
Machine Learning and Deep Learning Bootcamp in Python
2025-02-24
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
What you’ll learn
Solving regression problems (linear regression and logistic regression)
Solving classification problems (naive Bayes classifier, Support Vector Machines – SVMs)
Using neural networks (feedforward neural networks, deep neural networks, convolutional neural networks and recurrent neural networks
The most up to date machine learning techniques used by firms such as Google or Facebook
Face detection with OpenCV
TensorFlow and Keras
Deep learning – deep neural networks, convolutional neural networks (CNNS), recurrent neural networks (RNNs)
Reinforcement learning – Q learning and deep Q learning approaches
Transformers (ChatGPT)
Requirements
Basic Python – we will use Panda and Numpy as well (we will cover the basics during implementations)
Description
Who this course is for:
This course is meant for newbies who are not familiar with machine learning, deep learning, computer vision and reinforcement learning or students looking for a quick refresher
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