Banking Data Analysis Data Mining Deep Learning 
Knowledge Hut
MAY 9, 2024
They deploy and maintain database architectures, research new data acquisition opportunities, and maintain development standards. Average Annual Salary of Data Architect On average, a data architect makes $165,583 annually. It may go as high as $211,000! Additionally, they possess strong communication skills.
Knowledge Hut
JANUARY 18, 2024
For an organization, full-stack data science merges the concept of data mining with decision-making, data storage, and revenue generation. It also helps organizations to maintain complex data processing systems with machine learning. Who Is a Full-Stack Data Scientist?
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ProjectPro
DECEMBER 10, 2021
Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization , data mining, data analytics, data science, etc. methodologies.
Knowledge Hut
APRIL 20, 2023
To combat these dirty challenges thrown by hackers, the field of data science has emerged as a powerful player in the battleground against cybercrimes. Once this knowledge is applied, the data is cleaned and organized using techniques such as data analysis, feature engineering, and machine learning to make it usable and reliable.
ProjectPro
DECEMBER 21, 2021
Loan Eligibility Prediction Project This intermediate-level project will teach you machine learning aspects such as feature engineering , performing in-depth exploratory data analysis, etc. You will train and test the data model using the cross-validation method. You can use the SYL bank dataset for this project.
ProjectPro
DECEMBER 17, 2021
So, the goal is to use phase-contrast microscopy images and detect the neuronal cells with a high level of accuracy through deep learning algorithms. This challenge is about implementing deep learning object detection models over the thousands of images collected by the underwater camera.
Knowledge Hut
JUNE 11, 2024
In recent years, Machine Learning, Artificial Intelligence, and Data Science have become some of the most talked-about technologies. Companies of all sizes are investing millions of dollars in data analysis and on professionals who can build these exceptionally powerful data-driven products.
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