Sin

Data Scientist | Machine Learning | Data Analysis | Python | SQL | EDA | FastAPI | Developer @ SignatureKashmir

[Sin @moh_sin_05]

I recently completed a project on Regression Diagnostics using Python, where I explored different statistical techniques to evaluate the reliability, assumptions, and limitations of an OLS regression model.

GitHub Repository: https://t.co/LrTnr9JWJg

[Sin @moh_sin_05]

@GithubProjects https://t.co/945Q6VBPu2

[Sin @moh_sin_05]

Built a Car Price Prediction project using Python and Machine Learning.

Worked on EDA, preprocessing, feature selection, multicollinearity, and multiple regression models.

GitHub: https://t.co/910QrUrp6X

#Python #MachineLearning #DataScience

[Sin @moh_sin_05]

@GithubProjects https://t.co/945Q6VBhEu

[Sin @moh_sin_05]

🏠📊 Completed my House Price EDA project!

Explored patterns, relationships, missing values, outliers, transformations, and ML-ready preprocessing.

🔗 GitHub: https://t.co/9q5uO3pNFM

#DataScience #EDA #MachineLearning #Python

[Sin @moh_sin_05]

Day 5/100 🚀
Another LeetCode problem solved ✅
Today’s win: Find the Duplicate Number 🧠
Learning, debugging, and getting better one problem at a time.
5 days down. Consistency > motivation. 🔥
#Day5 #LeetCode #DSA #Java #100DaysOfCode #CodingJourney

[Sin @moh_sin_05]

🚀 Built an Insurance Premium Prediction API with ML + FastAPI.

It predicts a user's premium category from age, BMI, income, smoking status, city & occupation.

Would love your feedback! What would you improve? 👇

🔗 https://t.co/xte8TK01Zh

#ML #FastAPI #Python #AI

[Sin @moh_sin_05]

🚀 Just deployed my Olympics Analysis Web App!

Built with Python, Pandas & Streamlit to explore and analyze Olympic Games data.

🔗 Live Demo: https://t.co/B6yoHgfePH

Would love to hear your feedback and reviews! 🙌

#Python #Streamlit #DataAnalysis #DataScience

[Sin @moh_sin_05]

Olympics Analysis Web App

Just completed my Olympics Analysis using Python, Pandas, Plotly, Seaborn & Streamlit.

Explored:
Medal tallies
Country-wise performance
Athlete analysis
Events, sports & nations over time...

🔗 GitHub: https://t.co/i37yq2iY0o

[Sin @moh_sin_05]

Really interesting benchmark. Discovery feels like a different kind of intelligence — figuring things out when you don’t know what you’re looking for yet.

The fact that simple problems can still stump frontier models makes this especially interesting.

[James Whittington @jcrwhittington]

We’re excited to announce DiG-bench, a new benchmark for discovery!

Over the last few weeks we’ve been testing frontier AI models on our novel discovery games and seeing how they score. Each game is a text-based environment, so they probe discovery capabilities in the natural domain of language models, rather than requiring additional, potentially confounding, visual understanding.

TL;DR frontier models have improved a lot over the last few months. But they are still stumped by some surprisingly simple problems, even in their native text domain.

With

@cocosci_lab (@Princeton) @MITCoCoSci (@MIT) @SchmidhuberAI (@KAUST_News) @misovalko (@Inria) @tri_dao (@PrincetonCS) @RMBattleday @zebkDotCom @FraserGreenlee @akaijsa @ClareMaguire @TimMuller1 @kubicek_ales @physicscat0x7d @SukritSumant @thoughtchannel_

(1/5)

[Sin @moh_sin_05]

🚀 Join the E-Cell IIT Bombay Campus Ambassador Program and explore entrepreneurship, leadership, and networking opportunities!

🔗 https://t.co/rIVrKI1Lna⁠�
🎟️ Referral Code: CA2648IMB

[Sin @moh_sin_05]

🚀 Join the E-Cell IIT Bombay Campus Ambassador Program and explore entrepreneurship, leadership, and networking opportunities!

🔗 https://t.co/rIVrKI1Lna⁠�
🎟️ Referral Code: CA2648IMB

#ECellIITBombay #CampusAmbassador #Entrepreneurship #StudentOpportunities

[Sin @moh_sin_05]

Built a Machine Learning project using the Titanic dataset.

📊 Cleaned and prepared the data
🔍 Explored passenger trends
🤖 Trained a survival prediction model

💡 Key takeaway: Better data often beats a better algorithm.
Dataset: https://t.co/0oxVwRxg4y⁠�

[Sin @moh_sin_05]

🔖 A huge open-source course on AI Engineering from scratch

In the repository, we've collected:
— 435 lessons;
— 320+ hours of content;
— Python, TypeScript, and Rust;
— AI agents, MCP servers, prompts, and AI skills.

⛓️ Link to the repository
https://t.co/xfJkWcxjVo

[Sin @moh_sin_05]

@PratikSinhatwt https://t.co/X6knc0Q8jz

[Sin @moh_sin_05]

Feeling lost in your tech learning journey? 🤔

https://t.co/dcL0EVrwZQ shows you exactly what to learn and in what order.

Frontend • Backend • DevOps • AI • Cybersecurity • Data Engineering

🚀 Start building skills with confidence.

#LearnToCode #Developer

[Sin @moh_sin_05]

🚀 Built a House Price Prediction API using FastAPI, NumPy, and Scikit-Learn.

✅ Train a Linear Regression model
✅ Predict house prices via REST API
✅ JSON request/response handling
✅ Pydantic validation
✅ Swagger API docs

GitHub: https://t.co/rZsp9ZcSLY

[Sin @moh_sin_05]

@GithubProjects https://t.co/X6knc0Q8jz

[Sin @moh_sin_05]

Built a simple 📊 Mini Data Analysis Tool using Python + NumPy.

Learned:
• CSV handling
• NumPy arrays
• Sales analytics
• Trend analysis

Repo 👇
"https://t.co/1OgBBo2Gih" (https://reference-url-citation.invalid/0)

#Python #NumPy #Coding

[Sin @moh_sin_05]

One of the best books to learn practical deep learning with Python 👇

Neural networks, computer vision, NLP, TensorFlow/Keras — explained in a beginner-friendly way.

📘 https://t.co/zML9kVr4YC