# Data science Workflow

There are no fixed frameworks or defined templates for solving data science problems. The strategy changes with every new problem sets of different projects. But the steps we applied to solve the problem are almost similar to many different problem statements. This is the high level workflow for all type of problem statement which are… Read More Data science Workflow

# How To Identify Patterns in Time Series Data: Time Series Analysis

Article originally posted Here. Full credit goes to statsoft.com. In the following topics, we will first review techniques used to identify patterns in time series data (such as smoothing and curve fitting techniques and autocorrelations), then we will introduce a general class of models that can be used to represent time series data and generate predictions… Read More How To Identify Patterns in Time Series Data: Time Series Analysis

# Introduction to Bayes’ Theorem for beginners

Bayes’ Theorem is used to classification and prediction values from the given data sets. Which is known as Naive Bayes’ classifier. Naive Bayes’ classifier is mainly used in machine Learning. Before going to learn Bayes’ theorem formula you should have little bit conceptual knowledge of Bayes’ theorem: In probability theory , Bayes’ theorem explains the probability of most probable event, based… Read More Introduction to Bayes’ Theorem for beginners

# Beginner to Advance level – Steps to make regression model part 2

In previous article of this series we learned how to calculate values of coefficients, test of slope coefficients and Hypothesis.

# Beginner to Advance level – Steps to make regression model part 1

You must have heard about Regression models many times but you might have not heard about the techniques of solving or

# Beginners guide to Statistical Cluster Analysis in detail part-2

In the Last part of Statistical Cluster Analysis

# Beginners guide to Statistical Cluster Analysis in detail part-1

Statistical cluster analysis is a Exploratory Data Analysis Technique which groups heterogeneous objects (M.D.) into

# Who are Data Scientists and what they do?

In this tutorial we will discuss about the skills and steps for becoming

# An implementation of Grammar of Graphics in R

In previous article we discussed about qplot() which is analogy

What is ggplot2?

# How to do cox(Proportional Hazard) regression modelling using R?

Definition: Cox regression

# How to do factor analysis using R?

Factor analysis aim to

# Types of Continuous Probability Distribution?

In the last article, we have discussed about