Baku gave us one the most thrilling GPs ever and, surely, the more unpredictable race so far in 2018. Lewis and Mercedes finally clinched their fist victory of the season but it was not a clean one. F1 is heading to Spain where all teams and drivers have clocked hundreds of thousands of miles around the Catalunyan circuit due to the winner testing and they know the circuit inside-out. Will Ferrari win for the first time since 2012 when Alonso…
After what has been the most unpredictable Grand Prix so far in 2018 season, F1 is heading to Baku that holds the Azerbaijan GP. Last year, this circuit gave us some moments to remember such as Vettel colliding with Hamilton on purpose and Ricciardo’s three-way pass. This year, Lewis has yet to win a GP and I think he, and Mercedes, will give it all to achieve this.
Next up is the Chinese Grand Prix which comes after the Bahrain GP which had everything: the amazing 3-way overtake of Hamilton, both Red Bulls DNF’d, Raikkonen running over his mechanic at the pit-stop, Gasly finishing P4, Ericsson P9 and Vettel winning the race despite using his soft tyres for almost 40 laps! Will this GP be as exciting as the previous one?
After a surprising, in many ways, Australian GP, Formula 1 heads to Bahrain for the 2nd round of the championship. Ferrari will try to repeat the win, however this seems rather unlikely! I think everyone expects to see what the Haas drivers can do if their pit crew does its job properly! As an Alonso fan, I’m looking forward to watching him grabbing any opportunity that arises to gain positions.
The new season is finally starting and I can’t wait to watch the Australian GP. The new cars are an evolution of the previous ones since there was no major change in the rules. The most visible changes are the introduction of the much debated Halo device – which I’m not fan of although it doesn’t look as bad as I expected – and the removal of the shark fin and the T-wing. Of course, McLaren has switched engines with…
In applied machine learning, there is usually a trade-off between model accuracy and interpretability. Some models like linear regression or decision trees are considered interpretable whereas others, such as tree ensembles or neural networks, are used as black-box algorithms. While this is partly true, there have been great advances in the model interpretability front in the past few months. In this post I will explain one I the newest methods in the field, the so-called SHAP, and show some practical…
2017 season is, unfortunately, over and at the same time that was the end of the first season F1-predictor published qualifying and race predictions. In this post I would like to describe my experience from this first year of keeping this blog and – most importantly – provide an objective assessment of 2017 predictions!
The season is – unfortunately – coming to an end and both world championships have been already decided. Abu Dhabi is the last race of the season and we’ll only be interested in seeing whether Vettel can seal the 2nd position in the drivers championship.
Hamilton and Mercedes may have clinched the driver’s and the constructor’s championship respectively, but there’s a lot to play for in the lower positions. Just six points separates Toro Rosso in 6th position, Renault in 7th and Haas in 8th. I believe both teams will jump ahead of Torro Rosso mainly due to the inexperience of its current driver line-up.
In this post I’m going to talk about one of the most creative aspects of data science: feature encoding. If you haven’t followed my previous posts on feature engineering, you can find them in this link before reading this one.