Tackle a Kaggle with BUILDS! Kaggle is a machine learning competition platform
Our first competition:
The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912,
during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224
passengers and crew. This sensational tragedy shocked the international community and led to better safety
regulations for ships.
One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats
for the passengers and crew. Although there was some element of luck involved in surviving the sinking,
some groups of people were more likely to survive than others, such as women, children, and the upper-class.
In this contest, we ask you to complete the analysis of what sorts of people were likely to survive. In
particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy.
Meeting Times: Saturdays at 1500 EST
Gained familiarity with python
Tested homebrew code against sample code
Made multiple submissions
Discussed possibility of different models
Digits Recognizer competition
completed one-vs-rest linear SVM, which placed 1121/1176 (83% accuracy)
benchmark of KNN placed 350/1176 (96% accuracy)
implemented SVM with RBF kernel and tested (worse than benchmark)