Kaggle Titanic
Kaggle 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 challenge, 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. 從題目可以知道，這是一個 binary classification 最初想到SVM和perception 從題目給的數據，選擇Decision Tree 或 Random Forest可能是比較合理的想法 不過這邊我想用 Logistic Regression 來試試(sigmoid + cross entropy) 把訓練資料的內容全部都變成0-1的數字，剩下的就交給NN去解決 因為我們最後一層的active function是sigmoid 為了避免梯度消失，因次在做cross entropy時把最大最小值定為0.00001和0.99999 做每次的訓練時才不會有Nan的問題 ...
