Master Machine Learning with TensorFlow: Basics to Advanced
By the end of this course, learners will be able to build, train, and evaluate machine learning and deep learning models using Python, Scikit-learn, and TensorFlow. They will confidently preprocess datasets, apply classical algorithms, visualize insights, and design neural networks to solve real-world problems.
This hands-on program takes students from zero to hero, beginning with the foundations of machine learning and progressing through data wrangling, visualization, preprocessing, and model building. Learners gain practical skills by working with industry-standard tools like Jupyter, Anac…
Watch on Coursera ↗
(saves to browser)
DeepCamp AI