Free Download Modern Data Wrangling With Ai And Python – Beginner To Pro
Published 10/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.77 GB | Duration: 3h 54m
Learn how to streamline your data processing and analysis with the power of AI and Python. From beginner to pro.

In this course, gain a deep understanding of how the Data-Time Library works & learn to manage the essential classes from the API. Upon completing this course, you will be able to handle, parse, and format dates.
Mattia Ferigutti | Duration: 0:43 h | Video: H264 1920x1080 | No Audio | 179 MB | Language: English
Who is this for?
Android developers who want to uderstand how to handle dates and time inside their apps. It expects you to be familiar with Kotlin and Android Studio.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 30 lectures (5h 13m) | Size: 1.51 GB
Become expert and work smartly with pandas data wrangling and scikit-learn feature engineering tools

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 2h 51m | Size: 513.5 MB
The tidy format provides a standardized way of organizing data values within a dataset. By leveraging tidy data principles, statisticians, analysts, and data scientists can spend less time cleaning data and more time tackling the more compelling aspects of data analysis. In this course, learn about the principles of tidy data, discover how to create and manipulate data tibbles, and find out how to use the tibbles in importing, transforming, and cleaning your data. Instructor Mike Chapple uses R and the tidyverse packages to teach the concept of data wrangling-the data cleaning and data transformation tasks that consume a substantial portion of analysts' time. He wraps up with three hands-on case studies that reinforce the data wrangling principles and tactics covered in this course.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 146 lectures (8h 3m) | Size: 6.43 GB
Master Advanced Data Visualization, Data Preprocessing, Data Wrangling in Python with Industry Level Projects

Duration: 23m | Mar 11 2021 | Video: 1920x1080, 48kHz | 108 MB
Genre: eLearning | Language: English | Skill Level: Advanced
Understanding the deep technical details how dates and time work in iOS is immensely helpful for developing apps-every single day, month, and year! Learn the foundational structures behind working with dates and time in iOS. Then, apply your date modeling to SwiftUI views.