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Participated in
AmExpert 2018 (Machine Learning Hackathon)
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Participated in
WNS Analytics Wizard 2018 (Machine Learning Hackathon)
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Participated in
Enigma codeFest Machine Learning
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Participated in
DataHour: Industrial Application of Large Language Models like ChatGPT
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Participated in
DataHour: Unlocking Business Growth - The Power of Customer Segmentation
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Participated in
DataHour: Personalizing Demand Planning Using Scenario Analysis
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Participated in
DataHour: ChatGPT and the Future of NLP Systems
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Participated in
DataHour: Application of Data Science in Insurance Industry
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Participated in
DataHour: How Good is AI for Conversations?
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Participated in
DataHour: Data Science in Banking Industry
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Participated in
DataHour: Understanding Energy Industry through EDA
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Participated in
DataHour: Metrics in Tech - Using Data to Drive Business Decisions
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Participated in
DataHour: Solving Business Problems with Microsoft Excel
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Participated in
QuantumBlack Hackathon
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Participated in
HR Analytics
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Participated in
Predict Number of Upvotes
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Participated in
Janatahack: Healthcare Analytics II
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Participated in
Webinar: Going Beyond your First ML Project
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Participated in
Webinar: Need of Industry Exposure in learning and applying the practical aspects of Data Science
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Participated in
Janatahack: Independence Day 2020 ML Hackathon
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Participated in
Janatahack: Cross-sell Prediction
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Participated in
LTFS Data Science FinHack 3
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Participated in
DataHour: Think like a Data Scientist
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Participated in
DataHour: Deploying Deep Learning model to production using FastAPI & Docker
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Participated in
DataHour: Improving Search Results with Semantic Search
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Participated in
DataHour: Efficient Implementations of Transformers
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Participated in
DataHour: Introduction to Network Science
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Participated in
DataHour: Introduction to Image Processing using Python
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Participated in
DataHour: Data Science in a FAANG company!
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Participated in
DataHour: How to transition into Data Science?
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Participated in
DataHour: ML oops to MLOps!
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Participated in
DataHour: Building Scalable, Secure and Responsible AI Solutions in Azure
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Participated in
DataHour: Writing Reusable and Reproducible Pipelines for Training Neural Networks
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Participated in
DataHour: Introduction to Tensorflow Javascript
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Participated in
DataHour: Introduction to MLOps
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Participated in
DataHour: Ask Kunal Anything About AI
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Participated in
DataHour: Causal Inference in Practice
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Participated in
DataHour: Introduction to Interpretable Machine Learning
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Participated in
DataHour: Building NLP applications using Hugging Face
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Participated in
DataHour: An Introduction and Hands-On to Named Entity Recognition
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Participated in
DataHour: SQL- One of the Key Ingredients for Data Science
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Participated in
DataHour: Data Management and AI
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Participated in
DataHour: Hands-on with Social Network Analysis
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Participated in
Learn to Build an Artificial Intelligence Model with Kaggle Grandmasters
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Participated in
DataHour: Introduction to Optimization Problems for Data Scientists
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Participated in
DataHour: Hands-on with Data Analysis Expressions(DAX) for Power BI
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Participated in
DataHour: Deep Learning - Maths Behind Back-Propagation
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Participated in
DataHour: Everything you need to know about Speech Recognition
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Participated in
DataHour: Feature Engineering on Images using Convolutional Neural Networks(CNN)
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Participated in
DataHour: Building AI Applications in Minutes
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Participated in
DataHour: Real-world Applications of Data science
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Participated in
DataHour: Bias and Fairness in NLP
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Participated in
DataHour: MLOps—DevOps for Machine Learning
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Participated in
DataHour: Next Leap - Data Science Adoption to Application
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Participated in
DataHour: Understanding Search Query
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Participated in
DataHour: Smart Machine Learning Solution Based on Ontology and Knowledge Graph
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Participated in
DataHour: Computer Vision Landscape
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Participated in
DataHour: Making Sense of Clinical Text Data at Scale with NLP
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Participated in
DataHour: Analyzing Movie Data using MongoDB
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Participated in
DataHour: Designing an end-to-end Neural Search Pipeline with Similarity Learning
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Participated in
DataHour: Data Visualization using Python
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Participated in
