Alex Paul

2023 Rapha Festive 500 and Machine Learning

Day 8: December 31

Blew through the 500 km target with a final ride for 2023. Finished the Rapha Festive 500 challenge at 549 km.

Such a fun, challenging event to close out the year. Also, it gave me a great opportunity to kick start my Machine Learning track on Coursera.

Multiple linear regression quiz
Rocking the Zwift in-game 2024 New Years hat 🎩
Finished at 549 km
Final Stats

Day 7: December 30

500 km goal achieved today after 7 days of consecutive riding. I did the holiday Gran Fondo on Zwift and completed 64 miles in the process.

Caught up with some SportsCenter and a documentary about Charlie Ward
Gradient descent on multiple features
Normal equation as an alternative to using Gradient descent
Holiday Fondo Kit Unlocked
Multiple features lab
Last bit of this ride involved the Epic KOM, always a brutal ending to this course on the legs

Day 6: December 29

Today with a bit warmer temps this time of year I opted to ride outdoors. I biked from Queens to Central Park and enjoyed a loop of the park before heading back home. Total miles today was 22 miles.

60 miles or 97 km to go to hit the 500 km target.

As per my Machine Learning course, today I’m implementing the regression labs over for further understanding.

Photo taken on Cat Hill in Central Park
Rocking last years Rapha Festive 500 cap

Day 5: December 28

Today I wrapped up Week 1 of Coursera’s Machine Learning specialization course.

As per miles on the bike I completed 30+ miles and with 3 days to go I have 83 miles left or 134 km.

Gradient descent practice quiz
Multiple linear regression
Multiple features quiz
NumPy vectorization
Code without vectorization vs code using vectorization

Day 4: December 27

309 km of the 500 km goal met. For today I decided to continue riding post the Rapha Festive 500 group ride and completed 40 miles.

Linear regression model, Cost function and the Gradient descent algorithm
Visualizing the Gradient descent
Gradient descent for Linear regression optional lab
Contour plot
Conclusion of the lab and its contents includes examining the impact of sizing the (alpha) learning rate

Day 3: December 26

Hit 60 miles today. 260 km to go.

Cost function lab
Gradient descent
Gradient descent algorithm

Day 2: December 25

Today I kept my ride short at an hour covering 20 miles during a Festive group ride on Zwift.

Santa delivering the last of the presents 🎁

I continued and reviewed the cost function.

Cost function review

The festive day continued on this Christmas 🎄 day.

Matching PJs on Christmas Day ❤️

So far doing well on mile coverage. The total so far is 85 miles or 137 km of 500. Averaging a little over 40 miles a day target. 6 days to go.

Day 1: December 24

I started the Rapha Festive 500 today by logging 65 miles on Zwift. I started by doing a Festive 500 group ride lasting about 18 miles. Afterwards, I joined an event that lasted an hour and 30 minutes, and then for the remaining rides, I did robopacer group rides.

For entertainment, I started watching the “Machine Learning” Coursera course by Andrew Ng.

Machine Learning course on Coursera

Topics covered in the Machine Learning course so far:

  • Supervised learning
  • Unsupervised learning
  • Using Jupyter Notebooks and Python
  • Linear regression
  • Cost function formula
ROH4 Event

Resources

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