vishwanath18

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About vishwanath18

Member Since May 6, 2015, 11:25 p.m.
Location Bengaluru
Area of Interest SAS, R, Python, Hadoop

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Participated in Black Friday Data Hack and secured rank 131
Participated in The Smart Recruits and secured rank 241
Participated in Mini Hack : Strategic Thinking and secured rank 305
Participated in Skilltest : R for Data Science and secured rank 307
Participated in DataHour: LLM Fine-tuning for Beginners with Unsloth
Participated in DataHour: Large Language Models: Foundation, Evolution and Applications
Participated in DataHour: Introduction to Serving Machine Learning Models as Microservices
Participated in DataHour: Innovative Applications of Artificial Intelligence
Participated in DataHour: Real-World REST APIs with Docker Containers
Participated in DataHour: Building Robust RAG Applications for the Real-World
Participated in DataHour: Evaluating LLMs and LLM Systems : Pragmatic Approach
Participated in DataHour: Continuous Testing and Evaluation with LLMs
Participated in DataHour: Rust and Python in the age of LLMOps
Participated in DataHour: Full-Stack Data Science with FastAPI
Participated in Better Data Understanding Through GenAI Powered Search
Participated in DataHour: Harnessing ML and NLP for Elevated Customer Experiences
Participated in DataHour: Empowering Stakeholders: With Supercharged & Functional Tableau Dashboard
Participated in DataHour: Responsible Use of Generative AI
Participated in DataHour: Creating Delightful Customer Experience with RAG
Participated in DataHour: The Future of GenAI
Participated in DataHour: Data Curation and Reliability for LLM and GenAI Applications
Participated in DataHour: Should I Use RAG or Fine-Tuning?
Participated in DataHour: How to Customize and Evaluate Your LLMs
Participated in DataHour: Natural Language to SQL Translation: The Challenges, Evolution and Future
Participated in DataHour:LangChain 101
Participated in DataHour: Enterprise Challenges with Generative AI and LLMs
Participated in DataHour: Building Generative AI Applications using Amazon Bedrock
Participated in DataHour: Demystifying HugginFace, LlamaIndex, and LangChain
Participated in DataHour: Open-Source For Accelerating AI Development
Participated in Loan Prediction
Participated in DataHour: Demystifying Demand Forecasting for Retail Success
Participated in DataHour: Unwritten Rules for Success in Machine Learning
Participated in DataHour: Why Did My AI Do That? Decoding Decision-Making in ML
Participated in DataHour: Machine Learning Tips and Tricks
Participated in DataHour: From APIs to Insights: Building Custom Power BI Connectors for RESTful APIs
Participated in DataHour: Handling Satellite and Geospatial Raster Data in Python
Participated in DataHour: Titanic Machine Learning Case Study using Python
Participated in DataHour: Industrial Application of Large Language Models like ChatGPT
Participated in DataHour: Statistics with Python for Data Science
Participated in DataHour: Exploring Dimensionality Reduction
Participated in DataHour: Web Scraping using Python Libraries
Participated in DataHour: Introduction to Social Network Analysis
Participated in DataHour: Understanding Logistic Regression and Decision Tree Analysis
Participated in DataHour: Building an End-to-End Solution for Big Mart Sales Prediction
Participated in DataHour: Unlocking Business Growth - The Power of Customer Segmentation
Participated in DataHour: An Introduction to Machine Learning with Sequence Data
Participated in DataHour: FIFA World Cup Match Analysis Using Python
Participated in DataHour: Personalizing Demand Planning Using Scenario Analysis
Participated in DataHour: ChatGPT and the Future of NLP Systems
Participated in DataHour: Getting Started with Python
Participated in DataHour: Generating Labeled Data through Weak Supervision
Participated in DataHour: Feature Engineering and Selection for Machine Learning
Participated in DataHour: Best of Pandas & The Power of Simple Models
Participated in DataHour: Application of Data Science in Insurance Industry
Participated in DataHour: Machine Learning on Live Streaming Data for AIOps
Participated in DataHour: Evaluation Criteria for Validating Machine Learning Models
Participated in DataHour: Forecasting & Time-series Analysis
Participated in DataHour: Boosting Performance with Ensemble Methods
Participated in DataHour: Feature Engineering and benefits of EDA
Participated in DataHour: How Good is AI for Conversations?
