Dr. Soumen Atta, Ph.D. is currently working as an Assistant Professor, Center for Information Technologies and Applied Mathematics, School of Engineering and Management, University of Nova Gorica, Slovenia.
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In this tutorial, we will explore the concept of recursion in Python and understand how it works through step-by-step examples.
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In this tutorial, we will explore how to use the TextRank algorithm to perform text summarization in Python.
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In this tutorial, we will cover the basics of creating and using cell arrays in MATLAB, along with some examples to demonstrate their usefulness.
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In this tutorial, we will explore the basics of numeric variables in MATLAB, including how to create them, perform arithmetic operations, and manipulate them using built-in functions.
#matlab#tutorial#numeric variables#programming#coding#computer science#data science#machine learning#medium#medium writers#programmer#codinglife#computer engineering#mathematics
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In this tutorial, we will cover the basics of variables in MATLAB, including how to create and manipulate them.
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In this tutorial, we will learn how to implement Naive Bayes for text classification in Python using the scikit-learn library.
#data science#machine learning#python#tutorial#coding#text classification#Naive Bayes#computer science#natural language processing#medium#medium writers#data analysis#programming#artificial intelligence#ai
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In this tutorial, we will explore how to perform sentiment analysis using Python with three popular libraries — NLTK, TextBlob, and VADER.
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Exploratory data analysis is a critical step in any data science project. By using a variety of techniques, we can gain insights into the data, identify patterns and relationships, and select appropriate features for modeling.
#machine learning#data science#artificial intelligence#ai#python#data analysis#tutorial#data visualization#data analytics#data scientist#data analytics course#data analyst course#computer science#medium#medium writers#python programming#programming
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In this tutorial, we will go through the steps of encoding categorical variables using Label Encoding in Python.
#machine learning#python#data science#tutorial#label encoding#categorical data#data analytics#data preprocessing#data scientist#data analysis#computer science#programming#coding#study material#python3
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In this tutorial, we have discussed four techniques for encoding categorical data into numerical data in Python: one-hot encoding, count encoding, target encoding, and label encoding.
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This tutorial covers the basics of creating and customizing various types of plots in MATLAB, including line plots, scatter plots, bar charts, pie charts, and surface plots.
#matlab#machine learning#data science#data visualization#tutorial#programming#graphs#computer science#research scientist#computer scientist#data analysis#data scientist#data analyst#data analytics course#artificial intelligence
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Learn how Seaborn, a powerful data visualization Python library with a high-level interface, can create informative and visually appealing statistical graphics - this tutorial covers a brief overview of Seaborn and its customization options.
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