In this article, I will explain the RFE, Sampling and ATOM module for processing multiple pipelines.
Recursive Feature Elimination, or RFE for short, is a popular feature selection algorithm.
RFE is popular because it is easy to configure and use and because it is effective at selecting those features (columns) in a training dataset that are more or most relevant in predicting the target variable.
What is Image Augmentation?
Image Augmentation, a solution to the problem of limited data. Image augmentation is a technique that can be used to artificially expand the size of a training dataset by creating modified versions of images in the dataset. Image Augmentation encompasses a suite of techniques that enhance the size and quality of training images such that better Deep Learning models can be built using them.
This blog explains, what is AmpliGraph and how to use it.
What is AmpliGraph?
AmpliGraph is a suite of neural machine learning models for relational Learning, a branch of machine learning that deals with supervised learning on knowledge graphs.
Use AmpliGraph if you need to:
AmpliGraph’s machine learning models generate knowledge graph embeddings, vector representations of concepts in metric space:
spaCy is a free, open-source advanced natural language processing library, written in the programming languages Python and Cython. spaCy mainly used in the development of production software and also supports deep learning workflow via statistical models of PyTorch and TensorFlow.
spaCy provides a fast and accurate syntactic analysis, named entity recognition and ready access to word vectors. We can use the default word vectors or replace them with any you have. spaCy also offers tokenization, sentence boundary detection, POS tagging, syntactic parsing, integrated word vectors, and alignment into the original string with high accuracy.
The pyspellchecker is an open-source package that allows you to correct spelling, as well as see candidate spellings for a misspelled word.
To install the package, you can use pip:
pip install pyspellchecker
First, we import the necessary packages,
Once installed, the pyspellchecker is straightforward to use. Note that even though we use “pyspellchecker” when installing via pip, we just type “spellchecker” in the package import statement.
This blog explains, what is BERT, advantages of BERT, how to classify the text using BERT model with Ktrain package.
BERT, which stands for Bidirectional Encoder Representations from Transformers developed by researchers at Google in 2018, is based on Transformers, a deep learning model in which every output element is connected to every input element, and the weightings between them are dynamically calculated based upon their connection. (In NLP, this process is called attention.)
Historically, language models could only read text input sequentially — either left-to-right or right-to-left — but couldn’t do both at the same time. BERT is different…
Aspiring Data Scientist and NLP enthusiast