Tejas Vasant Sutar's repositories
AIRLINES_KMEANS_CLUSTERING
Perform clustering (Both hierarchical and K means clustering) for the airlines data to obtain optimum number of clusters. Draw the inferences from the clusters obtained.
CRIME_CLUSTERING
Perform Clustering for the crime data and identify the number of clusters formed and draw inferences.
Multiple-Linear-Regression
To predict the price of computer using multiple inputs in python
New-Jersey-Air-Quality-Prediction
Over the past decade, an increasing interest has evolved by the public in the day–to–day air quality conditions to which they are exposed. Driven by the increasing awareness of the health aspects of air pollution exposure, especially by most sensitive sub–populations such as children and the elderly, short–term air pollution forecasts are being provided more and more by local authorities. The Air Quality Index (AQI) is a number used by governmental agencies to characterize the quality of the air at a given location. AQI is used for local and regional air quality management in many metropolitan cities of the world. The main objective of the present study is to forecast short–term daily AQI through previous day’s AQI and meteorological variables using principal component regression (PCR) technique.