Monthly Archives: December 2015

Social Network Analysis – Visualization and Applications

Downloading Gephi

Introduction to Gephi;  installing and exploring

Modularity and desired number of communities

Filtering Networks

Communication neworks

Predicting epidemic using social networks

SNA and Fraud Detection

Using R in SNA (In this particular example it is network analysis applied in documents), using package iGraph

The free ebook with all codes are available here:

You want weekly class notes, here is Univ. of Maine lecture notes.

Stanford University 9 lectures on SNA

Some Top Techniques and Tools for a Data Scientist

  1. How to find the optimum parameter values for a curve fitting problem. Stochastic Gradient Descent Method for Finding Local Optimum.

This is a commonly used numerical optimization technique. Some times, this is also called batch gradient descent algorithm.

2. How to avoid over-fitting problem? Use Regularization.

3. Sparse Matrix Based Prediction – GLMNET in R

4. Naive Bayes Modeling when there are many many conditioning variables

5. Out of Necessity, Real Time Application of Naive Bayes Application – Spam Deduction

6. Fisher LDA and Bayesian Classification

7.Lagrange Multipliers – A Simple Intro

8. Density Based Spacial Clutering Algorithm With Noise – DBSCAN

9. Meanshift Clustering with Scikit-learn and Python