Dimensionality Reduction — Feature Selection and Feature ExtractionDimensionality reduction is the process of reducing the number of variables/features. It reduces the model complexity and overfitting.Jul 19, 2022Jul 19, 2022
PCA — Principal Component Analysis Explained with Python ExampleA technique for reducing the dimensionality of datasets, increasing interpretability but at the same time minimizing information loss.Jul 19, 20221Jul 19, 20221
BERT — Bidirectional Encoder Representations from TransformerState-of-the-art Language Model for NLPNov 2, 2021Nov 2, 2021
What is Transformer Model? How does it work?The Transformer Model is a novel architecture that aims to solve sequence-to-sequence while handling long-range dependencies with ease. It…Jun 30, 2021Jun 30, 2021
Natural Language Processing (NLP) with Python’s Natural Language Tool Kit (NLTK)PackageNatural Language Processing is an automated way to understand and analyze natural human languages and extract information from such data by…Jun 15, 2021Jun 15, 2021
Recurrent Neural Networks (RNN)A Recurrent Neural Network works on the principle of saving the output of a particular layer and feeding this back to the input in order to…May 26, 2021May 26, 2021
CONVOLUTIONAL NEURAL NETWORK (CNN)Convolutional Neural Network (CNN) is a feed-forward neural network that is generally used to analyze visual images by processing data with…May 25, 2021May 25, 2021
DEEP LEARNING“Deep Learning is a collection of statistical machine learning techniques used to learn feature hierarchies based on the concept of…May 6, 2021May 6, 2021
RPA — ROBOTIC PROCESS AUTOMATIONROBOTIC — an entity that is capable of being programmed by a computer for doing complex tasks is known as a robot. in terms of RPA, this…Dec 3, 2019Dec 3, 2019
Apache Kafka is a distributed streaming system that can publish and subscribe a stream of records.Kafka is used for real-time streams of data, to collect big data, or to do real time analysis (or both). Kafka is used with in-memory…Nov 11, 2019Nov 11, 2019
