vadthyavath

image
  • 2923
    Rank
  • 5
    Points

  • Badges

  • Likes

  • Hackathon
  • 0
    Articles

Badges

No badges found from Blog

No badges on discuss

x 1

Top 3

x 2

Top 10

About vadthyavath

Member Since Oct. 4, 2015, 9:35 p.m.
Location Bangalore
Area of Interest python, machine learning, deep learning, statistics, spark), big data (hadoop

Activity

No blogs found

No Discussions found

Participated in Skilltest: k-Nearest Neighbor (kNN) and secured rank 3
Participated in #AVdatafest SkillPower: Probability and secured rank 130
Participated in Skilltest: Tree Based Models and secured rank 49
Participated in #AVdatafest Xtreme ML Hack : Machine Learning Hackathon and secured rank 72
Participated in #AVdatafest SkillPower: Deep Learning and secured rank 10
Participated in SVM Skilltest and secured rank 27
Participated in Fractal Analytics Hiring Hackathon and secured rank 59
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 WEBINAR: The Importance Of Building The Right Problem Statement In Data Science
Participated in Experiments With Data
Participated in Skilltest: Statistics
Participated in Black Friday Sales Prediction
Participated in Webinar on AI - The Secret Sauce of Logistics
Participated in Mind Your Strategy
Participated in AV Casino : Introduction to Probability
Participated in Loan Prediction
Participated in Strategic Sprint
Participated in Skilltest: Clustering and secured rank 8
Participated in Skilltest: Dimensionality Reduction
Participated in Practice Problem: Skilltest - Machine Learning
Participated in Innoplexus Online Hackathon: Machine Learning Challenge
Participated in The Smart Recruits
Participated in AV LearnUp Bengaluru: Data Science in Healthcare
Participated in Click Prediction Hackathon
Participated in The Bots Are Here (Bengaluru Meetup)
Participated in New Frontiers In Deep Learning, (Meetup: Bangalore)
Participated in Big Mart Sales Prediction
Participated in LTFS Data Science FinHack 3
Participated in DataHour: Data Modelling Demystified
Participated in DataHour: Get Started with Hadoop
Participated in DataHour: Building Cloud Native Data Pipelines
Participated in DataHour: Cloud Dataproc - Migrate and Optimize Spark Workloads
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
Support

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.

Feedback

We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.