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Step by step to perform NLP Algorithms

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  Introduction to NLP Algorithms Natural Language Processing (NLP) Algorithms are at the core of understanding and processing human language by machines. What are NLP Algorithms? NLP Algorithms are computational techniques that enable computers to understand, interpret, and generate human language. Importance of NLP Algorithms in Natural Language Processing NLP Algorithms play a crucial role in various applications such as sentiment analysis, machine translation, chatbots, and text summarization. Common Applications of NLP Algorithms These algorithms are widely used in social media monitoring, healthcare analytics, customer feedback analysis, and personal assistants like Siri and Alexa. Types of NLP Algorithms There are three main categories of NLP Algorithms: Supervised Learn ing, Unsupervised Learning, and Deep Learning. Supervised Learning Algorithms Logistic Regression Support Vector Machines Random Forest Unsupervised Learning Algorithms Clustering Algorithms Topic Modeling Al...
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End - End Statistics for Data Science

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Statistics for Data Science  Definition  Statistics is the science, or a branch of mathematics, that involves collecting, classifying, analyzing, interpreting, and presenting numerical facts and data. It is especially handy when dealing with populations too numerous and extensive for specific, detailed measurements. Statistics are crucial for drawing general conclusions relating to a dataset from a data sample.  Types of Statistics   There are two types of Statistics:  1. Descriptive Statistics  2. Inferential Statistics  Types of Data Let’s explore all types of data. Quantitative Data: 1. Discrete Data • It can take only discrete values. Discrete information contains only a finite number of possible values. Those values cannot be subdivided meaningfully. Here, things can be counted in whole numbers.  • Example: Number of students in the class, Number of bank accounts.  2. Continuous data • It represents measurements and therefor...
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