Deepansh Khurana's repositories
amazon-athena-to-pandas-dataframe
A Python function for fetching Amazon Athena query results as Pandas DataFrame.
cloudSimplifieR
Simple helper functions to fetch and read data from various formats stored on Amazon AWS S3 Buckets. Most functions are essentially wrapping over cloudyR.
udacityproject-speechrecognition
This is the final project for the Udacity NLP Nanodegree. Here, we're recognizing speech by analysing spectrograms and applying machine learning to the spectrograms.
aws-r-quick-fetch-code
This is a simple mechanism to quickly fetch most popular data formats in R using the cloudyR aws.s3 library
case-study-global-sales
This is a time series analysis and forecasting case study done for a global sales superstore. This was a grouped assignment for the Upgrad IIIT Bangalore, PGDDS programme.
case-study-loan-default-risk
This is a group case study project for the PGDDS program offered by IIIT, Bangalore and Upgrad. Here, we are trying to find whether a given person will default on a loan or not. This is done truly using Exploratory Data Analysis and other techniques. The case study is done in R.
custom-tippy-r
A custom implementation for tippy.js
eda-uber-supply-demand-gap
This was a case study for the PGDDS course from IIIT, Bangalore and Upgrad. Here, we're trying to find the supply demand gap between Uber rides to and from the airport for a given city using a given dataset. The project is done in R.
reverse-geolocate-r
A simple function to reverse geolocate latitude and longitude in R and get a dataframe with City, State, Country, and Pin Code.
discord-oauth-rshiny
Here is a sample app to use Oauth2.0 with Discord and RShiny
facebook-birthdays
Python script to create a .csv from Facebook's Event Data to list Birthdays.
GanttCharts
Simple plotly example to build a gantt chart in Quarto
linear-regression-predicting-car-prices
This is an assignment for the PGDDS program offered by IIIT-Bangalore and Upgrad. Here, we are trying to predict car prices based on a variety of independent variables given a dataset.
ml-practice
I'll be uploading most of my machine learning practice notebooks here.
PositTableContest2024
Entry for Posit Table Content 2024
r-library-setup
A simple script to setup libraries for data processes in R.
Sentiment-analysis-app
Udacity deep learning nanodegree project to build recurrent neural network to determe the sentiment of a movie review using the IMDB data set.
shinyapp-k-means-iris
This is a simple Shiny app to show K-Means clustering done on the Iris dataset. This dataset is a popular dataset that consists of attributes for three kinds of flower species.
udacity-data-structures
Complete project work for the Udacity Data Structures and Algorithms nanodegree.
udacityproject-creating-customer-segments
This is the final project for the First Term of the Machine Learning Nanodegree by Udacity. Here, we are trying to implement unsupervised learning to create customer segments for a given retail dataset.
udacityproject-finding-donors-for-charityml
This is a Udacity Project for the Machine Learning Nanodegree. Here, we are working for a fictional organisation called CharityML and finding the potential donors using their dataset. This uses sklearn.
udacityproject-hmm-tagger-nlp
This is a project for the NLP Nanodegree offered by Udacity. The hmm tagger defines parts of speech tagging using pomegranate and other libraries.
udacityproject-machinetranslation
This is a Udacity project for the NLP Nanodegree that translates sentences from english to french.
udacityproject-ml-customersegmentation
Udacity Project for unsupervised learning to identify customer segments in a given dataset.
udacityproject-ml-imageclassifier
Udacity Project to build an Image Classifier using PyTorch.
udacityproject-ml-plagiarismdetector
Udacity Project to use Sagemaker and develop a plagiarism detector model.
udacityproject-ml-sentimentanalysis
Udacity Project to use Sagemaker and AWS Lambda and API Gateway to deploy a Sentiment Analysis model built using PyTorch.
udacityproject-prediciting-boston-housing-prices
This is a Udacity Project for the Machine Learning Nanodegree. Here, we are trying to predict Boston Housing Prices using sklearn.