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1. Analyze and parse HTML responses, programmatically scrape web data, and utilize Pandas DataFrames to store, transform, and merge tables.

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2. This course examines the Monte Carlo methods and its types and solves the frozen lake problem with Monte Carlo methods.

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3. We will visualize the results of hotspot analysis and use kernel density estimation, which is the most popular algorithm for building distributions using a collection of observations. By the end o…

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4. Generate and paraphrase text using different models for use in Python. Understand the applications and challenges of text summarization models.

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5. Perform geometric transformations, arithmetic operations, and image cropping using NumPy and OpenCV functions.

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6. This module will look at how to build different variants of DRQN including DARQN to solve the problem of Atari game

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