Using exploration data analysis (EDA) techniques to predict wine quality rating from their chemical properties. Created multivariate plots to illustrate relationships between attributes and quality in R.

Data Mining Project: Classification of the Car Evaluation Dataset.

In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.

Data of 500 Cities with population more than 1 Lac by Census 2011. It is to visualize where the future cities of India stands today.

A bunch of scripts and files that describe topology creation, the topologies, the testing data, real-time graph rendering, table creation and chart creation.

Perform exploratory data analysis to visualize the distribution of values in a dataset, analyze relationships using correlation, and locate and fix data problems including missing values.

Discover how to use Matplotlib to create visualizations using the built-in plots that are provided by the library. Customize your visualizations and write mathematical expressions using TeX.

Plotly interface for frequently used plots

Relational Plot, Two Dimensional Plot, Scatter Plot, Pair Plot, Faceted Plot, Box Plot, Bar Graph, and Density Plot

Analyzing various aspects of immigration to Canada all over the world from 1980 to 2013 using data visualization

MyWork

Visualize movie ratings using ggplot2

A collection of working snippets used for machine learning related tasks.

In a study, 249 mice identified with SCC tumor growth were treated through a variety of drug regimens. Over the course of 45 days, tumor development was observed and measured.

I have used Boston Housing Dataset, which is available at Sklearn API. Find out the outliers using box plot, scatter plot and clean them using Z score and IQR method.

The performance of Pymaceuticals' drug of interest, summary statistics table consisting of the Charts, mean, median, variance, standard deviation, and SEM of the tumor volume for each drug regimen.