Last updated 2/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 16.94 GB | Duration: 46h 49m
Practical Oriented Explanations by solving more than 80 projects with NumPy, Scikit-learn, Pandas, Matplotlib, PyTorch.
What you'll learn
Theory, Maths and Implementation of machine learning and deep learning algorithms.
Classification Models used in classical Machine Learning such as Logistic Regression, KNN, Support Vector Machines, Decision Trees, and Random Forest
Build Artificial Neural Networks and use them for Regression and Classification Problems
Using GPU with Neural Networks and Deep Learning Models.
Convolutional Neural Networks
Transfer Learning
Recurrent Neural Networks and LSTM
Time series...