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feature-selection-techniques-in-regression-analysis

Feature selection techniques in regression analysis

Leave a Comment / Data Analysis, Data Science, Econometrics, Statstics /

Feature selection techniques in regression analysis aim to identify the most relevant and informative subset of features (variables) to improve model performance, reduce overfitting, and enhance interpretability. Here are five popular feature selection techniques for regression analysis: Recursive Feature Elimination (RFE): RFE is an iterative technique that starts with all features and gradually eliminates the […]

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Sentiment Analysis using TextBlob Python library

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What is TextBlob Sentiment Analysis? TextBlob Sentiment Analysis is a natural language processing (NLP) technique used to determine the sentiment or emotion expressed in a piece of text. TextBlob is a popular Python library that provides a simple API for various NLP tasks, including sentiment analysis. In sentiment analysis, the main goal is to automatically

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descriptive-statistics

Explore how to effectively use Descriptive statistics in your analysis

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Descriptive statistics are used to summarize and describe the main features of a dataset. Depending on the type of data and the specific research or analysis objectives, different descriptive statistics can be employed. Here are some common descriptive statistics and where to use them: Mean The arithmetic average of a set of values. Use the

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R & Python: Public Health Data Analysis

Leave a Comment / Data Analysis, Data Science, Public Health /

Are you passionate about leveraging data-driven insights to make a positive impact on global health? Do you thrive on using cutting-edge tools to address public health challenges?If yes, then this post is for YOU! In the fast-evolving world of public health, data analysis is a key driver for informed decision-making and policy formulation. 💡 R

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Implications of Natural Language Processing (NLP)

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Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and human language. It encompasses a wide range of techniques and algorithms that enable computers to understand, interpret, and generate natural language in a meaningful and useful manner. In this article, we will explore the fascinating world of

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