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Participated in
Data Science Hackathon: Churn Prediction
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Participated in
DataHour: Deep Dive into Kubernetes and Concepts of Containerization
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Participated in
DataHour: Basics of Big Data File Formats
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Participated in
DataHour: Google Cloud Vertex AI Platform
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Participated in
DataHour: Apache Airflow - An Open Source Workflow Manager
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Participated in
DataHour: Data Availability Through Data Lake in Large Organization
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Participated in
DataHour: Caching in Data Science
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Participated in
DataHour: Dataflow on Google Cloud
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Participated in
DataHour: How Companies Use SQL to Extract Meaningful Insights Through Data?
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Participated in
DataHour: Analyzing Data with SQL
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Participated in
DataHour: Building a Web Application using Flask
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Participated in
DataHour: Google Cloud No Code/Low Code AI Solutions
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Participated in
DataHour: Roadmap to Data Engineering for Beginners
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Participated in
DataHour: Data Architect vs Data Engineer
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Participated in
DataHour: Building Effective Data Pipelines
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Participated in
DataHour: Deep Dive into Airflow Components
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Participated in
DataHour: An Introduction to Spark for Data Engineering
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Participated in
DataHour: Optimizing Real-Time ML Inference with Nvidia Triton Inference Server
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Participated in
DataHour: Making Data Pipelines Easy with Dataproc and Composer
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Participated in
DataHour: Introduction to Docker
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Participated in
DataHour: Data Engineering - Tools and Techniques
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Participated in
DataHour: Build Apache Nifi using Serverless Cloud Infrastructure
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Participated in
DataHour: Data Engineering in a Nutshell
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Participated in
Data Science Hackathon - Cross-sell: target the right customer
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Participated in
DataHour: Data Modeling Concepts
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Participated in
DataHour: An Introduction to AWS EMR
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Participated in
DataHour: Introduction To BigQuery ML
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Participated in
DataHour: Getting Started with Big Data
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Participated in
DataHour: Building Machine Learning Models in BigQuery
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Participated in
DataHour: A Day in the Life of a Data Scientist
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Participated in
DataHour: Classification ML Model from Scratch
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Participated in
DataHour: ETL Pipelines in GCP
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Participated in
DataHour: DCNN for Machine RUL Prediction using Time-series Data
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Participated in
DataHour: Knowledge Graph Solutions using Neo4j
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Participated in
DataHour: Key steps for Designing Convolutional Neural Network(CNN) for Image Classification
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Participated in
DataHour: Practical Time Series Analysis
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Participated in
DataHour: NLP aspects in Telecommunication Industry
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Participated in
DataHour: Intelligent Knowledge Mining with Azure NLP and Graph databases
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Participated in
DataHour: Visualizing Data using Python
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Participated in
DataHour: Getting Started with AWS EC2
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Participated in
DataHour: Model Guesstimation (MLOps)
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Participated in
DataHour: An Unsupervised ML approach using Clustering
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Participated in
DataHour: M in ML stands for Math & Magic
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Participated in
DataHour: Model Parameters vs Hyperparameters - Techniques in ML Engineering
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Participated in
DataHour: Customizing Large Language Models GPT3 for Real-life Use Cases
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Participated in
DataHour: When Airflow Meets Kubernetes - An Introduction to MLOps
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Participated in
DataHour: Data Engineering with Databricks
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Participated in
DataHour: Data Warehouse and its importance in Data World
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Participated in
DataHour: Predicting Road Quality using AI - An MLOps Demo Pipeline
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Participated in
DataHour: SQL - Intermediate to Advanced
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Participated in
DataHour: Big Data Architecture and the Best Practices on AWS
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Participated in
DataHour: Introduction to Dimensional Data Modelling
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Participated in
DataHour: Advance SQL - Analytics/Windows Functions
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Participated in
DataHour: Cloud Dataproc - Migrate and Optimize Spark Workloads
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Participated in
DataHour: Building Cloud Native Data Pipelines
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Participated in
DataHour: Data Modelling Demystified
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Participated in
DataHour: Get Started with Hadoop
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Participated in
DataHour: An Introduction to Apache Airflow
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Participated in
DataHour: An Introduction to Big Data Processing using Apache Spark
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Participated in
DataHour: Google BigQuery - The Modern Cloud Data Warehouse
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