Nat Dunn
A free Django course with videos based on the Django Software Foundations official tutorial.
- Learn to install the latest version of Django in a virtual environment.
- Create your first single-app Django project.
- Learn to use models to create and modify the database for your app.
- Learn to work with your app via the API at the interactive shell.
- Learn to create views and configure URLs.
- Learn to create and process forms.
- Learn how to quickly created list and detail views using Django's class-based views and templating system.
- Learn to write automated tests to prevent errors down the road.
- Learn to add static content (e.g., images and CSS) to your website.
- Discover the awesomeness of Django admin - Django's built-in admin site.
Regression Modeling with Statistics and Machine Learning in Python [Video]
Minerva Singh
9781839215346 Packt Course Length: 6 hours 8 minutes (31 Dec 2019)
Video Overview:
This course is your one-shot guide to statistical and machine learning analysis. This course will teach you regression analysis (for both statistical data analysis and machine learning) in Python—all in a practical, hands-on way.
Specifically, the course will:
• Take you from a basic level of statistical knowledge to a level where you can perform some of the most common advanced regression analysis-based techniques
• Equip you to use Python to perform various statistical and machine learning data analysis tasks
• Introduce you in a hands-on way to some of the most important statistical and machine learning concepts, so you can apply them to practical data analysis and interpretation
You will get a strong background in some of the most important statistical and machine learning concepts and their applications in regression analysis. You will be able to decide which regression analysis techniques are best suited for answering your research questions and most applicable to your data; then you'll interpret the results.
This is a practical, hands-on course—we spend time dealing with some theoretical concepts related to both statistical and machine learning regression analysis.
All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Regression-Modeling-With-Statistics-and-Machine-Learning-in-Python
Project-Based Python Programming For Kids and Beginners [Video]
Minerva Singh
9781800204782 Packt Course Length: 5 hours 0 minutes (31 Dec 2019)
Video Overview:
Coding for beginners and kids is now made exciting and easy. Learn to code fun games, graphics and graphical user interfaces (GUIs) in Python, one of the most powerful programming languages known for its speed, flexibility, and ease-of-use. The Python coding language integrates well with other platforms and runs on almost all modern devices. This OSI-approved open-source language allows free use and distribution (including commercial distribution).
This course helps you delve into the graphics and UX (user experience) aspects of Python. You’ll get up to speed with this computer language in a hands-on manner by drawing shapes, coding a simple game, and designing GUIs (graphical user interfaces), including a functional GUI for a temperature converter app. The course will also guide you through analyzing scientific and statistical data. As you advance, you’ll get to grips with developing educational software. In addition to this, you’ll gain comprehensive insights into accessing and organizing databases, along with understanding how to manage networks.
By the end of this course, you will be well-versed with using not only Python 2 but Python 3 as well for designing immersive games and developing interactive applications and websites.
All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Project-Based-Python-Programming-For-Kids-and-Beginners
PyTorch Bootcamp for Artificial Neural Networks and Deep Learning Applications
Minerva Singh
ISBN 13: 9781839218897 Packt Course Length: 3 hours 15 minutes (Dec 2019)
Video Overview:
Hands-on PyTorch boot camp for Artificial Intelligence applications with artificial neural networks and deep learning
Master the latest and hottest deep learning frameworks (PyTorch) for Python data science
This course is your complete guide to practical machine learning and deep learning using the PyTorch framework in Python and covers the important aspects of PyTorch. If you take this course, you'll have no need to take other courses or buy books on PyTorch.
In this age of big data, companies across the Globe use Python to sift through the avalanche of information at their disposal; the advent of frameworks such as PyTorch is revolutionizing deep learning.
By gaining proficiency in PyTorch, you can give your company a competitive edge and take your career to the next level.