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gwas

Scripts for GWAS association and metaanalysis

gwa_tutorial

A comprehensive tutorial about GWAS and PRS

handle-imbalanced-dataset

hap.py

Haplotype VCF comparison tools

happi_gwas

A genome-wide association study (GWAS) tool written in R

health-app

healthchecks

A Cron Monitoring Tool written in Python & Django

heartdiseaseprediction

The project involved analysis of the heart disease patient dataset with proper data processing. Then, 6 models were trained and tested with maximum scores as follows: 1)K Neighbors Classifier: 87% 2)Support Vector Classifier: 83% 3)Decision Tree Classifier: 79% 4)Random Forest Classifier: 84% 5)Logistic Regression:84% 6)Naive Bayes:80% In the end, K Neighbors Classifier achieved the highest score of 87% with 8 nearest neighbors.

her2-classify

Deep Learning for Automated HER2 Biomarker Scoring for Breast Cancer using Digital Pathology MIcroscope Images

heroku-demo

hidden-layers-neurons

hierarchical-clutsering

histogram-probability-distribution-in-python

Histogram probability density function in Python

home-credit-default-risk-recognition

The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian optimization.

how-to-build-own-text-summarizer-using-deep-learning

In this notebook, we will build an abstractive based text summarizer using deep learning from the scratch in python using keras

huggingfacetransformer

hyperparameter-optimization

image-processor

Desktop app that does histogram equalizaton written in Python

image-search-engine

End-to-end image search engine based on the Deep learning techniques.

image-webscrapper

imbalanceddatasetproject

Machine Learning Project on Imbalanced Data in R

indeed-python-scraper

Scrapes indeed for user inputted job title and location, gathers the complete job summary and creates frequency wordcloud

infographic

Infographic

insurance-claim-in-r

Car Insurance Claims Classification using Conditional Decision Inference Trees and Extreme Gradient Boosting. Includes optional Synthetic minority oversampling (SMOTE) option

insurancefrauddetection

integrative-deep-learning-for-identifying-differentially-expressed-de-biomarkers

Integrative deep learning for identifying differentially expressed(DE) biomarkers

interactive-modelling-with-shiny

R Shiny to build an app for data exploration, interactive model building app, identifying variable importance and predicting

interview-prepartion-data-science

iris-r-heroku

Deploying the iris predictor web app built with R shiny on Heroku

k-means-clustering