Lewis Hamilton is once again leading the world championship after Vettel’s crash in the rainy Hockenheim. Seb must win more points than his title rival if he wants to stay in contention of the drivers championship. However, the upcoming GP is held on the narrow and twisty Hungaroring; a circuit where the Red Bulls are expected to have the advantage just like they did in Monaco earlier this season.
This season is crossing its middle point as F1 heads to Germany which holds the 11th out of the 21 Grand Prix this year. The first-ever, and probably last, triple-header has been completed with Ferrari and Vettel being the winners. Hamilton is hoping to close the 8-point gap to Vettel while Bottas needs to finally get a break and start winning some good points.
In the previous series of posts I discussed and explained the steps involved in Feature Engineering. In this series, I will talk about the coolest part of applied ML; the Predictive Modelling phase. This is where you get to use all the ‘magic’ power of machine learning algorithms and see the performance of any models you build. In this post I’ll start by showing the most common evaluation metrics and then reveal the custom evaluation metric I use for assessing…
Ferrari and Vettel are now leading the respective championships but F1 is heading to Silverstone, a circuit where Mercedes did an 1-2 last year and where a Mercedes car has been winning every year since 2013! So, the odds are with the reigning world champions and they should regain the lead after a disastrous Austrian GP.
F1 is heading to the 2nd of the three back-to-back Grand Prix in Red Bull ring. Last year, Valtteri Bottas took the win with Lewis Hamilton only managing a 4th place. Vettel is definitely in need of a win if he wants to keep his chances of challenging for the drivers’ title high.
Alonso may have won Le Mans 24h and gone a step forward towards the triple crown, but his chances of repeating anything similar this weekend are pretty much non-existent. F1 returns to the Circuit Paul Ricard that held the French Grand Prix on several occasions between 1971 and 1990. The circuit features the distinctive ‘Blue’ and ‘Red’ zones designed to reduce cars’ speed without the need for gravel traps, while any drivers who make a mistake in a corner are…
Up till now we have discussed on how we can create some features and how we can encode them. We’ve, hopefully, ended up with lots of variables and we are seeking a way to keep the top-performing ones. In this post I’m going to explain ‘why’ and ‘how’ we should cleverly select our features.
F1 is heading to a circuit where Lewis Hamilton and Mercedes have won in the last 3 occasions. Can they repeat it for a 4th time in a row? If Lewis wins, he will reach Michael Schumacher who has won the Canadian GP 7 times! Another important statistic is that Ferrari has not tasted the win in Canada since 2004!
Monaco, the most exciting race of the year, is approaching and the drivers want to showcase their talent in a so-called driver’s circuit. Following the Spanish GP where Mercedes dominated, this low-speed, low-grip circuit is expected to suit the Red Bulls and the Ferraris more than the current world champions.
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…