spanner4715

Automation-tool

AWS-Hive-implementation

Integrating PySpark with Apache Hive to perform ETL(Extract-Transform-Load) and ELT(Extract-Load-Transform) operations

Build-A-Streaming-Data-Pipeline-by-using-Azure-Stream-Analytics

Building a pipeline in Azure platform by using Azure Stream Analytics, Azure Event Hub, and Azure SQL database to perform data analysis on the transportation dataset, then creating an interactive dashboard in Power BI.

CI-CD-search-engine

CI/CD pipeline for search model (Jenkins)

Data-pipeline-in-Azure-and-use-Synapse-Analysis

Analyze the 2021 Olympics dataset, which includes the information of participating Teams, Athletes, Coaches, and Entries by gender

Design-a-Data-Warehouse-for-analysing-E-Commerce-shopping-pattern

Creating an AWS EC2 instance, use docker to apply tools SQL, Sqoop, Spark, and Hive to ingest, transform and analyze data

IRP-Trust-Prediction-Deploy-by-FlaskAPI

Applying multi-classification algorithm to figure out high accuracy model and creating API to deploy it

Movies-Data-Processing-with-Spark-SQL-using-Scala-on-AWS-EC2

Analyzing the Movies and Ratings Dataset by using Spark SQL and Scala programming language

NLP--room-service-chatbot

Use NLTK libraries to build a text classification chatbot

Retail-price-optimization

Implementing OLE model to estimate unknown parameter in linear regression and evaluate the max profit through price elasticity

spanner4715/Design-a-Data-Warehouse-for-analysing-E-Commerce-shopping-pattern

Creating an AWS EC2 instance, use docker to apply tools SQL, Sqoop, Spark, and Hive to ingest, transform and analyze data

spanner4715/Movies-Data-Processing-with-Spark-SQL-using-Scala-on-AWS-EC2

Analyzing the Movies and Ratings Dataset by using Spark SQL and Scala programming language

spanner4715/Retail-price-optimization

Implementing OLE model to estimate unknown parameter in linear regression and evaluate the max profit through price elasticity

spanner4715/Automation-tool

spanner4715/AWS-Hive-implementation

Integrating PySpark with Apache Hive to perform ETL(Extract-Transform-Load) and ELT(Extract-Load-Transform) operations

spanner4715/Build-A-Streaming-Data-Pipeline-by-using-Azure-Stream-Analytics

Building a pipeline in Azure platform by using Azure Stream Analytics, Azure Event Hub, and Azure SQL database to perform data analysis on the transportation dataset, then creating an interactive dashboard in Power BI.

spanner4715/CI-CD-search-engine

CI/CD pipeline for search model (Jenkins)

spanner4715/Data-pipeline-in-Azure-and-use-Synapse-Analysis

Analyze the 2021 Olympics dataset, which includes the information of participating Teams, Athletes, Coaches, and Entries by gender

spanner4715/IRP-Trust-Prediction-Deploy-by-FlaskAPI

Applying multi-classification algorithm to figure out high accuracy model and creating API to deploy it

spanner4715/NLP--room-service-chatbot

Use NLTK libraries to build a text classification chatbot

spanner4715/Create-Scalable-CD-CI-pipeline-to-deploy-ML-model--by-using-Azure-Devops

Create a CI/CD pipeline of the Azure DevOps, enables Machine learning app runs faster

spanner4715/Deploy-Mongo-Express-and-MongoDB

spanner4715/E-commerce-online-microservices-deployment-Helm-

spanner4715/Flask-API-example-with-ML-model-GCP

spanner4715/github-actions-python-test

spanner4715/github-actions-test

spanner4715/Group-project-CNN_Doornumber_classification

Build CNN model to make classification in image

spanner4715/java-maven-app

spanner4715/my-project

spanner4715/pvc-autoscaler

PVC Autoscaler is an open-source project aimed at providing autoscaling functionality to Persistent Volume Claims (PVCs) in Kubernetes environments.

spanner4715/Real-time-log-analysis-with-Spark-streaming-and-Kafka

Real-time log analysis with the visualization web app

spanner4715/Recommender-system-built-by-using-Collaborative-filtering-algorithm

Use a ratings dataset to build a product recommendation system using collaborative filtering

spanner4715/Store_sales_prediction-Kaggle-

Use a set of regression model to evaluate the correlation parameters with "sales", R-squared value & Mean Absolute Error are used for assessing model performance

spanner4715/Terraform_aws

spanner4715/terraform_aws_ecs

spanner4715/Using-AWS-S3-and-MySQL-to-build-a-data-pipeline-and-perform-ETL

Build a data pipeline and perform ETL operations by using AWS S3 and MySQL

spanner4715/Website-Monitoring-using-AWS-Lambda-and-Aurora

Real-time monitoring of websites using AWS services