Yogesh Patil (YogeshPatil88)

YogeshPatil88

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Company:FIGmd Inc India

Location:Pune

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Yogesh Patil's repositories

Blood-pressure-abnormality

In this dataset we have given records of patients having various diseases and we have to predict that his blood pressure abnormality.

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Chest-X-Ray-Detection-using-Transfer-Learning

In this dataset there are two categories in the images i.e. Normal and Pneumonia X-Ray . So by applying transfer learning algorithm over that, I got the good accuracy and model got trained in less time.

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DemoRepo

Demo Repository for Databricks

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Desktop-Voice-Assistant

This is a python based desktop assistant, which can search wikipedia, open youtube, play music with the user's voice input. We can add N Number of features to this assistant and we can make many things work with this Voice Assistant.

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Fake-News-Detection-Using-NLP

In this dataset, I had to predict the News whether it is REAL or FAKE using Natural Language Processing and Using CountVector and TFIDF, I was able to get the accuracy.

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Fruit-Classification-using-Transfer-Learning-VGG16-model

By Using Transfer Learning VGG16 model, we can identify and classify the fruits from folder.

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heart-disease-prediction

About This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to this date. The "goal" field refers to the presence of heart disease in the patient. It is integer valued from 0 (no presence) to 4.

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Logistic-regression-and-decision-tree

In this dataset we have given various parameters of a person applying for a loan , on basis of that parameters we have to build model to predict his loan status.

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Predicting-the-Global-sale-of-company

We have given various columns of sales in countries, developer and so many, by using linear regression we have to predict the global sale of the company.

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siril-sqaure

A sample code repository for squaring on Pypi module

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Web-Scrapping-using-BeautifulSoup

In this Project we will be fetching different types of data through E-Commerse website and will list down in Jupyter notebook

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