🎓 AI / Machine Learning Student
💻 Python | Data Science | ML | Deep Learning
📍 India

I'm an AI & Machine Learning student passionate about:

• Building data-driven solutions
• Understanding how models work internally
• Applying ML to real-world problems

Currently focused on strong fundamentals + practical projects.

• Python
• Java (DSA, recursion, problem solving)

• NumPy, Pandas
• Matplotlib, Seaborn
• Scikit-learn
• Data preprocessing & feature engineering
• Model evaluation (Accuracy, Precision, Recall, ROC-AUC)

• Linear & Logistic Regression
• Decision Trees, Random Forest
• KNN, SVM
• Naive Bayes

• Neural Networks
• TensorFlow / PyTorch (Basics)
• CNN (Intro)
• Backpropagation concepts

• Git & GitHub
• Jupyter Notebook
• VS Code
• Linux / Terminal basics

🔹 Pandas Practice

• Data cleaning & filtering
• Exploratory Data Analysis

🔹 Recursion & DSA (Java)

• Backtracking problems
• Logical problem solving

🔹 Machine Learning Notebooks

• End-to-end ML pipelines
• Dataset → Model → Evaluation

🔹 Upcoming

• ML mini-projects
• Deep Learning projects
• Open-source contributions

• ✅ Consistent contributions
• ✅ Clean, documented ML projects
• ✅ Participate in open source
• ✅ Prepare for internships & research

• GitHub: @Subhransu37

⭐ Always learning. Always building.