karajkhosla
MSc Computer Science @ University of Stuttgart Computer Science | Data Science | Statistics | Machine Learning | Research
Germany
Pinned Repositories
awesome-twitter-data
A list of Twitter datasets and related resources.
bayesian-belief-networks
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
CheckinVis
COVID--19-Analysis
FIFA-Analysis-Regression-Analysis
FIFA Analysis + Regression Analysis
Finance-and-Covid-Causality-Analysis
Granger Causality in R for finding the causality Inference between COVID-19 and NSEI Index.
Mortgage_Calculator
This is a Simple Mortgage calculator.
t-Distributed-Stochastic-Neighbor-Embedding-t-SNE-
t-Distributed Stochastic Neighbor Embedding (t-SNE) is a technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets.
Twitter-Bot-
A Twitter bot that automates several actions on Twitter, such as following users and favoriting tweets.
VLTimeSeriesCausality
A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.
karajkhosla's Repositories
karajkhosla/VLTimeSeriesCausality
A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.
karajkhosla/awesome-twitter-data
A list of Twitter datasets and related resources.
karajkhosla/CheckinVis
karajkhosla/COVID--19-Analysis
karajkhosla/FIFA-Analysis-Regression-Analysis
FIFA Analysis + Regression Analysis
karajkhosla/Finance-and-Covid-Causality-Analysis
Granger Causality in R for finding the causality Inference between COVID-19 and NSEI Index.
karajkhosla/t-Distributed-Stochastic-Neighbor-Embedding-t-SNE-
t-Distributed Stochastic Neighbor Embedding (t-SNE) is a technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets.
karajkhosla/Twitter-Bot-
A Twitter bot that automates several actions on Twitter, such as following users and favoriting tweets.
karajkhosla/R-Data-Preprocessing
R Data Preprocessing Template
karajkhosla/Andrew-Ng-Machine-Learning-Notes
The offical notes of Andrew Ng Machine Learning in Stanford University
karajkhosla/bayesian-election-prediction
karajkhosla/cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
karajkhosla/Demo-repo
karajkhosla/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
karajkhosla/DS4B-101-R-Business-Analysis
karajkhosla/dython
A set of data tools in Python
karajkhosla/GRIPInternshipTasks
karajkhosla/Karaj_Portfolio
Data Science Portfolio
karajkhosla/lambda-ds-3-2
SQL lecture notes and reference code
karajkhosla/mit-15-003-data-science-tools
Study guides for MIT's 15.003 Data Science Tools
karajkhosla/ML-Assignment-GTBIT
karajkhosla/Power-system-analysis
Natural language VD file processing library for Energy data
karajkhosla/r_cheat_sheet
Notes and examples while advancing R programming skills (snagged idea for repo from Matt Mazur)
karajkhosla/shinyBN-1
shinyBN: An online application for interactive Bayesian network inference and visualization
karajkhosla/SQL-for-Data-Analysis
✍️ Udacity SQL for Data Analysis Course Solutions and Notes along with Parch and Posey DB
karajkhosla/stanford-cme-106-probability-and-statistics
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
karajkhosla/stanford-cs-221-artificial-intelligence
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
karajkhosla/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
karajkhosla/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
karajkhosla/wiseR
A R/Shiny application for learning, reasoning, inference, validation, visualization and web-deployment of Bayesian Network Models