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Word Sense Disambiguation: Importance in Natural Language Processing

Word Sense Disambiguation is an important method of NLP by which the meaning of a word is determined, which is used in a particular context

Must-Know Statistical Data Analysis Techniques in Machine Learning!

In this article, we are going to deep dive into Must-Know Statistical Data Analysis Techniques in Machine Learning

Part 10: Step by Step Guide to Master NLP – Named Entity Recognition

In this article, we will deep dive into the entity extraction technique - Named Entity Recognition, which is very useful the pipeline of NLP

Part 9: Step by Step Guide to Master NLP – Semantic Analysis

We will discuss on Semantic analysis, which is a level of the NLP tasks, and see all the important terminologies or concepts in this analysis

Traversing the Trinity of Statistical Inference Part 2: Confidence Intervals

In this article, we’ll discuss the concept of confidence intervals. Before moving to the concept we will discuss some essential concepts

Tune Hyperparameters with GridSearchCV

Learn about GridSearchCV which uses the Grid Search technique for finding the optimal hyperparameters to increase the model performance.

Understanding ResNet and analyzing various models on the CIFAR-10 dataset

In this article, we will Understanding ResNet and analyzing various models on the CIFAR-10 data. This is an important deep learning concept

TS-SS similarity for Answer Retrieval from Document in Python

TS-SS similarity is a Hybrid Geometric Approach for Measuring Similarity Level Among Documents and Document Clustering in NLP

Resume Screening with Natural Language Processing in Python

Performance Comparison of Tuned and Untuned Classification Models

We will compare the Tuned and Untuned Models under each algorithm applied based the performance scores of all Tuned Models