akilelkamel Goto Github PK

202420-cpis342

Repository for lab handout of the CPIS342- Data Warehousing and Mining course

akilelkamel.github.io

Personal website of Akil Elkamel

applied-machine-learning-ensemble-modeling-live-training

Live Training Session: Applied Machine Learning:Ensemble Modeling

arabic-characters-recognition

Arabic Handwritten Characters Recognition using Deeplearning4j

autods

bert

TensorFlow code and pre-trained models for BERT

brand-analysis-using-social-media-data-in-r-live-training

Live Training Session: Brand Analysis using Social Media Data in R

cleaning-data-in-r-live-training

Live Training Session: Cleaning Data in R

community-courses-reading-data-into-r-with-readr

Reading Data into R with readr by Hadley Wichkam [OPEN]

covid-19-eda-tutorial

This tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and how to explore it using some foundational packages in the Scientific Python Data Science stack.

covid-20

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

covid19

Read and analyse the numbers of confirmed, recovered and deaths cases of corona virus COVID-19

creating-dashboards-in-shiny-r-live-training

Live Training Session: Creating Dashboards with Shiny R

cs231n.github.io

Public facing notes page

data-cleaning-with-pyspark-live-training

Live Training Session: Cleaning Data with Pyspark

data-science-at-scale

A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).

deep-learning

dlaicourse

Notebooks for learning deep learning

dwm

erum2020program

e-Rum2020 program and materials

fssp-dataset

Dataset for the flow shop scheduling problem

lire

Open source library for content based image retrieval / visual information retrieval.

machine-learning-with-scikit-learn-live-training

Live Training Session: Machine Learning with Scikit Learn

machine-learning-with-xgboost-live-training

Live Training Session: Machine Learning with XGboost

market-basket-analysis-in-python-live-training

Live Training: Market Basket Analysis in Python

mnist-classification

Classification of the mnist dataset using a variety of classifiers with R and Python

models

Models built with TensorFlow

nltk-spacy

Differences between NLTK and Spacy

osemnr

osemnR is a workflow for data science projects using R.

python-live-training-template