Author Archives: Vijaysinh Lendave - Page 3
In this article, we will discuss how SMOTE technique can be used to improve the performance of weak learners such as SVM.
A recommender system, sometimes known as a recommendation engine, is a type of information filtering system that attempts to forecast a user's "rating" or "preference" for an item. In this post, we will look at RGRecSys, a library that performs constraint evaluation of recommender systems.
In this article, we will discuss the uplift modelling, its types of modelling, and Python-based package called CausalML can be used to address the causal inference.
In this article, we will take a look at another possible methodology to make decisions at a more minute level, that is Fuzzy logic systems.
The PyFBAD library is an unsupervised anomaly detection package that works from start to finish. All ml-flow phases have source codes in this package.
In this article, we will discuss the VisionKG in detail and will see how it can query the dataset like COCO and ImageNet.
In this article, we will talk about how to segment images at the image level using the image-level supervision approach.
In this article, we will discuss Python based package HyperTools in detail and how it can help in visualizing high dimensional data.
In this article, we will take a look at knowledge distillation and will discuss its context briefly.
In this article, we are going to discuss how neural networks are being used in the art industry and we will take a look at NN-based architecture called Paint Transformer which results in human-crafted painting images of given natural images.