Ashit Vijay @anonymousx_

Joined October 2023

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Ashit Vijay @anonymousx_

4 months ago

🔥 Day 9 of my #30DayMLChallenge Built a Sentiment Analysis model using a custom PyTorch pipeline on the IMDB 50K dataset 🎬 ✔️ Tokenization & Padding ✔️ Custom Dataset + Dataloader ✔️ LSTM-based sentiment classifier #DeepLearning #NLP #MachineLearning github.com/darkmoon564/se…

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Ashit Vijay @anonymousx_

4 months ago

📅 Day 8 of #30DaysOfML 🧠 Learned Transfer Learning with #ResNet 🫁 Trained a pneumonia detection model using X-ray images 📉 Used pretrained weights for faster, better learning 🔥 Transfer learning is a superpower! #MachineLearning #AI #PyTorch github.com/darkmoon564/re…

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Ashit Vijay @anonymousx_

4 months ago

📅 Day 7 of #30DaysOfML Today was all about 🔍 SVMs! ✅ Trained SVM on the Titanic dataset 🎯 Tested different kernels & tuned C and gamma 📈 Evaluated using precision & recall SVMs are 🔥 for small, high-dimensional datasets! #MachineLearning #SVM #MLChallenge

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Ashit Vijay @anonymousx_

4 months ago

📅 Day 6 of my 30-Day ML Challenge Today was all about Feature Engineering & Selection 🔧 Engineered titles & age bins from raw data 🧠 Used SelectKBest to reduce dimensionality 🎯 Result: better accuracy + cleaner model! #ML #FeatureEngineering #DataScience #30DaysOfML #Python

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Ashit Vijay @anonymousx_

4 months ago

Day 5 of my 30-Day ML Challenge 🚀 I dove into model explainability using SHAP 🧠 It’s powerful to visualize why a model makes a decision. This is where ML meets transparency. github.com/darkmoon564/ti… #MachineLearning #ExplainableAI #SHAP #DataScience

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Ashit Vijay @anonymousx_

4 months ago

🚀 Day 4 of my 30-Day ML Challenge Tuned my model using GridSearchCV on a Loan Prediction dataset Faced and fixed issues like NaNs in target & log1p errors 🧠 Improved accuracy and understood hyperparameter tuning 🔧 #MachineLearning #100DaysOfCode #ML github.com/darkmoon564/ra…

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Pranav Mehta @i_pranavmehta

4 months ago

ESCALATE!

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Ashit Vijay @anonymousx_

4 months ago

Day 3 of 30 – ML Challenge Built a Random Forest pipeline for loan prediction ✅ Boosted accuracy vs Decision Tree ✅ Feature engineered Debt Ratio + Total Income ✅ Feature importance plotted Repo live! Github:github.com/darkmoon564/ra… #ML30 #MachineLearning #DataScience #AI

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Ashit Vijay @anonymousx_

4 months ago

🚀 Day 2 of 30 – ML Challenge Built a Decision Tree pipeline to predict loan defaults 🛠️ Feature engineered: Total Income, Debt Ratio, Log LoanAmount 📊 Accuracy improved with preprocessing 📂 Project live on GitHub! github.com/darkmoon564/lo… #ML30 #MachineLearning #AI #Python

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Ashit Vijay @anonymousx_

4 months ago

🚀 Day 1 of 30 – ML Challenge ✅ Built an end-to-end pipeline on Titanic dataset using sklearn 🛠️ Used pipelines, transformers, and logistic regression 📦 Deployed model + shared on GitHub Link - github.com/darkmoon564/ti… #ML30 #MachineLearning #MLproject #AI #python