Arpan Mishra (Arpan-Mishra)

Arpan-Mishra

Geek Repo

Company:Data Scientist at ZS Associates

Location:New Delhi, India

Home Page:https://arpan-mishra.github.io/

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Arpan Mishra's repositories

Anime-Generation-using-Deep-Learning

Built text generation models using LSTM & GPT2

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Approaching-almost-any-Machine-Learning-Problem

The code for the book AAML by Abhishek Thakur

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Selfie-Filter-Project

Creating Selfie Filters using facial keypoint detection and OpenCV

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Text-Summarisation

Creating Text Summary using T5 Transformers

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Amazon-Fine-Food-Reviews-

Using KNN and Bag of Words to predict the polarity of Reviews

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Global-Suicide-Analysis-1985-2015

EDA Project - Analyzing the global suicide rates from 1985-2015 using R

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HR-Attrition-Hackathon

Predicting Attrition probability using Support Vector Machines

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OCR-using-openCV-and-Tesseract

Extracted text from medicine box using openCV and pytesseract

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Rubik-s-Cube-Rotation-Prediction

Predicting the X-Axis Rotation for a given image of a rubik`s cube. (AI CROWD Hackathon)

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Sentiment-Extraction-using-Bert

Using Bert to detect the sentiment of a given text and extract the words which contain the detected sentiment.

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Stock-Forecasting

Exploring various methods to predict stock trends using Deep Learning

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Rossmann-Sales-Prediction

Predicting the daily sales for Rossmann Drug Store

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Text-Analysis-Webapp

Webapp for automating Text Analysis

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academic-portfolio

My academic portfolio website.

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Movie-Genre-Prediction

Predicting movie genres using resnet 50 in a multi-label classification problem.

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NLP-with-Python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

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reddit-flair-predictor

Created a Reddit flair detector

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Scrabble_Combination_Maker

Scrabble Combination Maker by entering characters

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Stock-Price-Predictor

Using Recurrent Neural Networks LSTMs to predict Alphabet Inc. stock price trend using a data of three years

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streamlit-machine-learning-app

An app made using streamlit to compare machine learning algorithms

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YouTubeLI

Github repo to upload demo files of youtube videos and linkedin

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