Discover @ryankarlos Open Source projects

Ryan Nazareth (@ryankarlos)

ryankarlos

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Global Rank 283,689 (Top 10 %)
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Registered almost 9 years ago
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Python
53.8 %

Jupyter Notebook
15.4 %

R
7.7 %

PLSQL 3.8 %

MATLAB
3.8 %

JavaScript
3.8 %

TSQL 3.8 %

HCL 3.8 %

HTML
3.8 %
Location 🇬🇧 United Kingdom
Country Total Rank 11,668
Country Ranking

PLSQL 48

TSQL 91

MATLAB
273

HCL 754

R
1,056

Jupyter Notebook
2,345

Python
4,129

HTML
5,705

Human-Resource-Analytics

Predicting if the best and most experienced employees leave prematurely - Kaggle Human Resource Analytics dataset using SVM and Multi Layer Perceptron with backpropagation

House-Prices-Advanced-Regression

Regression modelling (Lasso, Ridge, xgboost, SVR) and exploratory analysis of Ames, Iowa dataset. Also contains exploratory analysis of London House prices in Tableau

neo4j-intermediate-cypher-ds

tensorflow-dev-certification-practice

this repo contains scripts built in pycharm from coursera course in prep for the google tensorflow dev certification exam

Sports-Analytics-NBA

Kobe Bryant shot prediction using PCA and the Random Forest model and exploratory analysis in python. Includes a detailed report

ssis_demo

demonstration of using ssis for etl

Explainable_AI

Explaining machine learning model prediction using lime on two datasets: Image classification on Food 101 dataset and Customer churn for a telco company

Jupyter Notebook

AWS-Sagemaker

Trying out different AWS Services as practical prep for the AWS ML Certification

AWS-VPC

Short project to illustrate the various AWS VPC related components/services available

ryankarlos.github.io

Geographically-Weighted-Regression-and-Clustering

GIS project - Use of geographically weighted regression and k-means clustering in R to investigate patterns of wellbeing in London in 2011. Includes use of shapefiles, spatial data frames and output layers for the Office for National Statistics

databricks_spark_certification

Prep for the databricks spark 3 certification

ORM_Oracle-SQL

GCP-Batch-Processing

Details some work on batch processing within Google Cloud Platform that I carried out as part of a Hackathon.

networks_algos

Jupyter Notebook

terraform_cert_prep

tsqlt_demo

demo examples of setting up and using tsqlt

AWS-ETL-Workflows

Examples of architectures using a number of database, compute and etl services in AWS

ryankarlos

AWS-ML-services

Practical use of a number of AWS automl services

cookiecutter-mle-template

FastAPI-example-ml

Examples of deploying and hosting a Machine Learning Model with FastAPI

AWS-DeepRacer

Participation in AWS Deep Racer Competition

GrantNav_Tableau

Visualisation Dashboard in Tableau created for the 350Giving Data Visualisation Challenge Fund submission

DataViz_with_Javascript

A number of projects/visualisations built with D3js and Highcharts

aws-dev-associate-cert-prep

Preparation material for the AWS Developer Associate Certification

Recommender-System-Demo

Demo i gave on building recommender system for movie lens dataset using Surprise and AWS Personalise

Jupyter Notebook

AWS-CICD

Examples of setting up CI-CD pipelines using AWS code pipeline for software delivery automation. Using CodeCommit, CodeBuild and CodeDeploy for versioning, building, testing and deploying applications in the cloud.

Distributed_processing

Analysis of different libraries for distributed processing in python e.g. concurrent threading and multiprocessing, dask, vaex, pyspark etc

Jupyter Notebook