class DhimanTarafdar:
def __init__(self):
self.name = "Dhiman Tarafdar"
self.degree = "B.Sc. Engineering in Computer Science & Engineering"
self.year = "3rd Year"
self.focus = ["Machine Learning", "Deep Learning", "Data Science"]
self.currently = "Diving into Deep Learning with PyTorch "
self.learning = ["Single & Multi Layer Perceptron", "MLP Math Intuition", "PyTorch"]
self.web_skills = ["HTML", "CSS", "Tailwind CSS", "JavaScript", "React", "Next.js", "MERN"]
self.dsa = "Practicing DSA (Striver's Sheet / Tech With Tim)"
self.goal = "Build impactful ML/DL projects & grow consistently"
self.consistency = "Every concept studied → pushed to GitHub "
def say_hi(self):
print("Thanks for visiting my profile! Let's build something amazing together.")
me = DhimanTarafdar()
me.say_hi()📖 Click to expand my full learning roadmap
| Stage | Topics Covered | Status |
|---|---|---|
| Python Foundations | NumPy, Pandas, Seaborn, Matplotlib | ✅ Done |
| Statistics & Math | Descriptive Stats, Probability, Distance Metrics | ✅ Done |
| Data Preprocessing | Scaling, Encoding, Feature Engineering, EDA | ✅ Done |
| Supervised Learning | Linear/Logistic/Polynomial Regression, SVM, KNN, Naive Bayes, MLP | ✅ Done |
| Ensemble Methods | Random Forest, AdaBoost, Gradient Boosting, XGBoost | ✅ Done |
| Unsupervised Learning | K-Means, DBSCAN, Hierarchical Clustering, PCA | ✅ Done |
| Deployment | Hugging Face Spaces + Gradio | ✅ Done |
| Competitions | Kaggle Competitions | ✅ Participated |
| Deep Learning | Perceptron, MLP, Math Intuition, PyTorch | 🔄 In Progress |
"Every concept I study, every line of practice code I write — I push it to GitHub. That rhythm is what keeps my streak alive and my progress steady." — Dhiman Tarafdar
⭐ If you find my work interesting, consider giving a star to my repositories!