Udemy – Machine Learning & Deep Learning Masterclass in One Semester 2025-2

Apr 18, 2025 - 19:32

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Machine Learning & Deep Learning Masterclass in One Semester is a course on machine learning and deep learning concepts published by Udemy Online Academy. It covers essential topics such as supervised and unsupervised learning, feature engineering, model evaluation, and metaparameter tuning. Learners will work with popular libraries such as Scikit-learn, TensorFlow, and PyTorch to build models for classification, regression, clustering, and reinforcement learning. The Deep Learning section covers neural networks, CNNs, RNNs, transformers, and generative models.

This course is recommended for students of machine learning and deep learning courses, beginners who want to learn machine learning and deep learning from scratch, AI researchers, students, and researchers who want to develop Python programming skills to solve machine learning and deep learning tasks, and those who know MATLAB and other programming languages and want to switch to Python for machine learning and deep learning. Practical projects, real-world datasets, and industry applications help reinforce concepts and prepare students for AI-based careers by the end of the semester.

What you will learn in Machine Learning & Deep Learning Masterclass in One Semester:

Convolutional Neural Networks
Transfer Learning
Recurrent Neural Networks and LSTM
Time Series Forecasting and Classification
Autoencoders
Generative Adversarial Networks (GAN)
Python from Scratch
Numpy, Matplotlib, Seaborn, Pandas, Pytorch, Scikit-learn and other Python libraries
And…

Course specifications

Publisher: Udemy
Instructors: Zeeshan Ahmad
Language: English
Level: Introductory to Advanced
Number of Lessons: 307
Duration: 46 hours and 49 minutes