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Best Data Science Books for Beginners and Experienced [2024]

Knowledge Hut

After reading this book thoroughly, you can build real applications in a week or two maximum. R for Data Science – By Hadley Wickham and Garret Grolemund Source: amazon.com R is a programming language also used in many Data Science applications. The book might be fast-paced but is easy to understand and simple.

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15 Business Analyst Project Ideas and Examples for Practice

ProjectPro

Additionally, you will learn how to implement Apriori and Fpgrowth algorithms over the given dataset. You will also compare the two algorithms to understand the differences between them. Source Code: Ecommerce product reviews - Pairwise ranking and sentiment analysis Recommended Reading: How to learn NLP from scratch in 2021?

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Machine Learning Career Track, Learning Path & Roadmap

ProjectPro

The ai and machine learning job opportunities have grown by 32% since 2019, according to Linkedin’s ‘ Jobs on the Rise ’ list in 2021. According to the Wall Street Journal , the number of AI job postings in the United States roughly doubled in 2021.

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15 Data Mining Projects Ideas with Source Code for Beginners

ProjectPro

Often, beginners in Data Science directly jump to learning how to apply machine learning algorithms to a dataset. This basic analysis helps in realising important features of the dataset and saves time by assisting in selecting machine learning algorithms that one should use. The dataset has as many as 31 columns for you to explore.

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20 Web Scraping Projects Ideas for 2023

ProjectPro

Recommended Web Scraping Tool: The two web scraping libraries that will help you smooth this project’s implementation is BeautifulSoup and Requests of the Python programming language. Project Idea: You can build a system that collects the prices of a product from different eCommerce websites and prepares a list of them.

Project 52