Python

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Get started with learning python with exercises and notebooks preloaded in your instance. It includes comprehensive notebooks for learning everything necessary to start building AI models using python.

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Machine Learning

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This pack is made to give you hands-on experience with learning and building machine learning algorithms in python. You will find regression, classification, clustering, real world projects and more in this pack.

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Deep Learning

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This pack gives you an entry into the world of deep learning with keras and tensorflow. You will learn about neural networks, image classification, text classification, text generation and much more in this pack.

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Deep NLP

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NLP deals with the application of machine learning techniques for understanding and analyzing natural text. This pack gives you a deep dive on the modern NLP techniques like text processing, transformers, dependency parsing, topic modelling, TF-IDF, etc.

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Reinforcement Learning

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Reinforcement learning (RL) is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward. This pack gives you a deep dive on the latest RL techniques with deep learning.

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Deep Computer Vision

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Computer Vision is key to many algorithms today, from google photos to self driving cars. This pack contains projects on Computer Vision with Deep Learning to analyse and infer from visual data. You will get hands-on experience with image recognition, segmentation, etc.

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Unsupervised Learning

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Unsupervised leanrning algorithms helps to discover hidden patterns or data groupings without the need of human intervention. This pack includes unsupervised techniques like Dimensionality Reduction, Advance Clustering, Autoencoders, etc.

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Graph Neural Networks

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Graph Neural Networks operates on data structured as graphs. GNNs have gained increasing popularity in various domains like social network, knowledge graph, recommender system. This pack will give you hands-on experience with Graph Conv networks, Graph Attention Networks, etc.

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