Remove Algorithm Remove Big Data Tools Remove R (Programming)
article thumbnail

Top 25 Data Science Tools To Use in 2024

Knowledge Hut

Matlab: Matlab is a closed-source, high-performing, numerical, computational, simulation-making, multi-paradigm data science tool for processing mathematical and data-driven tasks. This tool is an amalgamation of visualization, mathematical computation, statistical analysis, and programming, all under an easy-to-use ecosystem.

article thumbnail

15 Business Analyst Project Ideas and Examples for Practice

ProjectPro

Project Idea: In this project, you will work on a retail store’s data and learn how to realize the association between different products. 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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Big Data Engineer Salary - How Much Can You Make in 2023?

ProjectPro

This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 Several industries across the globe are using Big Data tools and technology in their processes and operations. So, let's get started!

article thumbnail

Time Series Forecasting: What, Why, and, How?

ProjectPro

Regression Models Regression models include popular algorithms like linear regression vs logistic regression , etc. Depending on the nature of the time series data, we assume an equation for the trend and use methods like least-squares fitting to estimate the coefficients in the equation. to solve time series analysis problems.

article thumbnail

15 Power BI Projects Examples and Ideas for Practice

ProjectPro

Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization. Data scientists employ R programming language for machine learning, statistical analysis, and complex data modeling.

BI 52