Practical Machine Learning in Telugu

Dive into the HCL GUVI Practical Machine Learning course in Telugu, which helps learners gain hands-on experience in machine learning using Python, with concepts explained clearly in Telugu for better understanding. You’ll begin by refreshing core machine learning fundamentals, including types of learning, linear and logistic regression, and the machine learning project lifecycle. You will then explore model training processes, gradient descent, loss functions, and performance evaluation techniques through practical implementations. As you progress, the course covers common training challenges such as bias-variance tradeoff, regularization, cross-validation, and data augmentation. You will also work with exploratory data analysis, feature engineering, dimensionality reduction, and popular algorithms like KNN. By the end, you’ll be able to confidently build, evaluate, and optimize real-world machine learning models.