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Ankit-Kumar-Saini

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Programming assignments covering fundamentals of machine learning and deep learning. These were completed as part of the Plaksha Tech Leaders Fellowship program.

Coursera_Deep_Learning_Specialization

Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.

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Coursera_TensorFlow_Advanced_Techniques_Specialization

Used the Functional API to built custom layers and non-sequential model types in TensorFlow, performed object detection, image segmentation, and interpretation of convolutions. Used generative deep learning including Auto Encoding, VAEs, and GANs to create new content.

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Coursera_Natural_Language_Processing_Specialization

Implementation of state-of-the-art NLP models using transformers for tasks including machine translation, text-summarization, chatbots, and question answering.

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Dog_Breed_Classifier

End-to-end deep learning pipeline to classify images of dogs and humans to determine what breed the human or dog most resembles

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Applications-of-Data-Science

Programming assignments to demonstrate the Applications of Data Science. These were completed as part of the Plaksha Tech Leaders Fellowship program.

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Disaster-Response-NLP-Pipeline

End-to-end machine learning pipeline to classify disaster messages into 36 categories and a web app to deploy the trained model.

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Ankit-Kumar-Saini/Machine-Learning-Lab-Plaksha

Ankit-Kumar-Saini

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