Participated in DataHour: Constructing Machine Learning Pipelines using Scikit-learn
Participated in DataHour: Transforming HR with People Analytics
Participated in DataHour: Application of ML Classification Techniques in Banking Industry
Participated in DataHour: How to Forecast New Product Launches using Data Centric Approach
Participated in DataHour: Data Science in Banking Industry
Participated in DataHour: Understanding Energy Industry through EDA
Participated in DataHour: Metrics in Tech - Using Data to Drive Business Decisions
Participated in DataHour: Exploring the Best Book Sellers Dataset
Participated in DataHour: Solving Business Problems with Microsoft Excel
Participated in DataHour: Data Preparation and Feature Engineering in ML
Participated in DataHour: Unlocking the Power of Embeddings
Participated in DataHour: A/B testing - Theory, Practice and Pitfalls
Participated in DataHour: Understanding Graph Data Science
Participated in DataHour: Dealing with Imbalanced Datasets in ML Classification Problems
Participated in DataHour: Salary Analysis and Prediction Using ML
Participated in DataHour: Data Wrangling Using Geospatial Data in Python
Participated in DataHour: Diabetic Patients’ Readmission Prediction using ML
Participated in DataHour: No-code ML Hands-on using Orange Data Mining Tool
Participated in DataHour: Deep Dive into Semantic Segmentation- Techniques, Challenges and State-of-the-Art
Participated in Big Mart Sales Prediction
Participated in #AVdatafest Xtreme ML Hack : Machine Learning Hackathon
Participated in Blogathon
Participated in AVdatafest : Experiments With Data
Participated in AVdatafest : The Creative Analyst
Participated in AV Casino : Introduction to Probability
Participated in The Strategic Saviour
Participated in Skilltest: Ensemble Modeling
Participated in AV Express: Kickstart your Data Science career (Chennai)
Participated in Practice Problem: Skilltest - Machine Learning
Participated in Skilltest: Dimensionality Reduction and secured rank 134
Participated in #AVdatafest SkillPower: Machine Learning
Participated in #AVdatafest: The Strategic Thor
Participated in #AVdatafest SkillPower: Time Series
Participated in #AVdatafest PowerTool: R for Data Science
Participated in Webinar: Can non programmers join Big Data and Data Science roles?
Participated in Data Science Interview Preparation Test
Participated in Time Series Forecasting
Participated in The D Hack
Participated in Re-Date Your Data: Learning Contest
Participated in Experiments With Data
Participated in Knocktober 2016
Participated in What's your story?
Participated in Blogathon 2
Participated in Skilltest: Regression
Participated in Skilltest: SAS
Participated in Skilltest: Clustering
Participated in #AVdatafest SkillPower: Deep Learning
Participated in #AVdatafest Launch Party & Panel Discussion
Participated in Skilltest: k-Nearest Neighbor (kNN)
Participated in Data Science Hackathon: Churn Prediction
Participated in Data Science Hackathon - Cross-sell: target the right customer
Participated in Date Your Data
Participated in AVdatafest : The Seer's Accuracy
Participated in Skilltest: Statistics
Participated in Strategic Sprint
Participated in Webinar: How to crack Big Data & Data Science Role?
