-
We need to integrate a Support Vector Regression (SVR) model into the project for predicting the target variable using the given dataset. The proposed model will use a linear kernel with the parameter…
-
In terms of functionality, the mid-term end goal is to achieve an offering of ML algorithms and pre-processing routines comparable to what is currently available in Python's [`scikit-learn`](https://s…
-
### Evaluation
- [ ] [Confusion matrices](https://towardsdatascience.com/understanding-confusion-matrix-a9ad42dcfd62)
- [Source 2](https://en.wikipedia.org/wiki/Confusion_matrix)
- [ ] [Precision…
-
## materials
1. Introduction: Artificial Intelligence Systems, Intelligent agents
2. Basic Theory of Probabilistic Reasoning
3. Fuzzy Logic 1: Definition of fuzzy logic, getting to know the differe…
-
Since the XGBoost 1.6, we have been working on having multi-output support for the tree model. In 2.0, we will have the initial implementation for the vector-leaf-based multi-output model. This issue …
-
We have very high dimensional data and we need to build many models in a binary representation. To tackle this, we have to take the help of Logistic Regression with One vs Rest classifier. The classif…
-
In the machining learning methods listed below, which one can be used for both classification and regression?
Select one:
- A. Linear Regression
- B. Support Vector Machines
- C. Random Forest…
-
**Algorithms**
* Linear Model
- [x] Ordinary Least Squared Linear Regression
- [x] Gradient Descent Linear Regression
- [x] Stochastic Gradient Descent Linear Regression
- [x] Logist…
-
## Objective
Implement the following Classification Models for classification of whether the ***'Type of Location'*** of the AQI data is ***'Industrial Area'*** or ***'Residential, Rural and other A…
-
## *Repository Creation Request*
Use this to get your experiment repository created or updated on GitHub under Virtual Labs organization.
1. #### Coordinating Institute: Amrita Vishwa Vidyapeeth…