Engineering and Technology
Learn how to approach and win competitions on Kaggle.
Kaggle is widely recognized as the leading platform for Data Science competitions. Engaging in these competitions offers the opportunity to collaborate with real-world datasets, delve into diverse machine learning problems, engage in friendly competition with other participants, and ultimately gain invaluable practical experience. This course is designed to equip you with the skills to effectively approach and organize any Data Science competition. You will learn how to carefully select appropriate local validation methods and effectively mitigate overfitting. Additionally, you will gain mastery in advanced feature engineering techniques and model ensembling approaches. Throughout the course, you will have the opportunity to apply these techniques to Kaggle competition datasets, further enhancing your proficiency in the field.
by DataCamp
Learn how to approach and win competitions on Kaggle.
by DataCamp
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataF...
by DataCamp
Learn how to build a model to automatically classify items in a school budget.
by DataCamp
Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using...