Advanced AI Practicals:-
Practical 1 Implementing advanced deep learning algorithms such as convolutional neural networks (CNNs) or recurrent neural networks (RNNs) using Python libraries like TensorFlow or PyTorch. :-
https://colab.research.google.com/dri...
Practical 2 Building a natural language processing (NLP) model for sentiment analysis or text classification.:-
https://colab.research.google.com/dri...
Practical 3 Creating a chatbot using advanced techniques like transformer models.:-https://colab.research.google.com/dri...
Practical 4 Developing a recommendation system using collaborative filtering or deep learning approaches.:-
https://colab.research.google.com/dri...
Practical 5 Implementing a computer vision project, such as object detection or image segmentation. :-https://colab.research.google.com/dri...
Practical 6 Training a generative adversarial network (GAN) for generating realistic images. :-
https://colab.research.google.com/dri...
Practical 7 Applying reinforcement learning algorithms to solve complex decision-making problems. :-
https://colab.research.google.com/dri...
Practical 8 Utilizing transfer learning to improve model performance on limited datasets. :-
https://colab.research.google.com/dri...
Practical 9 Building a deep learning model for time series forecasting or anomaly detection.:-https://colab.research.google.com/dri...
Practical 10 Implementing a machine learning pipeline for automated feature engineering and model selection. :-https://colab.research.google.com/dri...
In this video I have covered the basic information about the C Programming language.
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