Name: Koustav Dutta
Type: User
Company: Analytics & Cognitive Analyst @Deloitte , Ex-KIITian
Bio: TechnologyGeeK | Researcher | AI | Machine Learning | Deep Learning | Business Intelligence | Data Analytics | IoT | Computer Vision | Robotics
Twitter: KOUSTAV92566196
Location: Durgapur, West Bengal
Blog: https://www.linkedin.com/in/koustav-dutta-648132139/
Koustav Dutta's Projects
This Repositary delves deep into the building of Recommendation Systems using Self-Supervised Pattern Recognition Algorithm using Stacked Autoencoders and also using Advanced Self-Supervised Undirected Energy Based Modelling Algorithms like Restricted Boltzmann Machines
Content for Applied ML Workshop @ DataHack Summit 2019
All AutoML Libraries
Long list of geospatial tools and resources
Welcome to the Intelligent Kiosk Sample! Here you will find several demos showcasing workflows and experiences built on top of the Microsoft Cognitive Services.
This Repositary deals with the generation of Fake Images of Real Samples ( used as Encoding Mechanism ) using Generative Modelling Techniques of Computer Vision with De-Convolutional Generative Adversial Networks
Deep Learning Specialization by Andrew Ng on Coursera.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.
Resources, papers, tutorials
It's a Git Repo containing source code, supported docker files, multiple linear regression pickle file and other related contents of Flask App and Machine Learning Model.
This Repository delves deep into the development of User Experience using Ads Optimization and thus it helps in maximizing the revenues of an online retail business with Association Rule Learning Approaches like Thompson Sampling and Upper Confidence Bound Algorithms
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
A Research conducted by me and my professors for Detection of Anomaly in ECG Signals and track down Patients suffering from Cardiac Problems
Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
Generative AI based Simple Question & Answer Application with additional features like Letter Drafting, Songs Composition, News Summarization, Market Research etc
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.