Machine Learning & Deep Learning

This session gives you a complete understanding of ML & DL with clean explanations and real-world examples. You will learn:

Machine Learning:

✔ Linear/Logistic Regression

✔ Decision Trees, Random Forest

✔ SVM, Naive Bayes

✔ Clustering (K-Means)

✔ Model evaluation & tuning

Deep Learning:

✔ Neural Networks basics

✔ ANN, CNN fundamentals

✔ Image classification basics

✔ How deep models learn

✔ Keras/TensorFlow introduction

You will get practical coding support and help with real datasets, including how to preprocess data, train models, evaluate accuracy, and avoid mistakes like overfitting.