Debanwesh Bose

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About Debanwesh Bose

Member Since Aug. 22, 2019, 4:26 p.m.
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Participated in Janatahack: Machine Learning in Agriculture and secured rank 102
Participated in DataHour: From Pixels to Insights- Practical Hands-on with Convolutional Neural Networks
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: 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: Introduction to Deep Learning with FastAI
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 Food Demand Forecasting
Participated in Webinar: Getting Started with Recommendation Engines
Participated in Time Series Forecasting
Participated in AmExpert 2019 – Machine Learning Hackathon
Participated in Janatahack: Customer Segmentation
Participated in JanataHack: Recommendation Systems
Participated in Webinar: DS Careers – Which Role to go for?
Participated in Webinar: Going Beyond your First ML Project
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in Janatahack: Healthcare Analytics II
Participated in JanataHack: Demand Forecasting
Participated in Janatahack: Healthcare Analytics
Participated in Janatahack: Cross-sell Prediction
Participated in LTFS Data Science FinHack 3
Participated in DataHour: Think like a Data Scientist
Participated in DataHour: SQL- One of the Key Ingredients for Data Science
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: Deploying Deep Learning model to production using FastAPI & Docker
Participated in DataHour: ML oops to MLOps!
Participated in DataHour: Introduction to Optimization Problems for Data Scientists
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: MLOps—DevOps for Machine Learning
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: 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: 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: Explainable AI - Need and Implementation
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: Diffusion Models for Generative Arts
Participated in DataHour: Understanding the Basics of a Neural Network
Participated in DataHour: GANs Revolutionizing the World!
Participated in DataHour: Building & Deploying Deep Learning Models for Sentiment Analysis
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: Deploying Models for Sentiment Analysis on Cloud
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