Books / Websites which provide steps to solve various data science projects?

machine_learning
data_science

#1

Hi,

I am new to data science domain and recently started participating in Data science competitions. During the last 3 competitions, the biggest challenges I faced were lack of practical knowledge and coding. I usually Google takes more time (I always google python codes to run different model). Can you help me with the books/ website where various practical examples are given in a structured way?

Regards,
Imran


#2

http://blog.kaggle.com/ - the winner of the kaggle competition discuss their solution on the blog and gives good inside on the approach.

also book called Applied Predictive Modelling by Max Kuhn also gives a good insight on how to approach the problem.


#3

Here are a few projects, some of them are from Analytics Vidhya itself:

Using R

  1. The solution to Kaggle bike sharing competition: http://www.analyticsvidhya.com/blog/2015/06/solution-kaggle-competition-bike-sharing-demand/

  2. Solution to Kaggle Facebook recruitment contest: http://www.analyticsvidhya.com/blog/2015/07/top-10-kaggle-fb-recruiting-competition/

Using Python

  1. Solution to Titanic Kaggle competition: http://www.analyticsvidhya.com/blog/2014/08/baby-steps-python-performing-exploratory-analysis-python/
    http://www.analyticsvidhya.com/blog/2014/09/data-munging-python-using-pandas-baby-steps-python/

  2. You can look at several iPython notebooks here: https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks

  3. You can also look at this book: Programming Collective Intelligence - awesome book which covers basics well and has a lot of code as well,