mvijaykishore

image
  • 6912
    Rank
  • 0
    Points

  • Badges

  • Likes

  • Hackathon
  • 0
    Articles

Badges

No badges found from Blog

No badges on discuss

No badges earned on Datahack

About mvijaykishore

Member Since July 15, 2016, 7:33 p.m.
Location Bangalore
Area of Interest R, SAS, Analytics , Project management, people manager, risk management

Activity

No blogs found

No Discussions found
Participated in Skilltest: Regression and secured rank 339
Participated in MiniHack: Machine Learning and secured rank 57
Participated in The Strategic Saviour and secured rank 85
Participated in DataHour: Industrial Application of Large Language Models like ChatGPT
Participated in DataHour: From Pixels to Insights- Practical Hands-on with Convolutional Neural Networks
Participated in DataHour: Unlocking Business Growth - The Power of Customer Segmentation
Participated in DataHour: Personalizing Demand Planning Using Scenario Analysis
Participated in DataHour: ChatGPT and the Future of NLP Systems
Participated in DataHour: Implementing Gradient Descent in Python
Participated in DataHour: Hands-on Journey to Neural Networks
Participated in DataHour: How to Build a Multi Task Model using TensorFlow
Participated in DataHour: Deep Learning for Time Series Forecasting
Participated in DataHour: Application of Data Science in Insurance Industry
Participated in DataHour: How Good is AI for Conversations?
Participated in DataHour: A Simple Guide to Deep Metric Learning
Participated in DataHour: Contrastive Learning for Image Classification
Participated in DataHour: An Introduction to Vision for Robotics
Participated in DataHour: An Overview of Computer Vision
Participated in DataHour: Data Science in Banking Industry
Participated in DataHour: Understanding Energy Industry through EDA
Participated in DataHour: Introduction to Deep Learning with FastAI
Participated in DataHour: Metrics in Tech - Using Data to Drive Business Decisions
Participated in DataHour: Solving Business Problems with Microsoft Excel
Participated in DataHour: Demystifying RCNN Family for Object Detection
Participated in DataHour: Implementing a Neural Network using Pytorch
Participated in DataHour: An Introduction to Google Vision API
Participated in DataHour: Understanding Stable Diffusion & Prompt Engineering
Participated in DataHour: Image Classification using Deep Learning Models
Participated in DataHour: Building Efficient Convolution Networks for Image Classification Tasks
Participated in Mind Your Strategy
Participated in Strategic Sprint
Participated in The Strategic Monk
Participated in Skilltest: Machine Learning
Participated in Skilltest: Ensemble Modeling and secured rank 71
Participated in Knocktober 2016
Participated in DataHour: Think like a Data Scientist
Participated in JOB-A-THON - May 2021
Participated in AmExpert 2021 – Machine Learning Hackathon
Participated in DataHour: Deploying Deep Learning model to production using FastAPI & Docker
Participated in DataHour: Improving Search Results with Semantic Search
Participated in DataHour: Efficient Implementations of Transformers
Participated in DataHour: Introduction to Network Science
Participated in DataHour: ML oops to MLOps!
Participated in DataHour: SQL- One of the Key Ingredients for Data Science
Participated in DataHour: Data Management and AI
Participated in DataHour: Introduction to Optimization Problems for Data Scientists
Participated in DataHour: MLOps—DevOps for Machine Learning
Participated in DataHour: Deep Dive into Graph Neural Nets for Content NLP
Participated in DataHour: Next Leap - Data Science Adoption to Application
Participated in DataHour: Building AI Applications in Minutes
Participated in DataHour: Bias and Fairness in NLP
Participated in DataHour: Real-world Applications of Data science
Participated in DataHour: Feature Engineering on Images using Convolutional Neural Networks(CNN)
Participated in DataHour: Understanding Search Query
Participated in DataHour: Smart Machine Learning Solution Based on Ontology and Knowledge Graph
Participated in DataHour: Computer Vision Landscape
Participated in DataHour: Making Sense of Clinical Text Data at Scale with NLP
Participated in DataHour: Understanding AWS Virtual Private Cloud(VPC) Concepts
Participated in DataHour: Analyzing Movie Data using MongoDB
Participated in DataHour: Designing an end-to-end Neural Search Pipeline with Similarity Learning
Participated in DataHour: Data Visualization using Python
Participated in DataHour: Introduction to Explainable AI (XAI)
Participated in DataHour: Leveraging GCP Vertex AI for Machine Learning
Participated in DataHour: Quantum Computing Simulator Acceleration
Participated in DataHour: Stirring up Data Science with SQL
Participated in DataHour: Prediction to Production in Machine Learning
Participated in DataHour: Trees of Data Science
Participated in DataHour: Dynamic Time Warping for Time Series Classification
Participated in DataHour: Deep Dive into Practical Machine Learning with Career Insights
