Used Natural Language Processing technique to predict the next word.

Determine optimal location to install health facilities at Arequipa (Peru), in support of Chagas Disease Campaign. Technique used: K-Means Clustering.

Exploratory Data Analysis - Boxplots, Barplots, Correlation Plot. Model Building: Decision Tree, Random Forest, Linear Regression Result - Important attributes contributing to the sales, predicted sales.

Initial stages of Sales data preparation: Hypotheses Generation, Data Cleaning, Ideas for Statistical Modelling.

Models: Logistic, Simple Linear and Multiple Linear Regression, K-Nearest Neighbors, Linear and Quadratic Discriminant Analysis [LDA, QDA].

Forecast the use of a city bike-share system - predict the total count of bikes rented during each hour. Models: Decision Trees, Random Forest.

Comparison of model performance: Regression Vs Classification. Models: K-Nearest Neighbors, Multiple Linear Regression

Visit this link to access the fully developed shiny app: https://epi1.shinyapps.io/Inspector_Routing/

Detailed Financial Analysis pertaining to Audit and Accounting.

Customers’ product affinity is analyzed and the frequent item sets are identified based on the Apriori Algorithm (Association Rules).

Determines the survival rate of the passengers [Titanic]. Link for Shiny app: https://mughundhanc.shinyapps.io/Survival_Titanic/ Classifiers used: Simple Aggregation and Logistic Regression.

Detailed Financial Analysis pertaining to Audit and Accounting.

Data Science Capstone Milestone Report

Expenses Calculator for graduate students at University of Illinois at Chicago - UIC

Exploratory Data Analysis followed by Hypotheses Testing. This report is published for Statistical Inference Course in Coursera.

Exploratory Data Analysis for Statistical Inference Course in Coursera.

Exploratory Data Analysis to identify the factors which majorly contributes for the Crop Damage