Saurav Mishra (@sauravmishra1710)
github

sauravmishra1710

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  • Stars
    star
    104
  • Global Rank 202,128 (Top 7 %)
  • Followers 35
  • Following 61
  • Registered over 6 years ago
  • Most used languages
    Jupyter Notebook
         81.3 %
    Python
         18.8 %
  • Location 🇮🇳 India
  • Country Total Rank 11,293
  • Country Ranking
    Jupyter Notebook
         445

Top repositories

1

Heart-Failure-Condition-And-Survival-Analysis

Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.
Jupyter Notebook
40
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2

U-Net---Biomedical-Image-Segmentation

Implementation of the paper titled - U-Net: Convolutional Networks for Biomedical Image Segmentation @ https://arxiv.org/abs/1505.04597
Jupyter Notebook
20
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3

UNet-Plus-Plus---Brain-Tumor-Segmentation

Brain tumor segmentation using UNet++ Architecture . Implementation of the paper titled - UNet++: A Nested U-Net Architecture for Medical Image Segmentation @ https://arxiv.org/abs/1807.10165
Jupyter Notebook
11
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4

Malaria-Detection-Using-Deep-Learning-Techniques

Malaria Parasite Detection using Efficient Neural Ensembles. Malaria, a life threatening disease caused by the bite of the Anopheles mosquito infected with the parasite, has been a major burden towards healthcare for years leading to approximately 400,000 deaths globally every year. This study aims to build an efficient system by applying ensemble techniques based on deep learning to automate the detection of the parasite using whole slide images of thin blood smears.
Jupyter Notebook
10
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5

Bio-Medical-Image-Analysis-with-DICOMs

Understanding the biomedical coordinate systems and DICOM format for deep learning medical image analysis
Jupyter Notebook
7
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6

Python-GUI-with-PySimpleGUI

Exploring & Creating GUI based apps using PySimpleGUI. Details about PySimpleGUI module can be found @ https://pypi.org/project/PySimpleGUI/
Python
3
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7

Tic-Tac-Toe-using-PySimpleGUI

tic-tac-toe Game using PySimpleGUI
Python
2
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8

Geely-Auto---Linear-Regression

In this analysis we build a multiple linear regression model for the prediction of car prices.
Jupyter Notebook
2
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9

Covid-19---A-Geo-Statistical-Analysis

A comprehensive analysis on the spread of the corona virus worldwide. The statistical analysis shows the spread using interactive charts and figures. The geographical analysis shows the spread of the virus on the geographical map of the majorly affected countries and highlighting the places with highest incidence rate.
Jupyter Notebook
2
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10

Telecom-Churn-Rate-Analysis

In the telecom industry, customers are able to choose from multiple service providers and actively switch from one operator to another. In this highly competitive market, the telecommunications industry experiences an average of 15-25% annual churn rate. Given the fact that it costs 5-10 times more to acquire a new customer than to retain an existing one, customer retention has now become even more important than customer acquisition.
Jupyter Notebook
2
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11

AI-ML-Learnings-eBooks

A repository for all AI ML learning and research papers from various resources.
1
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12

EfficientNet-Image-classification-via-fine-tuning-with-EfficientNet

Use EfficientNet with weights pre-trained on imagenet for Stanford Dogs classification.
Jupyter Notebook
1
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13

NotepadPy-using-PySimpleGUI

A notepad like application developed using the Python and PySimpleGUI framework.
Python
1
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14

POS-TAGGING-NLP

HMMs and Viterbi algorithm for POS tagging.
Jupyter Notebook
1
star
15

Covid-19-Detection-using-Deep-Learning

An AI and Deep Learning based solution to help diagnose the presence of Covid-19 infection by analyzing the chest X-Ray images.
Jupyter Notebook
1
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16

Inception---Going-Deeper-with-Convolutions

Inception - Going Deeper with Convolutions
Jupyter Notebook
1
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17

Lending-Club-Case-EDA

This analysis will give an idea about how real business problems are solved using EDA. Is this analysis we not only apply the various EDA techniques, but will also develop a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.
Jupyter Notebook
1
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