Recommendation

Best Kaggle competitions for beginners | Data Science and Machine Learning

One

There are some Best Kaggle competitions for beginners :

Classification Problem: https://www.kaggle.com/c/titanic

Regression Problem: https://www.kaggle.com/c/house-prices-advanced-regression-techniques

Computer Vision: https://www.kaggle.com/c/digit-recognizer

Image Processing: https://www.kaggle.com/c/facial-keypoints-detection

Natural Language Processing: https://www.kaggle.com/c/word2vec-nlp-tutorial

Two

@Ramona: There is a number of good options to move on

• House Prices: Advanced Regression Techniques (https://www.kaggle.com/c/house-prices-advanced-regression-techniques) will be helpful to improve your knowledge and skills in tackling regression problems as well as doing complex exploratory data analysis, feature engineering, and data pre-processing on a data set with a large number of feature variables
• Digits Recognizer (https://www.kaggle.com/c/digit-recognizer) will be helpful if you like to delve into image recognition field

The real value of those competions is in the extensive set of discussion topics and kernels from experts who examplify how to implement best practices and prominent machine-learning algorithms for those types of problems.

Apart from that, I reccommend you to review open contests in the In-class segment (https://www.kaggle.com/competitions?segment=inClass) - such competions do not have tag 'Limited' behind its title. Although such competions are orginially designed by professors of some of universities worldwide to tackle by their students in the classes/labs, you can still join them. Typically, those competions do not have large amount of good kernels/discussions but they are relatively easy at the same time. So you can enjoy some of them as you exercise "learning by doing" in such a way.