Participated in #AVdatafest SkillPower: Probability
Participated in #AVdatafest PowerTool: SQL
Participated in #AVdatafest The Mightiest Pen : Blogging Competition
Participated in #AVdatafest Rise of the Hero: Write Your Story
Participated in #AVdatafest Rampaging DataHulk: Machine Learning Mini-Hack
Participated in AV LearnUp Bengaluru: Marketing & Social Media Analytics
Participated in Webinar : How to crack Big Data & Data Science roles
Participated in Skilltest: Tree Based Models
Participated in Webinar: Automated Machine Learning using MLBox python package
Participated in Webinar on Information retrieval from unstructured text at scale using advanced deep learning
Participated in Mini DataHack
Participated in Mini Hack : Excel
Participated in Experiments With Data
Participated in Practice Problem: Strategic Thinking II
Participated in Experiments With Data
Participated in Black Friday Sales Prediction
Participated in #AVdatafest The QuickSolver : Machine Learning Mini-Hack
Participated in #AVdatafest PowerTool: Python for Data Science
Participated in Experiments with Data
Participated in Fractal Analytics Hiring Hackathon
Participated in Identify the Sentiments
Participated in Twitter Sentiment Analysis
Participated in HR Analytics
Participated in WNS Analytics Wizard 2019
Participated in Predict Number of Upvotes
Participated in Skilltest: Machine Learning
Participated in #AVdatafest DATAHACK HOUR
Participated in DataFest Closing Ceremony
Participated in Click Prediction Hackathon
Participated in Skilltest: Statistics II
Participated in DataHour: Think like a Data Scientist
Participated in DataHour: Artificial Intelligence in Retail
Participated in Roadmap to become full-stack data professional
Participated in DataHour: How to transition into Data Science?
Participated in DataHour: Data Science in a FAANG company!
Participated in DataHour: An Overview of Feature Engineering for Data Science
Participated in DataHour: Introduction to Network Science
Participated in DataHour: Learning Path to Master Data Engineering in 2022
Participated in DataHour: Deploying Deep Learning model to production using FastAPI & Docker
Participated in DataHour: Efficient Implementations of Transformers
Participated in DataHour: Improving Search Results with Semantic Search
Participated in DataHour: Build your first Chat-bot using Open Source Tools
Participated in DataHour: Traversing the Journey of an Analytics Problem
Participated in DataHour: Create Effective Data Science Notebooks and Communication
Participated in DataHour: Introduction to Blockchain
Participated in DataHour: Introduction to Image Processing using Python
Participated in DataHour: Building Scalable, Secure and Responsible AI Solutions in Azure
Participated in DataHour: ML oops to MLOps!
Participated in DataHour: Writing Reusable and Reproducible Pipelines for Training Neural Networks
Participated in DataHour: Introduction to Tensorflow Javascript
Participated in DataHour: Introduction to MLOps
Participated in DataHour: Ask Kunal Anything About AI
Participated in DataHour: Causal Inference in Practice
Participated in DataHour: Data to Insightful Actions with No Code AI
Participated in DataHour: Introduction to Interpretable Machine Learning
Participated in DataHour: Building NLP applications using Hugging Face
Participated in DataHour: SQL- One of the Key Ingredients for Data Science
Participated in DataHour: An Introduction and Hands-On to Named Entity Recognition
Participated in DataHour: Data Management and AI
Participated in DataHour: Hands-on with Social Network Analysis
Participated in Learn to Build an Artificial Intelligence Model with Kaggle Grandmasters
Participated in DataHour: Introduction to Optimization Problems for Data Scientists
Participated in DataHour: Computer Vision Landscape
Participated in DataHour: Hands-on with Data Analysis Expressions(DAX) for Power BI
Participated in DataHour: Deep Learning - Maths Behind Back-Propagation
Participated in DataHour: Everything you need to know about Speech Recognition
Participated in DataHour: MLOps—DevOps for Machine Learning
Participated in DataHour: Feature Engineering on Images using Convolutional Neural Networks(CNN)
Participated in DataHour: Building AI Applications in Minutes
Participated in DataHour: Real-world Applications of Data science
Participated in DataHour: Bias and Fairness in NLP
Participated in DataHour: Next Leap - Data Science Adoption to Application
Participated in DataHour: Exploratory Data Analysis with F#
Participated in DataHour: Understanding Search Query
Participated in DataHour: Smart Machine Learning Solution Based on Ontology and Knowledge Graph
Participated in DataHour: Making Sense of Clinical Text Data at Scale with NLP
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: Understanding AWS Virtual Private Cloud(VPC) Concepts
Participated in DataHour: Introduction to Explainable AI (XAI)
