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Diptanshu Singh's Projects

etc3550slides icon etc3550slides

Slides for a forecasting course based on "Forecasting: Principles and Practice"

fbtracert icon fbtracert

Identify the network components that drops packets by employing the traceroute logic which explores multiple parallel paths.

fpp3_slides icon fpp3_slides

Slides to accompany Forecasting: Principles and Practice, 3rd edition

gobgp icon gobgp

BGP implemented in the Go Programming Language

gobgp_ls icon gobgp_ls

Added BGP-Linkstate Address Support in GoBGP

gomphs icon gomphs

A tool to ping multiple hosts at once with a CLI and web-based overview

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

introstatlearn icon introstatlearn

Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.

isi_workshop_2019 icon isi_workshop_2019

Materials for 1-day workshop on high dimensional time series analysis at ISI 2019

isl-python icon isl-python

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

islr-python-1 icon islr-python-1

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

l3vpniosxr_junos icon l3vpniosxr_junos

Script to generate configs for IOS XR and JunOS and push the configs to IOS XR and JunOS

lazypredict icon lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

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