sasidhar-sirivella Goto Github PK

data-analysis-and-prediction-on-crimes-in-montgomery-county

Our study aims to find spatial and temporal criminal hotspots using a set of real-world datasets of crimes. We intend to perform extensive exploratory data analysis that will help us understand the factors affecting the crimes such as crime locations, timeshifts, response time etc., Based on the preliminary analysis and feature selection, we intend to predict the average response time for a given crime and also predict crime rate based on temporal data. Finally, we provided an analysis/ suggestions by combining our findings that would help the officials to make decisions accordingly in order to improve the safety of Montgomery County.

energy-consumption-forecasting---multiple-seasonality

We seek to analyze the electricity consumption data and present the performance of basic forecasting models, STL (Seasonal and Trend decomposition using Loess) with multiple seasonal periods, ETS, ARIMA, TBATS and compare them.

harvard-business-case-study-on-ship-valuation

Built a Linear Regression model to predict the price of a ship.

hiring2020

Internship status of companies - COVID-19

i

Personal Website PMajoni

machine-learning

Machine Learning Projects

my-personal-portfolio1

neuroflow-task-1

neuroflow-task2

numpy-100

100 numpy exercises (with solutions)

p4

A flat design, one page, MIT licensed Bootstrap portfolio theme created by Start Bootstrap

portfolio3

python

All Algorithms implemented in Python

quick-portfolio

Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

sasidhar.github.io

screening-tool-to-identify-the-patients-with-chronic-kidney-disease

Built a model using logistic regression that predicts CKD. Selected and validated significant factors by using R (PCA and Random Forest), and by consulting with physicians. Designed an easy-to-use survey by capturing the above factors and used correlation to provide a risk score that predicts likelihood of getting CKD.

simple-forecasting-methods---r-code

R code for the medium article "Simple Forecasting Methods"

songs-popularity-prediction-

Built a model to identify the popularity of a given song in order to understand the features that are important in predicting the popularity of a song. This can help an artist to understand if their song is going to be popular or not.