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How does the win meter know the future? 🏏🔮 Behind that "72% Win Probability" is a powerhouse Data Science concept called Monte Carlo Simulations. Instead of one formula, the AI runs 10,000+ "virtu
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The million-dollar question: Core or IT? 🛠️ vs 💻 For years, the advice was "just learn Java and pivot to IT." But in 2026, the game has changed. 📉 IT: Massive packages still exist, but only for s
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What is the worst mistake you can make when evaluating data? 🛑📊 If you're diving into Data Science or ML, you will run into the Null Hypothesis and Type I & II Errors. Here is the ultimate cheat sh
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Woke up to the best kind of delivery today! 📦🚀 The late-night coding sessions, the data science projects, and the interview grind finally paid off. Unboxing my official welcome kit from Sigma and g
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Is the AI party almost over? 📉🤖 In 1999, Cisco was the king of the Dot-com bubble because everyone needed their routers to build the internet. Today, Nvidia holds the crown because everyone needs t
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How do you spot a single crazy outlier in a dataset of 10,000 numbers? 🕵️‍♂️📊 You definitely don't read them. You draw a Box Plot. The Box and Whisker plot is a data scientist's best friend. It in
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Did you know your favorite AI models are incredibly thirsty? 💧🤖 Running massive language models for coding or data analysis requires thousands of specialized GPUs. These chips run extremely hot, an
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Ever wondered how to measure the extremes in your datasets? 📉📈 Enter Kurtosis. It’s the measure of the "tailedness" of a data distribution. Whether you're cleaning data for a machine learning model
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Here are basic data questions, comment below the answer! 👇 Let's see who gets it right first. . . . #database #datascience #interview #techinterviews
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Instagram post by @decoding.py
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Instagram post by @decoding.py
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Why do we even need Standard Deviation? 🤔 (Save this for your next technical round!) When calculating how spread out your data is, Variance does a great job mathematically. But it has one fatal flaw
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About @decoding.py

Shubhanshu Shrivastava is a Instagram growing creator in the Science, Technology & Engineering category. With 71 followers and 12 posts, decoding.py's account shows a follower-to-following ratio of 17.8:1. View all content anonymously on Pictame - no login required.

decoding.py's engagement rate sits at 7.98%. That's 60% 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, 100% are videos and 0% are photos. New posts appear roughly every 3 days — a steady, reliable rhythm. Captions lean detailed, averaging 639 characters.

7.98% engagement rate — 60% above average for 1K-10K follower accounts.
New content every 3 days — a steady rhythm.
17.8:1 follower-to-following ratio.

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decoding.py
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@decoding.py

Shubhanshu Shrivastava

PublicScience, Technology & Engineering
Posts
12
Followers
71
Top Hashtags
#codeshubh#datascience#machinelearning#statistics#Codeshubh#technews#DataScience#ipl2026

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Popular Hashtags

#follow4follow#amor#interiordesign#illustration#home#tiktok#christmas#instapic#photoshoot#igers#artwork#catsofinstagram
Following
4
Avg. Likes
2
Avg. Comments
3
Engagement
7.04%

Decision scientist. Trying to share what I know about data sceince and other coding related topics.

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