Welcoem to posts!!
in the future - u will be able to do some more stuff here,,,!! like pat catgirl- i mean um yeah... for now u can only see others's posts :c
Which of the following is correct about train test split?Justify in the comment.
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Just a try with ChatGPT π
Why is Premalatha a Data Scientist? π€Why Why Why???
P β Sheβs a PRO at predicting trends!
R β Her REPORTS always impress!
E β Sheβs an EXPERT in making sense of data!
M β Sheβs a whiz at MODELLING complex problems!
A β Always ANALYZING for deeper insights!
L β She loves LEARNING from every dataset!
A β Sheβs an ADVOCATE for data-driven decisions!
T β Sheβs a TRENDSETTER in analytics!
H β She finds the HIDDEN PATTERNS in every bit of data!
A β And sheβs ALWAYS EXCITED about new discoveries!
Think you can come up with a similar breakdown for someone else in data science? Share your version and tag me! Letβs see how creative we can get with our data-driven superstars! ππ
You can change this if you know me!!Ur response will be appreciated!!
#chatgpt #joke #acronym #generativeai #artificialintelligence #computerscience #engineering
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You are a data analyst for a popular e-commerce company, TrendyMart. Your team is responsible for analyzing customer purchase behavior to improve marketing strategies. You have a dataset that includes customer demographics, purchase history, and product categories. You are asked to create a dashboard that will help the marketing team understand which customer segments are most valuable.
Scenario:
You want to visualize the following insights on your dashboard:
The total revenue generated by different age groups.
The most popular product categories among different customer segments.
The geographic distribution of high-value customers.
The trend of monthly sales over the past year.
Question:
Which combination of visualizations would best help the marketing team understand the customer segments and make data-driven decisions?
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We're planning our next deep dive into data science!
Which topic are you most excited to learn about next?
Cast your vote and let us know in the comments if you have any specific questions or aspects you'd like us to cover. Your input helps us create the best content for you! π§ π‘#DataScience #Poll #YourChoice #NextVideo
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Welcome to Datascience Monster β your ultimate hub for mastering data science, machine learning, and statistics with simplicity, fun, and excitement! ππ€π
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