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30-seconds-blog

The official 30-seconds blog.

automatetexting

cheatsheets

RStudio Cheat Sheets

cocktail-party-problem

Solving the Cocktail Party Problem using ICA

code

Entire Collection Of Code Featured On The Channel

code_snippets

codee-class

LaTeX document class for typesetting submissions to the CODEE Journal.

coronavirusmodel

coursera-test

covasim

COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions

covid-19

2019 novel coronavirus repository

covid-19-analysis

Mathematical modelling of different strategies to reopen schools in the UK post COVID-19

covid-19-data

Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

covid-19-sse

covid-20

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-compliance

Computational modelling of COVID-19: A study of compliance and superspreaders (fulfillment of MCM iBSc)

covid19-sir

COVID-19 SIR model estimation

dash-by-plotly

Interactive data analytics

data_science_bootcamp

Welcome to Data Science Bootcamp Series. This repository houses the source code and other supporting artifacts related to this bootcamp series.

django-eventcalender

dlbook_notation

LaTeX files for the Deep Learning book notation

drawing-classifier

A Python application which uses machine learning classification algorithms to classify drawings of the user.

easyappointments

:date: Easy!Appointments - Open Source Appointment Scheduler

eth-summaries

fastica

fullstack-course4

Example code for HTML, CSS, and Javascript for Web Developers Coursera Course

gaussian_mixture_models

This is the code for "Gaussian Mixture Models - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube

hands-on-deep-learning-algorithms-with-python

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

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.