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ai_projects

analyzing-website-landing-page-a-b-test-results-

Conducted hypothesis testing in python to find out whether the new website landing page has higher users’ convert rate than old page using Pandas and Matplotlib

awesome-federated-computing

:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.

awesome-federated-learning

A collection of research papers categorized into broad topics in federated learning.

awesome-federated-learning-1

Federated Learning related materials, including papers, articles, frameworks, and courses etc.

awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

awesome-online-machine-learning

:bookmark_tabs: A curated list of online machine learning courses, software, and papers

awesome-public-datasets

A topic-centric list of HQ open datasets.

cca175-exam-preparation

Cloudera CCA175 Spark and Hadoop Developer exam preparation

cca175-practice-tests-with-solutions

Solutions to the practice tests provided at http://nn02.itversity.com/cca175/ by ITVersity.

cca175practicecode

Repository to capture all Practice code and examples for "CCA Spark and Hadoop Developer Certification - Cloudera" (CCA175) Exam.

ckad-exercises

A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation

cloudera_material

Cloudera_Material: Study Material to help people preparing for Cloudera CCA Spark and Hadoop Developer Exam (CCA175). Feel free to collaborate.

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

compute-hadoop-java-python

This software demonstrates one way to create and manage a cluster of Hadoop nodes running on Google Compute Engine.

covid-19

A collection of work related to COVID-19

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-19-mt

Data about Covid-19 cases in Malta (EU)

covid-r-example

covid19

covid19_ons_mortality

Descriptive analysis of trends in deaths

cpg

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

credit-card-fraud-detection

It is Based on Anamoly Detection and by Using Deep Learning Model SOM which is an Unsupervised Learning Method to find patterns followed by the fraudsters.

credit-card-fraud-detection-1

Credit Card Fraud Detection Using Machine Learning. By creating a pipeline.

credit-card-fraud-detection-using-autoencoders-in-keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

data_science_fundamentals

decentml

Decentralized machine learning

deviation-network

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised approach

edan95-applied-machine-learning

federated-credit-default

This project uses federated ML to calculate the credit default risk of customers from two different databases.