This can be said without any debate that machine learning is changing the way we look at world at a very fast speed. The data science community is vastly expanding and more number of developers are choosing machine learning as their career option.
Gaining experience from the blogs of all the winners of online competition, I could see what approaches they follow, their solutions etc. Some of the most important points that I try to follow when I see a new machine learning challenge are: 1. Understand : Try to understand the data thoroughly, what each feature means and how it it related to the target variable. Exploring the data using plots gives an idea about features. 2. Data cleaning : Imputation of missing values and data pre-processing. 3. Feature Engineering : The most important part is feature engineering. Good feature engineering can give you an edge over others in any competition. In fact, it's the most important and most difficult step to think of and comes only with experience and practice. 4. Splitting your data: Creating a strategy how to split your data into training and validation set. A good validation set that matches your score on the leader board is very crucial to fine tune your code....
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