Machine Learning and Deep Learning using Python focuses on building intelligent systems using data-driven algorithms and neural network models with Python programming. It enables learners to develop predictive analytics, automation, and AI-driven applications across multiple industries. This training explains core machine learning concepts such as supervised learning, unsupervised learning, regression, classification, and clustering. It also covers deep learning architectures including neural networks, CNNs, RNNs, LSTMs, and transformer models. Additionally, the course includes Python libraries such as scikit-learn, TensorFlow, Keras, and PyTorch for model development and deployment. You will learn how organizations use these technologies for computer vision, NLP, recommendation systems, and predictive modeling. The course also highlights best practices for building scalable, accurate, and production-ready AI solutions.
Showing the single result
