sayanbanerjee992 Goto Github PK
Name: Sayan Banerjee
Type: User
Company: Tata Consultancy Services
Bio: Information technology Analyst, 6 +years experience, Data Scientist @ ASDA (Walmart) account.
Twitter: SAYANGTR
Location: Kolkata, India
Sayan Banerjee's Projects
google-smart-compose-real-time-assisted-writing
The case study on Google Smart Compose: Real-time assisted writing is a Deep Learning-based Web application based on https://arxiv.org/pdf/1906.00080.pdf research paper. I have performed a LSTM based attention model to predict the next few words. Lastly built a web application and deploy it to AWS using the AWS EC2 instance. Blog link - https://medium.com/@sayanbanerjee992/gmail-smart-compose-real-time-assisted-writing-8ed95079490f
m5-forecasting---accuracy
M5 Forecasting - Accuracy is a Sales forecasting project using Machine Learning.
mercari-price-suggestion-challenge
Mercari is a community-powered shopping app from Japan allowing anyone to buy and sell anything from anywhere. Blog: https://medium.com/@sayanbanerjee992/mercari-price-suggestion-challenge-fe4e105c3e43
network-based-intrusion-detection-system
The case study on a Network-based Intrusion Detection System is a Machine Learning-based Web application based on https://arxiv.org/pdf/1903.02460.pdf research paper. I have performed both binary and multi-class classification to predict the presence of any intrusion-based signal. If present, then which type of signal is present in the network. I have used various techniques like under sampling and over sampling because of the imbalances in the dataset, then train the model using Machine Learning techniques like Logistic Regression, Random Forest, XGBoost. Lastly built a web application and deploy it to AWS using AWS EC2 instance
prediction-of-engagement-score
Prediction of Engagement Score project is the part of analyticsvidhya.com jobathon
python-coding-interview-question---answer-for-freshers
Python-coding-interview-question---answer-for-freshers
real-time-voice-cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
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