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Participated in
WNS Triange Hackquest
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Participated in
DataHour: From Pixels to Insights- Practical Hands-on with Convolutional Neural Networks
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Participated in
DataHour: Implementing Gradient Descent in Python
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Participated in
DataHour: Hands-on Journey to Neural Networks
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Participated in
DataHour: How to Build a Multi Task Model using TensorFlow
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Participated in
DataHour: Deep Learning for Time Series Forecasting
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Participated in
DataHour: A Simple Guide to Deep Metric Learning
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Participated in
DataHour: Contrastive Learning for Image Classification
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Participated in
DataHour: An Introduction to Vision for Robotics
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Participated in
DataHour: An Overview of Computer Vision
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Participated in
DataHour: Introduction to Deep Learning with FastAI
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Participated in
DataHour: Demystifying RCNN Family for Object Detection
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Participated in
DataHour: Implementing a Neural Network using Pytorch
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Participated in
DataHour: An Introduction to Google Vision API
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Participated in
DataHour: Understanding Stable Diffusion & Prompt Engineering
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Participated in
DataHour: Image Classification using Deep Learning Models
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Participated in
DataHour: Building Efficient Convolution Networks for Image Classification Tasks
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Participated in
Data Science Blogathon 7
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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: Introduction to Network Science
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Participated in
DataHour: SQL- One of the Key Ingredients for Data Science
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Participated in
DataHour: ML oops to MLOps!
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Participated in
Football Hackathon
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Participated in
DataHour: Introduction to Tensorflow Javascript
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Participated in
DataHour: Introduction to Image Processing using Python
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Participated in
DataHour: Writing Reusable and Reproducible Pipelines for Training Neural Networks
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Participated in
DataHour: Building Scalable, Secure and Responsible AI Solutions in Azure
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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: Efficient Implementations of Transformers
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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: 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: 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: Introduction to Optimization Problems for Data Scientists
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Participated in
DataHour: Deep Dive into Graph Neural Nets for Content NLP
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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: 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: Next Leap - Data Science Adoption to Application
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Participated in
DataHour: MLOps—DevOps for Machine Learning
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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: 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: Explainable AI - Need and Implementation
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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: Time Series analysis using LSTM
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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
Loan Prediction
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Participated in
DataHour: Convolution Neural Network for Image Recognition
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Participated in
DataHour: Diffusion Models for Generative Arts
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Participated in
DataHour: Understanding the Basics of a Neural Network
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Participated in
DataHour: GANs Revolutionizing the World!
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Participated in
DataHour: Building & Deploying Deep Learning Models for Sentiment Analysis
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Participated in
DataHour: Exploring the Fundamentals of DeepMatch
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Participated in
DataHour: YOLO Object Detection using Python
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Participated in
DataHour: Training Your First PyTorch Model
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Participated in
DataHour: Deploying Models for Sentiment Analysis on Cloud
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