Description
This AI & ML with Python course will provide you with the knowledge and practical skills needed to implement machine learning and artificial intelligence algorithms. You’ll begin with an understanding of machine learning fundamentals, learning key concepts like supervised and unsupervised learning, regression, and classification.
The course covers popular Python libraries such as Scikit-learn, TensorFlow, and Keras, enabling you to build and train machine learning models. You will also learn to work with deep learning models, neural networks, and natural language processing (NLP). Topics like model evaluation, hyperparameter tuning, and data preprocessing will be covered in depth.
By the end of the course, you will be able to apply AI and ML techniques to real-world problems, from predictive analytics to intelligent systems, and gain hands-on experience creating, training, and deploying AI models using Python.
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