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Participated in
LTFS Data Science FinHack ( ML Hackathon)
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Participated in
Genpact Machine Learning Hackathon
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Participated in
AmExpert 2019 – Machine Learning Hackathon
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Participated in
AmExpert 2018 (Machine Learning Hackathon)
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Participated in
Capillary Machine Learning Hackathon
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Participated in
WNS Analytics Wizard 2019
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Participated in
WNS Analytics Wizard 2018 (Machine Learning Hackathon)
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Participated in
India ML Hiring Hackathon 2019
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Participated in
QuantumBlack Hackathon
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Participated in
Dataverse Hack
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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
DataHack Premier League 2018
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Participated in
Lord of the Machines: Data Science Hackathon
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Participated in
Practice Problem: Strategic Thinking II
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Participated in
Student DataFest 2018: The Data Identity
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Participated in
[Student DataFest 2018] Skilltest - Intro to Machine Learning
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Participated in
Big Mart Sales Prediction
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Participated in
Time Series Forecasting
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Participated in
Twitter Sentiment Analysis
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Participated in
LTFS Data Science FinHack 2
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Participated in
Webinar: Introduction to TensorFlow with Intel Optimizations
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Participated in
Practice Problem: Intel Scene Classification Challenge
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Participated in
Food Demand Forecasting
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Participated in
HR Analytics
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Participated in
Identify the apparels (Fashion MNIST)
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Participated in
Analytics Vidhya Internship Challenge
|
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Participated in
ML Hikeathon (An Online Machine Learning Hackathon)
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Participated in
Practice Problem: Urban Sound Classification
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Participated in
Data Science Interview Preparation Test
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Participated in
Black Friday Sales Prediction
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Participated in
Janatahack: Healthcare Analytics
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Participated in
HackLive 3: Guided Hackathon - NLP
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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
Hack4Retail by McKinsey & Company and Fozzy Group
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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: 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: ML oops to MLOps!
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Participated in
DataHour: SQL- One of the Key Ingredients for Data Science
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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: 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: 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: Explainable AI - Need and Implementation
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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: 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
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
Loan Prediction
|
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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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