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applied-machine-learning

A step-by-step guide to get started with Applied Machine Learning

applied_stats_project1

Applied Statistics Project 1

applied_stats_project2

Applied ML Project 2

approachingalmost

Approaching (Almost) Any Machine Learning Problem

azure-platform-automation-example

This repository contains an example Concourse pipeline to deploy PCF on Azure using Platform Automation. First we will walk you through the install of Concourse using Pivotal Control Plane.

cdsw-training

Example Python and R code for Cloudera Data Science Workbench training

cdsw_amp_cpu-only-mistral7b-chatbot

CDSW compliant version of CDF to CML Mistral 7B chatbot AMP

cloud-native-workshop

win w/ Spring Boot, Spring Cloud and Cloud Foundry

cml-training

Example Python and R code for Cloudera Machine Learning (CML) training

cml_amp_intelligent-qa-chatbot-with-nifi-pinecone-and-llama2

The prototype deploys an Application in CML using a Llama2 model from Hugging Face to answer questions augmented with knowledge extracted from the website. This prototype introduces Pinecone as a database for storing vectors for semantic search.

cml_chatbot

Git Repo for CML Chatbot

cml_churn_demo_cdppvc

cml_churn_demo_mlops

cms-medicare-data-fraud-detection

CMS Medicare Fraud Detection

cmsfraudanalysis

A quick analysis of the 2013 CMS billing data for outliers/potential fraud.

cookbook

The Data Engineering Cookbook

data-mining-final-project

dataminingnotebooks

This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.

datascience_camp

deep-learning-model-for-photo-caption-computer-vision-and-nlp-

device-failure-analysis

Example analysis using anonymous device failure logs

ds7374

Final project for Business Analytics

ds_6120_6130_capstone_anand_ben_tej

Capstone project for Data Science @ SMU

dse220_machine_learning

Repo for my graduate data science machine learning class at UCSD (UC San Diego). This course provides a broad introduction to the practical side of machine-learning and data analysis. The topics covered in this class include topics in supervised learning, such as k-nearest neighbor classifiers, decision trees, boosting and perceptrons, and topics in unsupervised learning, such as k-means, PCA and Gaussian mixture models.

dso-599-text-analytics-nlp

Course repository for DSO599: Text Analytics & Natural Language Processing at USC Marshall

edge2ai-workshop

Edge2AI Workshop

fastai

The fastai deep learning library, plus lessons and and tutorials

frauddetection

A small working demo of a possible fraud detection algorithm, that is designed to catch fraud by service providers such as healthcare providers. All data is fictional.

gcp-essentials

Example gcloud statements for GCP services

gcp-ml-sentiment

Demo Spring Boot app which uses the Google Cloud Platform's Vision, BigQuery, and Storage services/APIs