-
**Fundamentals**
1. Introduction to ML
- What is ML
- Types of ML systems
- ML in R
2. Before the modeling process
- Problem framing
- Planning & scoping
- Experimentation
…
-
I wonder if you have considered the lime package, which was a sort of a buzz in the machine learning interpretability sphere. It seems you are using feature importance for after training the Random Fo…
-
Pose a question about one of the following possibility readings:
“[The unreasonable effectiveness of deep learning in artificial intelligence](https://www.pnas.org/content/pnas/early/2020/01/23/19…
-
Currently, the library only supports evasion attacks in computer vision. Is expanding the scope to include support for NLP (Natural Language Processing) attacks feasible? [TextAttack](https://github.…
-
We should decide whether we want to make a new REST endpoint for this (e.g. /3/ModelBuilders/decisiontree) or if we want to simply wrap the Random Forest or GBM function at the R/Py client level. How…
-
-
### Description
The NSL-KDD dataset, provided by the University of New Brunswick's Canadian Institute for Cybersecurity, serves as a revised version of the original KDD Cup 1999 dataset. It is exte…
-
Hello JOSE editors! Thanks for your work on this fantastic open journal! 👏
I am making a pre-submission enquiry. Our team in the [M²LInES - Multiscale Machine Learning In Coupled Earth System Mode…
-
### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : ChatGPT Paraphrases Analysis using NLP
:red_circle: **Aim** : The aim of this project to analyze the Ch…
-
Supervised and unsupervised learning algorithms
Artificial neural networks
Feature selection methods
Evaluation and validation of machine learning models