Algorithm Data Analysis Tools Programming Language 
Knowledge Hut
MAY 23, 2024
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.
Knowledge Hut
JUNE 16, 2023
AI systems work by consuming vast volumes of labelled training data, analyzing the data for correspondence and patterns, and then using these patterns to forecast future states. New generative AI algorithms can deliver realistic text, graphics, music and other content.
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Knowledge Hut
MAY 31, 2023
Sales Analysis Source Code Dataset Customer Review Sentiment Analysis It is the process of determining the emotional state of customers after they purchase or use the products. Students can use Python or R for data analysis. Tools like TextBlob and NLTK for sentiment analysis.
U-Next
DECEMBER 2, 2022
Data science is a field of study that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. The tools and techniques used by data scientists are constantly changing and improving.
ProjectPro
JANUARY 31, 2023
With the introduction of advanced machine learning algorithms , underwriters are bringing in more data for better risk management and providing premium pricing targeted to the customer. Customer data is collected using machine learning algorithms to identify patterns and insights. Check them out now!
Knowledge Hut
FEBRUARY 15, 2023
Mastering SQL allows you to update and modify data structures and queries in a relatively larger data set. Programming Knowing programming languages assists in handling databases. A programming language refers to a set of unique instructions aimed to give a desired output.
ProjectPro
FEBRUARY 5, 2022
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.
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