# Why is Statistics Important? (or at least in Data Science)

Last month, I marked the first anniversary of my graduation from college. For you who don’t know, I took mathematics as my major in college. I still remembered the course I took that involve statistics in it, such as Linear Regression Analysis, Probability Theory, Computational Statistics, etc.

I have to admit, I was not the most diligent student back then. Therefore, I have limited knowledge even though I am a Math graduate. But, I realize my weakness and try to overcome it by self-learning about something I like and put highly interest on (which is Data Science). I started do…

# Machine Learning Way to Predict the Survival of RMS Titanic Passengers

In the middle of my journey process, I decided to do a challenge on kaggle competition. The problem is to predict which passenger survived in the Sinking of the RMS Titanic. While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others.

In this challenge, we have to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc). The datasets is consist of 891 unique example and 25 attribute. Because this…

# My Journey to Learn Machine Learning with my Own Learning Path (at least how I planned it)

As a math graduate, I feel ashamed of myself because I didn’t take every opportunity as a college student to learn data science. Yes, in the final year of my college life, while prepare the final thesis, I choose machine learning as a big topic for my thesis (although it is just a simple clustering method for grouping waste can image that even my professor think it was too easy for a math student). After I graduate I started to feel that it was hard to apply for any data science related jobs if you don’t really have the basic…