Machine Learning Viva and Interview Questions PDF: Interview Guide for Students and Professionals

Author - Satyendra Kr

Description

Master your Machine Learning viva and interview with this Questions and Answers PDF. Covers ML algorithms, model evaluation, overfitting, and real-world applications. Perfect for students, freshers, and professionals preparing for top MNC interviews like TCS, Wipro, and HCL. Machine Learning Basics: Types of ML (Supervised, Unsupervised, Reinforcement Learning), and applications. Algorithms: Linear and logistic regression. Decision trees, random forests, and SVM. Clustering (K-means, Hierarchical) and dimensionality reduction (PCA). Model Evaluation: Accuracy, precision, recall, F1-score, and ROC curves. Challenges: Overfitting, underfitting, and dealing with imbalanced datasets. Advanced Topics: Neural networks, deep learning basics, and transfer learning. Tools and Libraries: Scikit-learn, TensorFlow, and PyTorch.