Pinned Repositories
air-score
Data analysis and prediction on airline customer satisfaction
Cloud-Computing
This is repository has all files and instruction needed for cloud computing class.
Colors
Created a custom color palette, inspired by Vincent Van Gogh's works. It consists of a qualitative scale, two sequential scales, and a diverging scale. The creation of these scales adheres to principles of color theory and accessibility, ensuring usability across various forms of color vision deficiencies.
deep-learning
Guide for Deep-Learning
Deep-Learning-Main
This is repository has all files and instruction needed for deep learning class.
DepthArt
DepthArt: From Snapshot to Landscape
DO101-apps
eBook-data-analysis
The eBook Market Boom in India
FinalProject-Group3
stock-sense
We use sentiment analysis to gauge the market mood and make predictions based on time series data.
parv-bhargava's Repositories
parv-bhargava/DepthArt
DepthArt: From Snapshot to Landscape
parv-bhargava/FinalProject-Group3
parv-bhargava/stock-sense
We use sentiment analysis to gauge the market mood and make predictions based on time series data.
parv-bhargava/air-score
Data analysis and prediction on airline customer satisfaction
parv-bhargava/Cloud-Computing
This is repository has all files and instruction needed for cloud computing class.
parv-bhargava/Colors
Created a custom color palette, inspired by Vincent Van Gogh's works. It consists of a qualitative scale, two sequential scales, and a diverging scale. The creation of these scales adheres to principles of color theory and accessibility, ensuring usability across various forms of color vision deficiencies.
parv-bhargava/deep-learning
Guide for Deep-Learning
parv-bhargava/Deep-Learning-Main
This is repository has all files and instruction needed for deep learning class.
parv-bhargava/DO101-apps
parv-bhargava/eBook-data-analysis
The eBook Market Boom in India
parv-bhargava/parv-bhargava
parv-bhargava/query-quirks
"QueryQuirks" is a GitHub project that focuses on the peculiar aspects or "quirks" of database queries by analyzing the performance of databases like SQL, MongoDB, Neo4J, and Hadoop. It benchmarks these systems using Python, focusing on efficiency metrics such as time, memory, and CPU usage, and offers insights for database optimization.
parv-bhargava/rate-me
A Web application that estimates your app's rating in google play store based on the features you decide
parv-bhargava/streamify
Established infrastructure and pipelines for analysing data from streaming services, simulated music streaming data, orchestrated data movement with Apache Spark, Terraform, Apache Airflow, and dbt, enabling data-driven insights on a dashboard.
parv-bhargava/swarm-pro-max
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
parv-bhargava/teaching