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amexpert2019-ml-hackathon

car-number-plate-detection

covid19-scenarios

Merging Machine Learning approach with Mathematical Epidemological Modeling

credit_score_modeling

A credit scoring model is a statistical tool widely used by lenders to assess the creditworthiness of their potential and existing customers.

electricity-demand-forecasting

Forecasting of power demand plays an essential role in the electric industry, as it provides the basis for making decisions in power system planning and operation. A great variety of methods for predicting electricity demand are being used by electrical companies, which are applicable to short-term, medium-term or long-term forecasting. But changing the electrical demand arises from complex interactions between personal, corporative and socio-economic factors. In such a dynamic environment ordinary forecasting techniques are not sufficient, and more sophisticated methods are needed. The objective is to effectively untangle all the factors that lead to demand change and to determine the underlying causes. But analyzing multiple personal and social factors is complicated, to say the least. We need both rich data, along with complex predictive models to analyze it.

ful-stack-data-science

This repo is about full cycle of a data science project starting from data collection to model pipelining.

ids-using-ann

Comparison of different neural network learning algorithms for Intrusion Detection System

non_linear_optimization

simulation of actual demand of electricity load.

optimal-power-flow

Optimal power flow in the electrical system

social-ebracing-

Trying to defing a metrics for social embracing using clustering

statisticsl-analysis

To study the effect of Indian classical music in children with Attention deficit hyperactivity disorder (ADHD).

text-modeling

Economic times articles for text classification problem