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Data Science

Department of Data Science

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Laboratories

MACHINE LEARNING LAB

The Machine Learning Lab is a state-of-the-art facility designed to provide hands-on experience and foster innovation in the field of machine learning (ML). It serves as a hub for students, researchers, and educators to explore, experiment, and develop intelligent systems and algorithms that learn from data. This lab equips learners with practical skills to tackle real-world challenges in various domains such as healthcare, finance, transportation, and artificial intelligence.

MACHINE LEARNING LAB

The following areas include experiential learning

1.  Machine Learning for Data Science

Practical implementation of machine learning algorithms, including supervised and unsupervised learning, with applications in data science using Python libraries like Scikit-learn and TensorFlow.

2. Generative AI

Hands-on sessions on creating generative models such as GANs and applications in text, image, and video generation using tools like PyTorch and OpenAI frameworks.

3. Deep Learning

Training in building and optimizing neural networks, exploring architectures like CNNs, RNNs, and Transformers, using platforms like TensorFlow and Keras.

4. Natural Language Processing (NLP)

Practical exercises on processing and analyzing textual data, building language models, and implementing NLP applications like chatbots and sentiment analysis.

5. Computer Vision and Its Applications

Hands-on projects involving image processing, object detection, and recognition using OpenCV, YOLO, and other advanced vision technologies.

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