|
Participated in
Re-Date Your Data: Learning Contest
|
|
Participated in
Date Your Data
|
|
Participated in
DataHour: Deep Dive into Kubernetes and Concepts of Containerization
|
|
Participated in
DataHour: Basics of Big Data File Formats
|
|
Participated in
DataHour: Google Cloud Vertex AI Platform
|
|
Participated in
DataHour: Apache Airflow - An Open Source Workflow Manager
|
|
Participated in
DataHour: Data Availability Through Data Lake in Large Organization
|
|
Participated in
DataHour: Caching in Data Science
|
|
Participated in
DataHour: Dataflow on Google Cloud
|
|
Participated in
DataHour: How Companies Use SQL to Extract Meaningful Insights Through Data?
|
|
Participated in
DataHour: Analyzing Data with SQL
|
|
Participated in
DataHour: Building a Web Application using Flask
|
|
Participated in
DataHour: Google Cloud No Code/Low Code AI Solutions
|
|
Participated in
DataHour: Roadmap to Data Engineering for Beginners
|
|
Participated in
DataHour: Data Architect vs Data Engineer
|
|
Participated in
DataHour: Building Effective Data Pipelines
|
|
Participated in
DataHour: Deep Dive into Airflow Components
|
|
Participated in
DataHour: An Introduction to Spark for Data Engineering
|
|
Participated in
DataHour: Optimizing Real-Time ML Inference with Nvidia Triton Inference Server
|
|
Participated in
DataHour: Making Data Pipelines Easy with Dataproc and Composer
|
|
Participated in
DataHour: Introduction to Docker
|
|
Participated in
DataHour: Data Engineering - Tools and Techniques
|
|
Participated in
DataHour: Build Apache Nifi using Serverless Cloud Infrastructure
|
|
Participated in
DataHour: Data Engineering in a Nutshell
|
|
Participated in
Big Mart Sales Prediction
|
|
Participated in
Loan Prediction
|
|
Participated in
What's your story?
|
|
Participated in
#AVdatafest PowerTool: Python for Data Science
|
|
Participated in
McKinsey Hiring Hack
|
|
Participated in
DataHour: Data Modeling Concepts
|
|
Participated in
DataHour: An Introduction to AWS EMR
|
|
Participated in
DataHour: Introduction To BigQuery ML
|
|
Participated in
DataHour: Getting Started with Big Data
|
|
Participated in
DataHour: MLOps - The Practical Implications Going Forward
|
|
Participated in
DataHour: When Airflow Meets Kubernetes - An Introduction to MLOps
|
|
Participated in
DataHour: Data Engineering with Databricks
|
|
Participated in
DataHour: Data Warehouse and its importance in Data World
|
|
Participated in
DataHour: Predicting Road Quality using AI - An MLOps Demo Pipeline
|
|
Participated in
DataHour: SQL - Intermediate to Advanced
|
|
Participated in
DataHour: Big Data Architecture and the Best Practices on AWS
|
|
Participated in
DataHour: Introduction to Dimensional Data Modelling
|
|
Participated in
DataHour: Advance SQL - Analytics/Windows Functions
|
|
Participated in
DataHour: Cloud Dataproc - Migrate and Optimize Spark Workloads
|
|
Participated in
DataHour: Building Cloud Native Data Pipelines
|
|
Participated in
DataHour: Data Modelling Demystified
|
|
Participated in
DataHour: Get Started with Hadoop
|
|
Participated in
DataHour: An Introduction to Apache Airflow
|
|
Participated in
DataHour: An Introduction to Big Data Processing using Apache Spark
|
|
Participated in
DataHour: Google BigQuery - The Modern Cloud Data Warehouse
|
