gain knowledge about this algo too.
### Potential…
-
I would like to implement decision trees, neural networks and the K-Means Clustering algorithm i.e. 2 supervised and 1 unsupervised learning algorithm, without using sklearn so that beginners to machi…
-
1. **Grokking Deep Learning**
https://edu.anarcho-copy.org/Algorithm/grokking-deep-learning.pdf
2. **Deep Learning - Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe**
P…
Eteiz updated
2 weeks ago