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Data Scientist vs. Data Analyst 📈📉📊 ❓Which one do you think is more suitable for you? 🚀Share your thoughts in the comments below! Credit: @datascience_supremequeen #DataScienceSupremeQueen
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Data Science Career Choice 🎈 Credit: @bigdataspecialist #datascience #datascientist #coding #innovation #technology #machinelearning #deeplearning #artificialintelligence #data #datamining #bigdata
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Data Distributions 📉📈📊Credit: @bigdataspecialist #datascience #datascientist #coding #innovation #technology #machinelearning #deeplearning #artificialintelligence #data #datamining #bigdata #anal
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Top 5 Skills Every Data Scientist Must Have 📊📈👩🏼‍💻 Data science is one of the most in-demand careers today, but what does it really take to succeed in this field? Whether you’re just starting ou
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Data Visualization Tips: Popular Tools and Techniques 📈📉📊 Unleash the power of your data with effective visualization! Here’s a mini-guide to help you create professional presentations: 1. Tableau
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🔍 Deep Seek: The Next Frontier in Data Science Ever heard of Deep Seek? 🤔 It’s a game-changer in how we search, analyze, and interpret large, complex data sets. If you’re in data science, this might
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📉 What is Dropout? 🤔 In the world of machine learning, dropout is a technique used to improve the performance and prevent overfitting of neural networks. 🔍 What is Overfitting? Overfitting occurs
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What are the Skills Required to Become a Data Scientist? 📊📈 Are you passionate about data and looking to dive into the world of data science? Here are the key skills you’ll need to master to become
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Understanding SQL: A Comprehensive Overview for Data Scientists 💻 🔍 What is SQL? SQL (Structured Query Language) is your go-to for managing and querying relational databases. Essential for data wra
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What is Gradient Descent? 🚀 Gradient Descent is a fundamental optimization algorithm used in machine learning and deep learning. Here’s a quick breakdown! ⬇️ 🧠 Understanding the Basics: • Object
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The Purpose of Data Cleaning in Data Science 🔍📊 Let’s dive into an essential step in the data science journey: Data Cleaning. Ever wondered why it’s such a big deal? Let’s break it down! 🚀 🧹 W
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What is an RNN? 🔄📊 A Recurrent Neural Network (RNN) is a type of artificial neural network where connections between nodes can create cycles. This means that the network has a “memory” of previous
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About @datascience_supremequeen

Data Science Everyday is a Instagram nano influencer in the Digital creator category. With 4.9K followers and 12 posts, datascience_supremequeen's account shows a follower-to-following ratio of 153.4:1. View all content anonymously on Pictame - no login required.

datascience_supremequeen's engagement rate sits at 10.76%. That's 115% above what you'd typically see for accounts with 1K-10K followers (average 5%) — a sign of a genuinely connected audience.

Out of the last 12 posts, 33% are videos and 67% are photos. Notably, photos tend to get 19.3x more engagement than videos. Content shows up about every 38 days. Captions lean detailed, averaging 1500 characters.

10.76% engagement rate — 115% above average for 1K-10K follower accounts.
33% videos, 67% photos. Photos get 19.3x more engagement here.
Posts about every 38 days.
153.4:1 follower-to-following ratio.

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datascience_supremequeen
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@datascience_supremequeen

Data Science Everyday

PublicDigital creator
Posts
12
Followers
4.9K
Top Hashtags
#DataScienceSupremeQueen#DataScience#ArtificialIntelligence#DataAnalysis#MachineLearning#BigData#DataVisualization#DeepLearning

Explore the most impactful hashtags used in recent posts. These tags highlight the core interests and trending topics that define this profile's digital influence and content strategy.

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Popular Hashtags

#photographer#sun#trend#workout#instafood#baby#follow4follow#amor#interiordesign#illustration#home#tiktok
Following
32
Avg. Likes
525
Avg. Comments
3
Engagement
10.75%

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