Data Science

16/02/2017

https://www.analyticsvidhya.com/blog/2016/01/xgboost-algorithm-easy-steps/?utm_content=buffer5638b&utm_medium=social&utm_source=facebook.com&utm_campaign=buffer

Introduction Did you know using XGBoost algorithm is one of the popular winning recipe of data science competitions ? So, what makes it more powerful than a traditional Random Forest or Neural Network ? In broad terms, it's the efficiency, accuracy and feasibility of this algorithm. (I've discussed…

23/01/2017

http://analyticsindiamag.com/10-machine-learning-algorithms-every-data-scientist-know/

31/07/2016

https://www.analyticsvidhya.com/blog/2015/09/applications-data-science/

Introduction One of the questions people ask me commonly is: Is Big Data / Data Science really a buzz or a once in a life time opportunity? Different people have different answers and view points to the question above. I don't want to get into this debate here. I am rather taking

31/07/2016

https://www.analyticsvidhya.com/blog/2015/09/applications-data-science/

27/07/2016

http://blog.aureusanalytics.com/analytics-reporting/

5 Reasons why your advanced analytics is probably still “reporting” and what you can do about it. Posted by: Ketan Pandit on August 25, 2015 in Analytics Leave a comment 2088 views 5 The industries we work in – Insurance and Banking – are probably the most process driven and metric focused businesse...

27/07/2016

http://spectrum.ieee.org/computing/software/top-programming-languages-trends-the-rise-of-big-data?utm_content=buffer1f751&utm_medium=social&utm_source=facebook.com&utm_campaign=buffer

Languages like Go, Julia, R, Scala, and even Python are riding the number-crunching wave

19/07/2016

http://www.analyticsvidhya.com/blog/2015/06/correlation-common-questions/?utm_content=buffer28126&utm_medium=social&utm_source=facebook.com&utm_campaign=buffer

Introduction The natural trajectory of learning statistics begins with measures of central tendency followed by correlation, regression to other advanced concepts. Amongst these initial concepts, I found correlation easy to understand, yet, got puzzled up when it got linked with other statistical co...

16/06/2016

http://www.analyticsvidhya.com/blog/2015/10/basics-logistic-regression/?utm_content=buffer08f16&utm_medium=social&utm_source=plus.google.com&utm_campaign=buffer

Do you understand how does logistic regression work? If your answer is yes, I have a challenge for you to solve. Here is an extremely simple logistic problem. X = { 1,2,3,4,5,6,7,8,9,10} Y = {0,0,0,0,1,0,1,0,1,1} Here is the catch : YOU CANNOT USE ANY PREDEFINED LOGISTIC FUNCTION! Why am I asking…

07/06/2016

Useful links for online courses :
1-www.edx.org/
2- www.coursera.org
3- www.udacity.com
4- www.edraak.org
5- www.class.stanford.edu
6- www.venture-lab.org
7- www.education.10gen.com
8- www.openhpi.de
9- www.ocw.mit.edu
10- www.khanacademy.org
11- www.oli.cmu.edu
12- www.oyc.yale.edu
13- www.webcast.berkeley.edu
14- https://lnkd.in/dknxV4W
15- www.see.stanford.edu
16- www.ck12.org
17- www.udemy.com
18- www.skillshare.com

30/04/2016

http://www.hub4tech.com/machine-learning/what-is-machine-learning

What is Machine Learning? - Learn online Machine Learning with simple and easy examples, Covering Machine Learning with R, Tracking Blue Object, Video Capture, Random Signal and FFT, Convolve,1-D data (one feature),k-Means Clustering, Python, Linear Regression in R, Installing R, Algorithms Grouped…

30/04/2016

http://www.hub4tech.com/machine-learning/what-is-machine-learning

28/04/2016

http://www.analyticsvidhya.com/blog/2015/09/perfect-build-predictive-model-10-minutes/?utm_content=bufferfaee8&utm_medium=social&utm_source=facebook.com&utm_campaign=buffer

Introduction In the last few months, we have started conducting data science hackathons. These hackathons are contests with a well defined data problem, which has be be solved in short time frame. They typically last any where between 2 - 7 days. If month long competitions on Kaggle are like maratho…