Participated in DataHour: Data Operations on Azure
Participated in DataHour: Jumpstart your Career with AWS AI/ML
Participated in DataHour: Nirvana State of MLOps
Participated in DataHour: Introduction to GAN - A Practical Approach
Participated in DataHour: Product Oriented Data Scientists
Participated in DataHour: Key steps for Designing Deep Neural Network and its scope in Industry
Participated in DataHour: Anomaly detection using NLP and Predictive Modeling
Participated in DataHour: Data Science in Retail
Participated in DataHour: Data Science Data management using Pandas
Participated in DataHour: Mitigating Bias in Machine Learning
Participated in DataHour: Google Cloud AI/ML
Participated in DataHour: Forecasting Stories
Participated in DataHour: Energy Data Science - Project From Scratch
Participated in DataHour: Explainable AI - Need and Implementation
Participated in DataHour: Getting Started with EDA tools - Numpy and Pandas
Participated in DataHour: Practical Applications of Data science in Ecommerce
Participated in DataHour: The Fundamentals of Quantum Computing
Participated in DataHour: How to tackle Overfitting?
Participated in DataHour: Hands-on with A/B Testing
Participated in DataHour: Key steps for Designing Artificial Neural Network (ANN) for Image classification
Participated in DataHour: Building Data Pipelines on GCP
Participated in DataHour: Modern Deep Learning Architecture
Participated in DataHour: 5 things you should know about Azure SQL
Participated in DataHour: Prediction to Production in Machine Learning
Participated in DataHour: Time Series analysis using LSTM
Participated in DataHour: AI & ML in the Automotive Industry
Participated in DataHour: ETL Pipelines in GCP
Participated in DataHour: Knowledge Graph Solutions using Neo4j
Participated in DataHour: Practical Time Series Analysis
Participated in DataHour: Building Machine Learning Models in BigQuery
Participated in DataHour: Key steps for Designing Convolutional Neural Network(CNN) for Image Classification
Participated in DataHour: DCNN for Machine RUL Prediction using Time-series Data
Participated in DataHour: A Day in the Life of a Data Scientist
Participated in DataHour: Classification ML Model from Scratch
Participated in DataHour: NLP aspects in Telecommunication Industry
Participated in DataHour: Intelligent Knowledge Mining with Azure NLP and Graph databases
Participated in DataHour: Visualizing Data using Python
Participated in DataHour: Getting Started with AWS EC2
Participated in DataHour: Model Guesstimation (MLOps)
Participated in DataHour: An Unsupervised ML approach using Clustering
Participated in DataHour: M in ML stands for Math & Magic
Participated in DataHour: Model Parameters vs Hyperparameters - Techniques in ML Engineering
Participated in DataHour: Customizing Large Language Models GPT3 for Real-life Use Cases
Participated in DataHour: Convolution Neural Network for Image Recognition
Participated in DataHour: AI in Banking
Participated in DataHour: Artificial Intelligence Approach in Stock Market Analysis
Participated in DataHour: An Introduction to Measuring Marketing Channel Effectiveness
Participated in DataHour: AI/ML Era in Customer Experience (CX)
Participated in DataHour: Making AI work for Business
Participated in A Practical Approach to Kaggle Competition
Participated in DataHour: Diffusion Models for Generative Arts
Participated in DataHour: Applications of Optimization in On-demand Food and Grocery Delivery
Participated in DataHour: Using Data Science Methodology to Assess Equity in Communication
Participated in DataHour: Customer Data Science Models - Retail and CPG
Participated in DataHour: Data Science Use Cases
Participated in DataHour: Applications of Machine Learning in Self Driving Cars
Participated in DataHour: Understanding the Basics of a Neural Network
Participated in DataHour: Diving into the field of Data Analytics
Participated in DataHour: How to start your Kaggle journey?
Participated in DataHour: Data Science Use Cases - Part 2
Participated in DataHour: An Empathetic AI for Healthcare
Participated in DataHour: GANs Revolutionizing the World!
Participated in DataHour: Churn Analytics in Telcos
Participated in DataHour: An Introduction to Extended Reality (XR)
Participated in DataHour: Building & Deploying Deep Learning Models for Sentiment Analysis
Participated in DataHour: Quantum Computing in Financial Industry
Participated in DataHour: How Data Science is used in Fintech?
Participated in DataHour: Importance of Statistics in Data Science and Machine Learning
Participated in DataHour: Transforming Business Challenges into Data Driven Solution
Participated in DataHour: Exploring the Fundamentals of DeepMatch
Participated in DataHour: YOLO Object Detection using Python
Participated in DataHour: Training Your First PyTorch Model
Participated in DataHour: Understanding ChatGPT and its Use Cases
Participated in DataHour: Deploying Models for Sentiment Analysis on Cloud
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.