Results for "sklearn"
7 / 7 posts
Filter by Category
Categorical Data Handling in Machine Learning (Pandas + Sklearn) – Complete Practical Guide
..., One-Hot, Target, Binary, Frequency encoding with Pandas & Sklearn. Beginner to advanced.
Logistic Regression — The Superhero of Classification | ML Series Part 3
Logistic Regression explained completely — sigmoid function, evaluation metrics, class imbalance, threshold tuning, and real-world projects in Python. Beginn...
Scikit-learn Complete Guide: Beginner To Advanced
Scikit-learn ka complete guide — installation se deployment tak. Classification, regression, clustering, pipelines, hyperparameter tuning sab kuch Hindi-Engl...
Linear Regression — A Complete Deep Dive | ML Series Part 2
Linear Regression explained from scratch — math, types, implementation, evaluation metrics, regularization, and real-world projects in Python. Beginner to ad...
Advanced Pandas: Performance, Time Series, ML Pipelines & Interview Questions (Part 3)
Master advanced Pandas — MultiIndex, time series resampling, rolling windows, memory optimization, Pandas 2.x features, ML pipelines, and 30+ interview Q&A.
Pure Python Data Science — Building a Social Network from Scratch
Learn how to load, clean, and analyze social network data using only pure Python. Build People You May Know & Pages You Might Like features from scratch.
The Complete NumPy Guide — Part 3: Advanced Patterns, Real-World Pipelines & Complete Interview Guide
Master NumPy's advanced internals — memory optimization, vectorization, Numba JIT, real-world data science pipelines, and the ultimate NumPy interview questi...