Visualise the business value of predictive models

series: NO DATA SCIENTIST IS THE SAME! – part 8 All Python notebooks from this series are available on our Gitlab page.

Guide to manage missing data

series: NO DATA SCIENTIST IS THE SAME! – part 7 All Python notebooks from this series are available on our Gitlab page.

The Case of High Cardinality Kerfuffles

series: NO DATA SCIENTIST IS THE SAME! – part 6 All Python notebooks from this series are available on our Gitlab page.

Beat dirty data

series: NO DATA SCIENTIST IS THE SAME! – part 5 All Python notebooks from this series are available on our Gitlab page.

Hyperparameter tuning for hyperaccurate XGBoost model

series: NO DATA SCIENTIST IS THE SAME! – part 4 All Python notebooks from this series are available on our Gitlab page.

Good model by default using XGBoost

series: NO DATA SCIENTIST IS THE SAME! – part 3 All Python notebooks from this series are available on our Gitlab page.

Data to predict which employees are likely to leave

series: NO DATA SCIENTIST IS THE SAME! – part 2 All Python notebooks from this series are available on our Gitlab page.

Introducing our Data Science Rock Stars

series: NO DATA SCIENTIST IS THE SAME! – part 1 All Python notebooks from this series are available on our Gitlab page.

What we Learned from Kaggle’s CommonLit Readability Prize 

What did we learn from joining Kaggle’s Commonlit Readability prize? Well, next to having a lot of fun, it definitely helped us to explore the text analytics landscape even further. You can read our whole story in this article