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A Day in the Life of a Data Scientist

Knowledge Hut

From wrestling with complex datasets to crafting predictive models, a data scientist's routine is a dynamic interplay of analytical prowess, coding finesse, and a profound understanding of the business landscape. Data Integration : Merging and harmonizing data from diverse origins to create a coherent dataset for thorough examination.

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AI Engineer Career Opportunities and Job Outlook

Knowledge Hut

New generative AI algorithms can deliver realistic text, graphics, music and other content. Artificial Intelligence Technology Landscape An AI engineer develops AI models by combining Deep Learning neural networks and Machine Learning algorithms to utilize business accuracy and make enterprise-wide decisions. between 2022 to 2030.

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A Collection of Take-Home Data Science Challenges for 2023

ProjectPro

Furthermore, solving difficult problems in data science not only prepares you for the future but also teaches you the latest tools, techniques, algorithms and packages that have been introduced in the industry. Here are five of the most recent data science take-home challenges on Kaggle that you must try in 2022.

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Machine Learning Projects to Practice in 2023

ProjectPro

As an aspiring machine learning professional, a portfolio is the most important asset to have in your job search. But what if you don’t have a machine learning portfolio because you are going to need diverse skills and projects under your belt to land a top machine learning gig. Stock Code: This refers to the product ID.

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15 SQL Projects Ideas for Data Analysis to Practice in 2023

ProjectPro

You can use these SQL projects for data analysis and add them to your data analyst portfolio. Dataset: As an example, you can use this Walmart Dataset on Kaggle. The dataset contains Walmart store sales (Year, Month, Product Category, and Sales) for 2009-2014. You will also have weather and holiday data.

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A Beginner’s Guide to Learning PySpark for Big Data Processing

ProjectPro

Features of PySpark The PySpark Architecture Popular PySpark Libraries PySpark Projects to Practice in 2022 Wrapping Up FAQs Is PySpark easy to learn? Furthermore, PySpark allows you to interact with Resilient Distributed Datasets (RDDs) in Apache Spark and Python. Why use PySpark? How long does it take to learn PySpark?

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7-Step Guide to Become a Machine Learning Engineer in 2023

ProjectPro

3) Machine Learning Engineer vs Data Scientist 4) How to Become a Machine Learning Engineer-Learn Machine Learning Skills 5) Build a Machine Learning Portfolio 6) Find the Best Machine Learning Jobs 7) Ace Your Machine Learning Interview How to become a machine learning engineer without a degree? The job of a data scientist is exploratory.