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15 Data Mining Projects Ideas with Source Code for Beginners

ProjectPro

Please don’t think twice about scrolling down if you are looking for data mining projects ideas with source code. Often, beginners in Data Science directly jump to learning how to apply machine learning algorithms to a dataset. So, by working on this dataset, you can learn how to handle such kinds of values.

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How to Become a Technical Product Manager in 2024?

Knowledge Hut

Hard Skills: Software Development Skills : Software development skills are indispensable for technical managers, even if they don’t directly write code. Data Structures and Algorithms: Understanding data structures relevant to data intelligence is essential. Make sure to emphasize your strengths and competencies in your resume.

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Data Science Jobs in the US in 2023 [Steps to Land One]

Knowledge Hut

Data science jobs for freshers in USA employ graduates from master programs in disciplines related to data science, a bachelor's degree holder in the relevant field can also land entry-level data science jobs in the US. Since they are highly sought-after careers, the portfolio of candidates with no experience must be strong.

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Best Online Courses with Certificates in 2024 [Free + Paid]

Knowledge Hut

Harvard University- CS50's Introduction to Computer Science Overview: This course introduces computer science's intellectual activities and the art of programming. Course Length: 11 weeks Learn more about the program ! Course Length: 8 hours Learn more about the program !

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Correlation vs. Covariance

ProjectPro

They rely on data science algorithms to understand customer behavior, predict sales, etc. When working with datasets of different types to implement data science algorithms, one has to understand the datasets properly. They then use the algorithms to formulate necessary predictions from the data.

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Top 15 Machine Learning Use Cases in 2023

ProjectPro

Deep learning solutions using Python or R programming language can predict fraudulent behavior. Classification algorithms can effectively label the events as fraudulent or suspected to eliminate the chances of fraud. It is continually achieving better model portfolios as a result.

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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?