Vaibhav

AI & Data Science | Software Engineer | Open to internships/part-time/freelancing

[Vaibhav @codewiz_v]

🚀 Excited to connect with people interested in AI · Data Science!

I’m an MTech student in AI & DS, sharing my daily learnings + side-projects here.
Looking to collaborate, learn and grow.
🔍 Open to internship / part-time roles

📬 DMs open | Let’s build together!

#connection

[Vaibhav @codewiz_v]

@Praha37v Cool design. Loved it. ❤️
Is it for a customer or just for design portfolio?

[Vaibhav @codewiz_v]

@JobFound5 I am interested.
https://t.co/et485S7WkB

[Vaibhav @codewiz_v]

Hyperparameter tuning matters because:

Too deep → Overfitting 📉
Too shallow → Underfitting 📈
Good tuning helps Random Forest balance bias vs variance and improve real-world performance.

#DataScience #MachineLearning #AI #Hyperparameters #Tuning

[Vaibhav @codewiz_v]

Learning Random Forest 🌲

One of the most powerful and widely used ML algorithms for classification and prediction tasks.

Here’s a quick breakdown of how it works and the key hyperparameters that affect performance 👇

#MachineLearning #AI

[Vaibhav @codewiz_v]

Important hyperparameters ⚙️

🔹n_estimators → Number of trees
🔹max_depth → Tree depth
🔹min_samples_split → Min samples to split
🔹min_samples_leaf → Min samples in leaf
🔹max_features → Features considered per split

Good tuning helps balance underfitting vs overfitting.

[Vaibhav @codewiz_v]

@adahstwt Telegram

[Vaibhav @codewiz_v]

@MarkRakovic Seems interesting!!
Could you share demo images/videos?

[Vaibhav @codewiz_v]

🎯Completed Credit Default Risk Prediction project with SHAP

Now model predicts default risk and states which features influenced predictions most.

🔹Training, Evaluation, Deployment 🚀
🔹SHAP Explainability ✅

#MachineLearning #DataScience #AI #buildinpublic

[Vaibhav @codewiz_v]

@chuachonghuan Indeed. Will add SHAP and post the update in few days.

[Vaibhav @codewiz_v]

Built Credit Default Risk Prediction project to improve my ML understanding.

Deployed on Render 🚀
🔗 https://t.co/j9SpM1ML8m
[It takes 60 secs to work after 1st API hit]

Next step: SHAP-based explainability for better interpretation 🚀
#buildinpublic #AI #ML #RandomForest

[Vaibhav @codewiz_v]

Deployed my Credit Default Risk Prediction project on Render 🚀
🔗 https://t.co/j9SpM1ML8m
[It takes 60 secs to work after 1st API hit]

Next step: adding SHAP-based explainability for better model transparency and prediction interpretation 🚀
#MachineLearning #AI #BuildInPublic

[Vaibhav @codewiz_v]

Built this Credit Default Risk Prediction (Germain Credit Dataset) project to improve my ML understanding 🚀

🔹Writing code myself
🔹Understanding the ML pipeline deeply
🔹Testing multiple models

Sometimes simple projects teach the most.
#MachineLearning #DataScience #AI

[Vaibhav @codewiz_v]

@PratikSinhatwt hi 👋

[Vaibhav @codewiz_v]

Project Update 📈

Tested:
🔹Logistic Regression
🔹Random Forest
🔹XGBoost
Random Forest currently performs best with a strong precision-recall balance and minimal overfitting for credit risk prediction 🚀
#MachineLearning #DataScience #AI

[Vaibhav @codewiz_v]

Building a Credit Default Risk Prediction project 🚀
Not a groundbreaking idea.
Goals are simple:
🔹Write more code myself
🔹Use ChatGPT less
🔹Understand ML deeply
🔹Deploy an end-to-end project
🔹Improve my resume

Basic projects teach a lot 📈
#MachineLearning #DataScience #AI

[Vaibhav @codewiz_v]

@Saanvi_dhillon

[Vaibhav @codewiz_v]

Building a Credit Default Risk Prediction project 🚀
Not a groundbreaking idea.
Goals are simple:
🔹Write more code myself
🔹Use ChatGPT less
🔹Understand ML deeply
🔹Deploy an end-to-end project
🔹Improve my resume

Basic projects teach a lot 📈
#MachineLearning #DataScience #AI

[Vaibhav @codewiz_v]

@trikcode Hi

[Vaibhav @codewiz_v]

@travilabs @psomkar1 Same thought!!

[Vaibhav @codewiz_v]

@ValoisVelvia @psomkar1 I would say, code from ChatGPT requires more prompts for perfection as compared to Claude. But yes, Claude's free usage is limited.