🚀 Completed my Machine Learning course and deepening my practice with Aurélien Géron's book 📚. Also built a React portfolio website last week ⚛️ to refresh frontend skills and showcase projects.

#MachineLearning #React #WebDevelopment #ContinuousLearning

Portfolio: nishant-kumar-pearl.vercel.app

🌟 Exciting News! 🌟

I've just launched my portfolio site featuring my latest projects and skills! 🚀 Check it out and share your thoughts! 👀

👉 nishant-kumar-pearl.vercel.app

#Portfolio #WebDesign #Career #Tech #Achievement

📊 From PCA & LDA to XGBoost & NLP – I’m diving deep into advanced ML!
✅ Dimensionality Reduction
✅ GridSearchCV + k-Fold
✅ Sentiment Analysis
✅ XGBoost Mastery
Projects: github.com/nishant-kuma...
#MachineLearning #DataScience #AI #XGBoost #NLP #Python

Built 3 cool #MachineLearning projects!
🧠 KNN for purchase prediction
📌 K-Means for customer segmentation
🛍️ Apriori/Eclat for market basket insights

Explore the code:
github.com/nishant-kuma...
#Python #DataScience #AI #ML

Seeing the difference between a single Decision Tree and a Random Forest in action for salary prediction! 🌲🌳
DTs can be prone to overfitting the training data. Random Forests, by building multiple trees (n_estimators=10), create more robust and generalizable predictions.#MachineLearning #Python #AI

Just navigated the world of Support Vector Regression (SVR)! 🚀 Tackled the 'Position_Salaries' challenge, predicting pay from job levels.
Key takeaways:
✅ Feature Scaling is a MUST for SVR.
✅ RBF kernel for those non-linear vibes.
#AI journey. #MachineLearning #SVR #DataScience #Python

Making strides in my Machine Learning journey! 🤖 Recently tackled: Data Preprocessing and Regression Models: Linear , Multiple , Polynomial. All my Colab notebooks are on GitHub! 👇 github.com/nishant-kuma... Excited to keep learning! #ML #DataScience #Python #Regression #Tech