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Naive Bayes in Machine Learning [Examples, Models, Types]

Knowledge Hut

In this article, I'll walk you through the fundamentals of Naive Bayes, a robust machine learning algorithm. Known for its simplicity, speed, and effectiveness, especially in real-time scenarios, Naive Bayes leverages Bayes' theorem and assumes feature independence for swift predictions.

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50 ML Projects To Strengthen Your Portfolio and Get You Hired

ProjectPro

The most trusted way to learn and master the art of machine learning is to practice hands-on projects. Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume. Each project explores new machine learning algorithms, datasets, and business problems.

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20 Python Projects for Data Science in 2023

ProjectPro

Table of Contents Why Learn Python for Data Science? Top 20 Python Projects for Data Science Getting Started with Python for Data Science FAQs about data science projects Why Learn Python for Data Science? Python has come to command a celebrity status in data science over the years.

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10 Real World Data Science Case Studies Projects with Example

ProjectPro

We have developed ten exciting data science case studies to explain how data science is leveraged across various industries to make smarter decisions and develop innovative personalized products tailored to specific customers. Walmart Sales Forecasting Project uses historical sales data for 45 Walmart stores located in different regions.

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100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry. Normalization is not useful in a star schema, and there is high data redundancy. that leverage big data analytics and tools. Takes up less space.

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How to Solve a Multi Class Classification Problem with Python?

ProjectPro

Whether it is predicting the behavior of customers, predicting the ad click-through rate of a campaign, or assessing the credit worthiness- classification problems find extensive business applications across industries. Classification is a prevalent supervised task of machine learning. Binary Transformation 2.

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