[2023] Machine Learning and Deep Learning Bootcamp in Python

• 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 

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