Participated in DataHour: Leveraging GCP Vertex AI for Machine Learning
Participated in DataHour: Methods for Explaining the Blackbox of Machine Learning Model
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: Explainable AI - Need and Implementation
Participated in DataHour: Energy Data Science - Project From Scratch
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: Everything You Need to Know About Numpy
Participated in DataHour: Everything You Need to Know About Pandas
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: An Introduction to Central Limit Theorem
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: ML Model Interpretation and Evaluation
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: Introduction to Federated Learning
Participated in DataHour: Extracting Value from Data
Participated in DataHour: AI in Banking
Participated in DataHour: Ensemble Techniques in Machine Learning
Participated in DataHour: Artificial Intelligence Approach in Stock Market Analysis
Participated in DataHour: An Introduction to Measuring Marketing Channel Effectiveness
Participated in DataHour: Unfolding Model Evaluation Metrics in Machine Learning
Participated in DataHour: AI/ML Era in Customer Experience (CX)
Participated in DataHour: Introduction to Classification using Azure Machine Learning
Participated in DataHour: Hypothesis Testing A-Z
Participated in DataHour: Making AI work for Business
Participated in A Practical Approach to Kaggle Competition
Participated in DataHour: How to Approach an ML Problem Statement from Scratch
Participated in DataHour: Applications of Optimization in On-demand Food and Grocery Delivery
Participated in DataHour: Netflix Data Analysis using Python
Participated in DataHour: The Art of Feature Engineering
Participated in DataHour: Causal Experimentations - When A/B Test is Not Possible
Participated in DataHour: Introduction to Positive Unlabelled(PU) Learning
Participated in DataHour: Using Data Science Methodology to Assess Equity in Communication
Participated in DataHour: Introduction and Hands-on workshop with Reinforcement Learning
Participated in DataHour: Customer Data Science Models - Retail and CPG
Participated in DataHour: Data Science Use Cases
Participated in DataHour: Need for Self Supervised Learning - Practice at SAP
Participated in DataHour: Applications of Machine Learning in Self Driving Cars
Participated in DataHour: Diving into the field of Data Analytics
Participated in DataHour: How to start your Kaggle journey?
Participated in DataHour: Practical Hypothesis Testing
Participated in DataHour: Steps before using an ML Model
Participated in DataHour: Statistics in Data Science
Participated in DataHour: Understanding Dimensionality Reduction
Participated in DataHour: Data Science Use Cases - Part 2
Participated in DataHour: An Empathetic AI for Healthcare
Participated in DataHour: HIV Analysis using ML and Flutter
Participated in DataHour: Churn Analytics in Telcos
Participated in DataHour: An Introduction to Extended Reality (XR)
Participated in DataHour: Python Data Structures
Participated in DataHour: Exploring Heart Disease Data using Python
Participated in DataHour: Evaluation Measures for Binary Classification
Participated in DataHour: Quantum Computing in Financial Industry
Participated in DataHour: How Data Science is used in Fintech?
Participated in DataHour: Building and Operationalizing an Explainable Predictive Model
Participated in DataHour: Importance of Statistics in Data Science and Machine Learning
Participated in DataHour: How do Algorithms Generate Recommendations?
Participated in DataHour: Classification Algorithms Evaluation Metrics
Participated in DataHour: Advanced Exploratory Data Analysis on Credit Data
Participated in DataHour: Exploring Multi-label & Multi-class Classification
Participated in DataHour: Normal Distribution - Understanding the Numbers and its Real Life Applications
Participated in DataHour: Diabetes Prediction Using Survival Analysis
Participated in DataHour: Machine Learning Model Development using Pandas, Numpy and Scikit-Learn
Participated in DataHour: Analyzing Loan Application Data using Python
Participated in DataHour: Transforming Business Challenges into Data Driven Solution
Participated in DataHour: Hyperparameter Optimization Demystified
Participated in DataHour: Introduction to Optimization using Genetic Algorithms
Participated in DataHour: Understanding Logistic Regression
Participated in DataHour: Anomaly Detection in Time Series Data
Participated in DataHour: Real-time Machine Learning - Challenges and Solution
Participated in DataHour: Understanding ChatGPT and its Use Cases
Participated in DataHour: Experiments with Interpretable Artificial Intelligence
Participated in DataHour: Basic Concepts of Object Oriented Programming in Python
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