Resources

Getting Start with Machine learning
Getting Start with Machine learning
Subtopics:
PythonLineaer AlgebraCalculusProbability and StatisticsNumpy/Pandas/Matplotlib
Deep Learning
Deep Learning
Subtopics:
Basic ModelConvolutional Neural NetworksResNetUNet
Generative Adversarials Networks
Generative Adversarials Networks
Subtopics:
Introduction to GANsCycleGANSRGAN
Natural Language Processing
Natural Language Processing
Subtopics:
Preprocessing NotebooksSentiment Analysis (Supervised)Sentiment Analysis (Unsupervised)Basics of RNN , LSTM and GRU
Attention and Transformers
Attention and Transformers
Subtopics:
Transformers from scratch notebookSentiment Analysis with BERT
Large Language Models (LLMs)
Large Language Models (LLMs)
Subtopics:
Reinforcement Learning with Human FeedbackGPT from scratchPrompt EngineeringLangchain