Packt – Regression Modeling with Statistics and Machine Learning in Python

Packt – Regression Modeling with Statistics and Machine Learning in Python-ZH
English | Size: 804.01 MB
Category: Tutorial

Key Features
Minimal mathematical jargon. The course focuses on teaching you the most important Python data science concepts and packages, including Pandas
Implement clustering and classification models on data
Gain a thorough grounding in data science and understand which models should be used, and when. [Read more…]

Packt – Project-Based Python Programming For Kids and Beginners

Packt – Project-Based Python Programming For Kids and Beginners-ZH
English | Size: 661.33 MB
Category: CBTs

Key Features
Learn the basics of Python game programming
Develop intuitive and efficient Python GUIs
Create simple yet practical applications in Python [Read more…]

Udemy – Deep Learning – Recurrent Neural Networks in Python

Udemy – Deep Learning- Recurrent Neural Networks in Python
English | Size: 1.39 GB
Category: Programming | Networking

Deep Learning: Recurrent Neural Networks in Python
What you’ll learn
Understand the simple recurrent unit (Elman unit)
Understand the GRU (gated recurrent unit)
Understand the LSTM (long short-term memory unit)
Write various recurrent networks in Theano [Read more…]

Udemy – Data Science Deep Learning in Python

Udemy – Data Science: Deep Learning in Python
English | Size: 722.02 MB
Category: Tutorial

This course will get you started in building your FIRST artificial neural network using deep learning techniques. Following my previous course on logistic regression, we take this basic building block, and build full-on non-linear neural networks right out of the gate using Python and Numpy. All the materials for this course are FREE. [Read more…]

Udemy – Active Directory Automation Using Python

Udemy – Active Directory Automation Using Python
English | Size: 1.71 GB
Category: Programming | E-learning | others

What you’ll learn

AUTOMATION OF ACTIVE DIRECTORY TASKS USING PYTHON

Requirements

BASICS OF PYTHON

Description

In this video we have discussed the below:

what is active directory

Why active directory is important

why system administrator should learn automation

why it is important to use automation for active directory related tasks

which python library is required for this course

how to setup the connectivity using python

how to perform basic search on active directory using python

how to create reports on ad operations using python

What is pyad

how to install pyad

Who this course is for:

ANY LEVEL

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Linkedin Learning – Data Ingestion with Python

Linkedin Learning – Data Ingestion with Python-ZH
English | Size: 211.40 MB
Category: Tutorial

A sizable portion of a data scientist’s day is often spent fetching and cleaning the data they need to train their algorithms. In this course, learn how to use Python tools and techniques to get the relevant, high-quality data you need. Instructor Miki Tebeka covers reading files, including how to work with CSV, XML, and JSON files. He also discusses calling APIs, web scraping (and why it should be a last resort), and validating and cleaning data. Plus, discover how to establish and monitor key performance indicators (KPIs) that help you monitor your data pipeline. [Read more…]

Linkedin Learning – Efficient Python Production Workflows-ZH

Linkedin Learning – Efficient Python Production Workflows-ZH
English | Size: 415.90 MB
Category: Tutorial

Writing code can be easy, but maintaining a product is always a challenge. In this course, learn what it takes to efficiently manage your Python projects. Instructor Miki Tebeka delves into the ancillary tasks around Python programming, such as dependency management, development methodologies, metrics, logging, testing, and deployment. While these topics aren’t strictly related to coding, they’re essential to making sure your code is production ready. Learn how to tackle challenges related to dependency management, effectively approach testing, configure a logging system, design metrics, leverage different deployment strategies, and more. [Read more…]

Linkedin Learning – Managing Python Projects-ZH

Linkedin Learning – Managing Python Projects-ZH
English | Size: 129.39 MB
Category: Tutorial

While the work of coding can be a solitary endeavor, software developers don’t work in a vacuum. In order to successfully bring their projects to the finish line, they must spend their days coordinating effectively with other developers. In this course, join Miki Tebeka as he shares best practices and tips for efficiently managing Python projects. Miki covers the essential non-coding tasks around Python programming, including how to best approach the directory structure for a project, tackle challenges related to dependency management, and determine what (and how much) to test. Plus, get general strategies for handling the development process, including how to use source control and issue tracking systems effectively. [Read more…]

Linkedin Learning – Python for Marketing

Linkedin Learning – Python for Marketing-ZH
English | Size: 309.89 MB
Category: CBTs

Take your marketing analytics to the next level with Python. The features that make Python so useful for data scientists are the same ones that marketers can use to better understand their customers, product performance, competition, and marketplace. In this course from Madecraft, you can learn how to use Python to improve marketing at your business. Discover how to import and clean data from sources like Google Analytics and Facebook, merge data sets, create detailed visualizations, analyze time series data, and build custom metrics and alerts for your marketing activities. Instructor Nick Duddy shows how to combine these techniques-and helpful Python libraries like Pandas and Seaborn-to conduct market analysis, predict consumer behavior, assess the competition, monitor market trends, and more. [Read more…]

O’Reilly Hands-On Algorithmic Trading with Python-ELOHiM

O’Reilly Hands-On Algorithmic Trading with Python-ELOHiM
English | Size: 1.64 GB
Category: Developer

Artificial intelligence in general and specifically machine learning are becoming increasingly important tools for many industries and enterprises. But one business sector in particular has long since adopted and benefitted from these powerful computing paradigms: investment services. In fact, over the past decade, few other industries and sectors have experienced the frenetic pace of automation as that of the investment management industry, the direct result of algorithmic trading and machine learning technologies. Industry experts estimate that today as much as 70% of the daily trading volume in the United States equity markets is executed algorithmically-by computer programs following a set of predefined rules that span the entire trading process, from idea generation to execution and portfolio management. But although all algorithmic trading is executed by computers, the rules for generating trades are either designed by humans or discovered by machine learning algorithms from training data. Not surprisingly, the ability to create these algorithms, particularly using Python, is in high demand. [Read more…]