DataHour: Understanding AWS Virtual Private Cloud(VPC) Concepts
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Participated in
DataHour: Introduction to Explainable AI (XAI)
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Participated in
DataHour: Leveraging GCP Vertex AI for Machine Learning
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Participated in
DataHour: Quantum Computing Simulator Acceleration
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Participated in
DataHour: Stirring up Data Science with SQL
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Participated in
DataHour: Prediction to Production in Machine Learning
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Participated in
DataHour: Trees of Data Science
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Participated in
DataHour: Dynamic Time Warping for Time Series Classification
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Participated in
DataHour: Deep Dive into Practical Machine Learning with Career Insights
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Participated in
DataHour: Data Operations on Azure
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Participated in
DataHour: Jumpstart your Career with AWS AI/ML
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Participated in
DataHour: Nirvana State of MLOps
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Participated in
DataHour: Introduction to GAN - A Practical Approach
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Participated in
DataHour: Product Oriented Data Scientists
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Participated in
DataHour: Key steps for Designing Deep Neural Network and its scope in Industry
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Participated in
DataHour: Anomaly detection using NLP and Predictive Modeling
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Participated in
DataHour: Data Science in Retail
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Participated in
DataHour: Data Science Data management using Pandas
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Participated in
DataHour: Mitigating Bias in Machine Learning
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Participated in
DataHour: Google Cloud AI/ML
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Participated in
DataHour: Forecasting Stories
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Participated in
DataHour: Energy Data Science - Project From Scratch
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Participated in
DataHour: Getting Started with EDA tools - Numpy and Pandas
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Participated in
DataHour: Explainable AI - Need and Implementation
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Participated in
DataHour: Practical Applications of Data science in Ecommerce
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Participated in
DataHour: The Fundamentals of Quantum Computing
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Participated in
DataHour: How to tackle Overfitting?
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Participated in
DataHour: Hands-on with A/B Testing
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Participated in
DataHour: Key steps for Designing Artificial Neural Network (ANN) for Image classification
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Participated in
DataHour: Building Data Pipelines on GCP
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Participated in
DataHour: Modern Deep Learning Architecture
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Participated in
DataHour: 5 things you should know about Azure SQL
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Participated in
DataHour: Prediction to Production in Machine Learning
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Participated in
DataHour: AI & ML in the Automotive Industry
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Participated in
DataHour: ETL Pipelines in GCP
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Participated in
DataHour: Knowledge Graph Solutions using Neo4j
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Participated in
DataHour: Practical Time Series Analysis
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Participated in
DataHour: Building Machine Learning Models in BigQuery
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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: DCNN for Machine RUL Prediction using Time-series Data
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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: 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: AI in Banking
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Participated in
DataHour: Artificial Intelligence Approach in Stock Market Analysis
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Participated in
DataHour: An Introduction to Measuring Marketing Channel Effectiveness
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Participated in
DataHour: AI/ML Era in Customer Experience (CX)
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Participated in
DataHour: Making AI work for Business
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Participated in
A Practical Approach to Kaggle Competition
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Participated in
DataHour: Applications of Optimization in On-demand Food and Grocery Delivery
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Participated in
DataHour: Customer Data Science Models - Retail and CPG
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Participated in
DataHour: Using Data Science Methodology to Assess Equity in Communication
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Participated in
DataHour: Data Science Use Cases
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Participated in
DataHour: Applications of Machine Learning in Self Driving Cars
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Participated in
DataHour: Diving into the field of Data Analytics
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Participated in
DataHour: How to start your Kaggle journey?
|
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Participated in
DataHour: Data Science Use Cases - Part 2
|
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Participated in
DataHour: An Empathetic AI for Healthcare
|
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Participated in
DataHour: Churn Analytics in Telcos
|
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Participated in
DataHour: An Introduction to Extended Reality (XR)
|
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Participated in
DataHour: Quantum Computing in Financial Industry
|
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Participated in
DataHour: How Data Science is used in Fintech?
|
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Participated in
DataHour: Importance of Statistics in Data Science and Machine Learning
|
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Participated in
DataHour: Transforming Business Challenges into Data Driven Solution
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Participated in
DataHour: Understanding ChatGPT and its Use Cases
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