Learn data science through hands on problems

Introduction

As part of DataFest 2017, we launched a new initiative – DataHack Hour. DataHack Hour was inspired by numerous queries we get related to learning Data Science. Questions like “How to learn analytics?” or “How to become a data scientist?” are asked to us multiple time every day.

While we had written several articles on this subject on Analytics Vidhya – we needed something more definitive to answer these queries. In order to answer these queries, we decided to create an experience to show people how to learn Data Science. This version of DataHack Hour is our answer to the above questions or many more questions which come to us.

A Complete Tutorial on Tree Based Modeling from Scratch (in R & Python) from analytics vidya

Introduction

Tree based learning algorithms are considered to be one of the best and mostly used supervised learning methods. Tree based methods empower predictive models with high accuracy, stability and ease of interpretation. Unlike linear models, they map non-linear relationships quite well. They are adaptable at solving any kind of problem at hand (classification or regression).

Orange theme blogger

https://drive.google.com/file/d/0Bx_kBUn_vtwgWFNDZ3lrN2hRbVE/view?usp=sharing

Discussion with akamei

what are ACID?
what is solid in OOP?
how is transaction different from RDBMS to CASSENDRA
how is google.com resolved
why docker
where does docker store data 

Data science e books

http://www.listendata.com/2016/05/free-ebooks-on-r-python-and-data-science.html