Develop-Packt
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Introduction-to-Monte-Carlo-Methods
Introduction-to-Monte-Carlo-Methods PublicThis course examines the Monte Carlo methods and its types and solves the frozen lake problem with Monte Carlo methods.
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Hotspot-Analysis
Hotspot-Analysis PublicWe 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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Web-Scraping-with-Jupyter-Notebooks
Web-Scraping-with-Jupyter-Notebooks PublicAnalyze and parse HTML responses, programmatically scrape web data, and utilize Pandas DataFrames to store, transform, and merge tables.
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Using-Text-Generators-and-Summarization-models
Using-Text-Generators-and-Summarization-models PublicGenerate and paraphrase text using different models for use in Python. Understand the applications and challenges of text summarization models.
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Playing-an-Atari-Game-with-Deep-Recurrent-Q-Networks
Playing-an-Atari-Game-with-Deep-Recurrent-Q-Networks PublicThis module will look at how to build different variants of DRQN including DARQN to solve the problem of Atari game
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Markov-Decision-Processes-and-Bellman-Equations
Markov-Decision-Processes-and-Bellman-Equations PublicThe module covers the theory behind reinforcement learning and introduces Markov chains and Markov Decision Processes
Repositories
- Machine-Learning-and-Developing-a-Text-Classifier Public
Understand how supervised and unsupervised machine learning methods can be used to construct and implement a text classifier in Python.
Develop-Packt/Machine-Learning-and-Developing-a-Text-Classifier’s past year of commit activity - Pre-Processing-Data-and-Feature-Extraction Public
Learn how to collect, clean and categorize data for your projects. Then extract the key textual features and present them visually.
Develop-Packt/Pre-Processing-Data-and-Feature-Extraction’s past year of commit activity - Understanding-Word-and-Document-Vectors Public
Understand what vectors are, and how they can be used to compare the frequencies of words and similar documents, and group them accordingly.
Develop-Packt/Understanding-Word-and-Document-Vectors’s past year of commit activity - Natural-Language-Processing-Fundamentals Public
Discover the basic tools and techniques required to preprocess data to use in an NLP project.
Develop-Packt/Natural-Language-Processing-Fundamentals’s past year of commit activity - Performing-Sentiment-Analysis-with-NLP Public
Explore the libraries and frameworks used to perform sentiment analysis on textual data.
Develop-Packt/Performing-Sentiment-Analysis-with-NLP’s past year of commit activity - Using-and-Comparing-Topic-Modeling-Algorithms Public
Learn about various Topic Modeling algorithms, and how to apply them to datasets. Compare the strengths of different algorithms with some practical challenges.
Develop-Packt/Using-and-Comparing-Topic-Modeling-Algorithms’s past year of commit activity - Using-Text-Generators-and-Summarization-models Public
Generate and paraphrase text using different models for use in Python. Understand the applications and challenges of text summarization models.
Develop-Packt/Using-Text-Generators-and-Summarization-models’s past year of commit activity - Extracting-and-Analyzing-Web-Data Public
Collect data by scraping web pages, then analyze your findings. Learn how to use APIs to retrieve real-time data from Twitter.
Develop-Packt/Extracting-and-Analyzing-Web-Data’s past year of commit activity - Deploying-Deep-Learning-Models-as-Web-Applications Public
This module covers handling new data and creating a model that can learn continuously from the patterns and help make better predictions.
Develop-Packt/Deploying-Deep-Learning-Models-as-Web-Applications’s past year of commit activity - Introduction-to-Neural-Networks-and-Deep-Learning Public
This module covers the basics components of a neural network and its essential operations. It also explores a trained neural network created using TensorFlow
Develop-Packt/Introduction-to-Neural-Networks-and-Deep-Learning’s past year of commit activity
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