Русские видео

Сейчас в тренде

Иностранные видео


Скачать с ютуб Solving Real-World Data Analysis Tasks with Python Pandas & Dataiku DSS (Movie Analysis) в хорошем качестве

Solving Real-World Data Analysis Tasks with Python Pandas & Dataiku DSS (Movie Analysis) 2 года назад


Если кнопки скачивания не загрузились НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием, пожалуйста напишите в поддержку по адресу внизу страницы.
Спасибо за использование сервиса savevideohd.ru



Solving Real-World Data Analysis Tasks with Python Pandas & Dataiku DSS (Movie Analysis)

In this video we walk through a series of real-world data analysis tasks using a Netflix movie & TV show dataset. We start by solving the tasks using the Python Pandas library. We then complete the same problems using the Dataiku Data Science Studio. Being knowledgeable about various tools in the data science space is very important to becoming a senior team member & making management level decisions. Different problems & team dynamics call for different solutions. Seeing a wide range of technology can help you to make educated decisions and level up your overall team impact. Netflix Data: https://www.kaggle.com/datasets/shiva... Check out Keith’s YouTube Channel:    / kgmit   Panda Skills worked on in this video: - General Python Pandas Knowledge - Using groupby method and aggregating values - Sorting columns by value (ascending & descending) - Converting columns to datetime, parsing dates - Strategically iterating through dataframes and counting values Dataiku skills worked on in this video: - Dataiku DSS introductory & intermediate knowledge - High level column & dataset analysis - Dataiku processing Steps such as Prepare, Sample & Filter, and Groupby - Dataiku Split & Fold method - Parsing dates to extract year & month —--------------------- Video Timeline! 0:00 - Introduction & Video Overview 1:18 - Getting started with the Data & Code 4:22 - Task #1 (Python): What is the most popular release year for movies on Netflix? 9:42 - Task #2 (Python): What year did Netflix add the most content to its platform? 16:18 - Task #3 (Python): What is the most popular month to add new content? 20:10 - Task #4 (Python): What is the movie with the longest title in the dataset? 23:54 - Task #5 (Python): Which actor/actress appeared in the most movies & tv shows? 35:48 - Getting started with Dataiku DSS! 38:05 - Task #1 (Dataiku DSS): Most popular release year for movies on Netflix 41:00 - Task #2 & #3 (Dataiku DSS): What was the most popular year & month to add content on Netflix? 44:31 - Task #4 (Dataiku DSS): What is the longest movie title in the dataset? 47:10 - Task #5 (Dataiku DSS): Which actor/actress appeared in the most Netflix movies & tv shows? 56:40 - Video Recap & Conclusion Free Dataiku Learning Resource: https://knowledge.dataiku.com/latest/... Twitter:   / dataiku   Instagram:   / dataiku   From LEARN Media https://learnmedia.io/

Comments