Data Science and AI Quest

This technical blog is my own collection of notes , articles , implementations and interpretation of referred topics in coding, programming, data analytics , data science , data warehousing , Cloud Applications and Artificial Intelligence . Feel free to explore my blog and articles for reference and downloads . Do subscribe , like , share and comment ---- Vivek Dash

Showing posts with label indexing. Show all posts

Showing posts with label indexing. Show all posts

Wednesday, July 21, 2021

Part-Of-Speech Tagging in Natural Language Processing in Data Science and Analytics | Sample Conceptual Questions with Answers with examples | Infographic Note

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Labels: indexing, inflection word, lemmatization, morphological analysis, natural language processing, nltk, POS-tagging, search engines, Stemming, text pre-processing, text processing, variant word, wordNetLemmatizer

Introduction to the concept of "Lemmatization" in Natural Language Processing with 3 general questions and answers with sample code | An Infographic Note

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Labels: indexing, inflection word, lemmatization, morphological analysis, natural language processing, nltk, POS-tagging, search engines, Stemming, text pre-processing, text processing, variant word, wordNetLemmatizer

Thursday, July 8, 2021

Infographic Note on Numpy Arrays in Python with Questions and Answers on Random Numeric Data Creation and Data Retrieval upon positional indexes

Discussed the following questions in the above post :

Q1) Give an example of SEED function and how to use it .

Q2) What is One-Dimensional indexing ?

Q3) Print first , last position elements of a Numpy Array

Q4) Print seond , third position elements of a Numpy Array

Q5) How to identify last number of numpy array ?

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Labels: 1D indexing, ai, algorithms, artificial intelligence, data analytics, data exploration, Data Retrieval, data science, functions, indexing, machine learning, notes, positional indexing, seed function, summary

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One Hot Encoding and Dummy Variables Generation upon a dataframe | Scenario - Perform One-Hot Encoding upon Un-Ordered Data in a sample dataframe and generate One-hot encoded feature variables | Conceptual Infographic Note

Data Pre-processing in Machine Learning - All the constituent steps which are part of a Machine Learning Project ( infographic notes )
One Hot Encoding and Dummy Variables Generation upon a dataframe | Scenario - Perform One-Hot Encoding upon Un-Ordered Data in a sample dataframe and generate One-hot encoded feature variables | Conceptual Infographic Note
Twitter Sentiment Analysis Conceptual Infographic Notes | Getting Started with Sentiment Analysis based NLP Project with its main objectives , considerations , challenges , Approach and Steps

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