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followers: 79.0 following: 0.0 repos: 28.0 gists: 1.0

Name: Debadri Dutta

Type: User

Company: Sr. Data Scientist at Pfizer

Bio: Traveller at heart, Data Scientist by hobby. https://www.kaggle.com/duttadebadri

Location: Bangalore, India

Blog: https://linkedin.com/in/debadridtt

Debadri Dutta's Projects

a-review-of-different-word-embeddings-for-sentiment-classification-using-deep-learning

Word Embeddings-NLP with Deep Learning

air-pollution-monitoring-using-iot-data-viz.-ml

A prototype developed by me to collect the real-time data of the different types of pollution gases present in the air and analyzing and visualizing them and doing certain predictions.

analytical-web-app-for-rural-educaiton

Two web-portals and doing data analytics to solve problems related to rural education

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

blog

Collection of the codes which are used on our blog at https://www.statworx.com/de/blog/

brainwaves-societe-generale-ml-challenge

4th Position Solution

Analyzing the data on COVID-19 that started off in China in around Nov-Dec 2019 and was declared pandemic after it increased rapidly during Feb-Mar 2020. For latest version please visit my Kaggle Kernel (Link provided here)

credit-suisse-ml-hackathon

Explanatory Stock Price Predictions

data-science-hackathon-govt.-of-india

A Web-App to prevent road accidents by alerting the drivers

deep-learning-with-pytorch-quick-start-guide

Deep Learning with PyTorch Quick Start Guide, published by Packt

deeplearning-models

A collection of various deep learning architectures, models, and tips

epsilon-data-science-challenge---analytics---stock-price-time-forecasting--model-using-arima

Epsilon Data Science Hiring Challenge Problem

go

The Open Source Data Science Masters

iiit-delhi-postgraddiploma-cs-ai

The repo contains all the project and assignments done against each module in the degree

interviews

Everything you need to know to get the job.

keras-deep-learning-paper-implementations

Keras implementation of Deep Learning papers

langchain-llm-project

Basic to advanced Langchain LLM project showcase

ml-competitions-achievements

The approaches and notebooks of the ML Competitions where I have been able to achieve sometihng

nlp_course

YSDA course in Natural Language Processing

nlp_workshop_odsc_europe20

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.

optimizing-household-electricity-through-machine-learning

Optimizing Electricity consumption through Machine Learning to save electricity as well as reduce the electricity bill

predicting-the-criminals--hackerearth--online-ml-challenge

There has been a surge in crimes committed in recent years, making crime a top cause of concern for law enforcement. If we are able to estimate whether someone is going to commit a crime in the future, we can take precautions and be prepared. You are given a dataset containing answers to various questions concerning the professional and private lives of several people. A few of them have been arrested for various small and large crimes in the past. Use the given data to predict if the people in the test data will commit a crime. The train data consists of 45718 rows, while the test data consists of 11430 rows. The evaluation metric is precision score.

debadridtt Goto Github PK

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