Pritesh Shrivastava (pritesh-shrivastava)

pritesh-shrivastava

Geek Repo

Company:Microsoft

Location:India

Home Page:https://pritesh-shrivastava.github.io

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Pritesh Shrivastava's repositories

chicago_transit_kafka

Web app to display real-time train station data using Apache Kafka

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kaggle-ieee-fraud-detection

Bronze Medal solution to Kaggle competition hosted by IEEE-CIS to detect fraud transactions

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learn-you-a-haskell-tutorial

Programming exercises from the book Learn You a Haskell

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sentiment-analysis-sagemaker

Deploy a sentiment analysis model using AWS Sagemaker, Lambda and API Gateway

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sf_crime_spark_kafka

Analyzing real-time data using Apache Kafka & Spark Streaming

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sicp_solutions

My notes and exercise solutions for the book Structure & Interpretation of Computer Programs

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analytics-vidhya-club-mahindra-dataolympics

Revenue prediction on tabular data. Competition hosted on Analytics Vidhya

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analytics-vidhya-linguipedia-nlp

Scripts and notebooks for competitions on Analytics Vidhya

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competitive-data-science

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

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fastai-v0.7

Dump of Fastai Version 0.7

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Full-Stack-Foundations

Solution Code to Full Stack Foundations (ud088)

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imdb_ratings_analysis

Comparing the performance of different actors using the IMDb ratings of their movies

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lms-scripts

Pulling data from Avanti-LMS

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melanoma-classification

My solution to the Kaggle competion SIIM-ISIC Melanoma Classification

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ml_model_explainability

A repository of notebooks and scripts useful for explaining Machine Learning models

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multilingual-toxic-comment-classification

Using multilingual BERT model for Kaggle competition

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numpy-tutorials

NumPy tutorials & educational content in notebook format

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OAuth2.0

Starter Code for Auth&Auth course

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plagiarism-detection-aws

Plagiarism detection classifier built using AWS Sagemaker

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Pysquared

A lead squared python client for creating, finding and updating leads and activities.

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streamlit-azure-app-services

Demonstration showing how to deploy Streamlit using Azure App Services

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ThinkBayes2

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

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