Shubham Mohan Unde (ShubahmUnde)

ShubahmUnde

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Location:Pune

Home Page:shubhamunde11@gmail.com

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Shubham Mohan Unde's repositories

Covid-Effect-On-Life-Expectancy-Worldwide

Understanding the mortality impact of COVID-19 requires not only counting the dead, but analyzing how premature the deaths are. We calculate years of life lost (YLL) across 81 countries due to COVID-19 attributable deaths, and also conduct an analysis based on estimated excess deaths. We find that over 20.5 million years of life have been lost to COVID-19 globally.

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Intestine-Bacteria-Type-Detection

Classification of More than two class called Multiclass classification, here i used Decision tree of 4 models, Goal to Predict the Classes of E.coli(type of Bacteria in Intestine)

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Capstone-project-brief

Presentation of capstone project

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Customer-Satisfaction-prediction

Logistic regression is used to predict the Class of Y variable, using Logit and Sigmoid Function

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Detecting-the-type-of-Wheat

Domain of project is about agriculture, where i tried to detect the exact type of Wheat, which depends on there features like area, perimeter, kernals

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Detection-Of-Heart-Disease

#life style is mostly responsible for heart disease

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Detection-of-type-of-Cardiograms-CTGs-

fetal cardiotocograms (CTGs) were automatically processed and the respective diagnostic features measured. The CTGs were also classified by three expert obstetricians and a consensus classification label assigned to each of them. Classification was both with respect to a morphologic pattern (A, B, C. ...) and to a fetal state (N, S, P). Therefore the dataset can be used either for 10-class or 3-class experiments.

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Face-mask-Detection-

Face Mask detection using combination of CNN and OpenCV

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Predicting-the-Churn-possibility-when-data-is-imbalanced

used Under sampling ,Oversampling technique to overcome the problem of Imbalance dataset, so model can predict exact and accurate churn possibilities

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Residual-contents-in-Protein-structure

Goal is to find the Prediction of Protein content, so used All Regression Algorithms of Machine Learning

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Social-media-add-clicked-predictions

Tried to do prediction on social media add data, so predict is to s that add clicked or not ,and factor behind that

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Stock-Forecasting-

Forecasting is done in machine learning using TIME series techniques

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Terririsom-EDA-using-tableua

Exploratory Data Analysis, on huge data which have lot of anomalies

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