Pinned Repositories
Advanced-Web-Scraping-and-Data-Gathering
Decode responses and extract text from the Request and BeautifulSoup libraries, read and scrape data from XML files, and implement regular expressions to practice advanced web scraping on APIs.
Aggregate-and-Window-Functions
This module enables you summarize and identify the quality of the data using concepts such as aggregation and window functions.
An-Introduction-to-Data-Visualization-and-Data-Exploration-with-Python
Learn the fundamental concepts of data wrangling and statistics, and understand how they relate to data visualization.
Hotspot-Analysis
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 of the course, you should be able to leverage Python libraries to build multi-dimensional density estimation models and work with geo-spatial data.
Introduction-to-Monte-Carlo-Methods
This course examines the Monte Carlo methods and its types and solves the frozen lake problem with Monte Carlo methods.
Introduction-to-Temporal-Difference-Learning
This module introduces temporal-difference learning and focuses on how it develops over the ideas of both Monte Carlo methods, and dynamic programming.
Markov-Decision-Processes-and-Bellman-Equations
The module covers the theory behind reinforcement learning and introduces Markov chains and Markov Decision Processes
Playing-an-Atari-Game-with-Deep-Recurrent-Q-Networks
This module will look at how to build different variants of DRQN including DARQN to solve the problem of Atari game
Using-Text-Generators-and-Summarization-models
Generate and paraphrase text using different models for use in Python. Understand the applications and challenges of text summarization models.
Web-Scraping-with-Jupyter-Notebooks
Analyze and parse HTML responses, programmatically scrape web data, and utilize Pandas DataFrames to store, transform, and merge tables.
Develop-Packt's Repositories
Develop-Packt/An-Introduction-to-Data-Visualization-and-Data-Exploration-with-Python
Learn the fundamental concepts of data wrangling and statistics, and understand how they relate to data visualization.
Develop-Packt/Creating-Plots-with-Matplotlib
Discover how to use Matplotlib to create visualizations using the built-in plots that are provided by the library. Customize your visualizations and write mathematical expressions using TeX.
Develop-Packt/Creating-Ensemble-Models-with-Python
Recognize underfitting and overfitting, implement bagging and boosting, and build a stacked ensemble model using a number of classifiers.
Develop-Packt/Cross-Validation-and-Keras-Wrappers
Study the form and function of two major cross-validation methods, build a scikit learn interface, and use cross-validation to perform image classification and selection on example datasets
Develop-Packt/Evaluating-Supervised-Learning-Models-with-Python
Measure model performance using various metrics. Use sampling and hyperparameter tuning to improve models, and calculate feature importance for model evaluation.
Develop-Packt/Exploring-and-Visualizing-Data-with-Python
Perform exploratory data analysis to visualize the distribution of values in a dataset, analyze relationships using correlation, and locate and fix data problems including missing values.
Develop-Packt/Introduction-to-Supervised-Learning-with-Python
Discover the key concepts of supervised learning and learn to load, manipulate and describe data with key Python packages.
Develop-Packt/Performing-Linear-Regression-with-Python
Implement gradient descent in linear regression problems, construct and evaluate simple linear models, and use feature engineering to create more complex supervised machine learning models.
Develop-Packt/Plotting-Geospatial-Data
Utilize Geoplotlib to create stunning geographical visualizations, identify the different types of geospatial charts, and create complex visualizations using tile providers and custom layers.
Develop-Packt/Simplifying-Visualizations-Using-Seaborn
Learn how to create visually appealing and insightful plots efficiently using Seaborn.