Honestly, feature engineering is perhaps THE most important aspect of Kaggle competitions. A quick glance at previous winning solutions will show you how important feature engineering is. It’s often the difference between a top 20 percentile finish and a mid-leaderboard position. We can make new ...
and gain valuable experience to help grow your career. The first book of its kind, The Kaggle Book assembles in one place the techniques and skills you’ll need for success in competitions, data science projects, and beyond. Two Kaggle Grandmasters walk you through modeling strategies you won...
- `loss functions, backbones, unet structures were not so important in this competition after reached 0.875 on public LB; so I spent more time on the data and tried to avoid overfitting to public LB` === Take Away === - [xxxxx] select and use dataset carefully - [xxxxx] choose a s...
These are the functions of the buttons that can be seen in the cell. : Raise the cell position one space forward. : Lower the cell position one space down. : Deletes the corresponding cell. / : Hides or indicates that cell. : provides the following additional features: ...
Having joined Kaggle over 10 years ago, Luca Massaron is a Kaggle Grandmaster in discussions and a Kaggle Master in competitions and notebooks. In Kaggle competitions he reached no. 7 in the worldwide rankings. On the professional side, Luca is a data scientist with more than a decade of ...
She is helping early in career data scientists grow in their journey and evolving the industry landscape through KaggleX. Ray holds a B.S. in Management from the University of San Francisco, and has over 10 year of experience in tech working in various functions, such as business development...
Activation Functions (ReLU, Sigmoid, Softmax) Regularization Techniques (Dropout, BatchNorm) 🎯 Resources: Andrew Ng’s Machine Learning Course (Coursera) Deep Learning Specialization (Coursera - Andrew Ng) Fast.ai Deep Learning Course Hands-on Machine Learning with Scikit-Learn, Keras, ...
This article illustrates skills needed to solve kaggle problems in kaggle competitions like titanic and more with their difficulty level.
I am still a bit overwhelmed by the competitions, and these posts help me a lot. Thank you! Looking at past solutions is a great way to learn what to do in competitions. Especially for someone like me who gets lost every now and then. Suraj RP Posted 5 years ago arrow_drop_up1more...
Using Time Information in Trigonometric Functions or a BETTER WAY Gotham Jocker·inBinary Prediction with a Rainfall Dataset·Lastcomment1d agoby Gotham Jocker arrow_drop_up3arrow_drop_down 6 commentsmore_horiz arrow_drop_up30arrow_drop_down