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Plan Szkolenia
Introduction
- Overview of Kaggle
- Kaggle categories and performance tiers
Kaggle Competitions
- Overview of Kaggle competitions
- Competition formats
- Joining a Kaggle competition
- Forming a team
Kaggle Datasets
- Kaggle types of datasets
- Searching and creating datasets
- Organizing and collaborating
Kaggle Kernels
- Kaggle kernel types
- Searching for kernels
- Kernel editor and data sources
- Collaborating on kernels
Kaggle Public API
- Installing and authenticating
- Using Kaggle API with competitions
- Using Kaggle with datasets
- Creating and maintaining datasets
- Using Kaggle API with kernels
- Pushing and pulling a kernel
- Checking the status and output of a kernel
- Creating and running a new kernel
- Kaggle configurations
Summary and Next Steps
Wymagania
- Python programming skills
- Knowledge of machine learning
- Understanding of statistics
Audience
- Data scientists
- Developers
- Anyone who wants to learn Data Science using Kaggle
14 godzin
Opinie uczestników (7)
przykłady i ćwiczenia
Kamil
Szkolenie - Introduction to Data Science and AI using Python
Rzeczowa wiedza poparta doświadczeniem praktycznym. Pierwszy raz brałem udział w szkoleniu 1 osobowym co znaczanie bardziej ułatwiło kontakt i przyswajanie wiedzy, także tutaj też duzy plus.
Mateusz Macalik - LG Energy Solution Wrocław Sp. z o.o.
Szkolenie - Introduction to Data Science
All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.
Mathipa Chepape - Vodacom
Szkolenie - Big Data Business Intelligence for Telecom and Communication Service Providers
Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra
Marija Hornis Dmitrovic - Marija Hornis
Szkolenie - Data Science for Big Data Analytics
It is great to have the course custom made to the key areas that I have highlighted in the pre-course questionnaire. This really helps to address the questions that I have with the subject matter and to align with my learning goals.
Winnie Chan - Statistics Canada
Szkolenie - Jupyter for Data Science Teams
Trainer was accommodative. And actually quite encouraging for me to take up the course.
Grace Goh - DBS Bank Ltd
Szkolenie - Python in Data Science
Do aprendizado, conseguir colocar em prática os exercícios propostos.
