Ankit Chilkalwar (ankitdata)

ankitdata

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Company:Capgemini

Location:Pune

Twitter:@Ankit_0627

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Ankit Chilkalwar's repositories

python_codez

Handy python codes

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amazon-braket-examples

Example notebooks that show how to apply quantum computing in Amazon Braket.

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ar-cutpaste

Cut and paste your surroundings using AR

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breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

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CheXNet-with-localization

Weakly Supervised Learning for Findings Detection in Medical Images

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COVID-Net

COVID-Net Open Source Initiative

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COVIDNet-CT

COVID-Net Open Source Initiative - Models for COVID-19 Detection from Chest CT

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DS-ML-AI

Libraries for data analysis , NLP, ANN and much more is included

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face_recognition

Here i have use opencv2 to detect the facial features with CascadeClassifier. haarcascade_frontalface_default.xml

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GMIC

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

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models

Models and examples built with TensorFlow

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predict-remaining-useful-life

Predict remaining useful life of a component based on historical sensor observations using automated feature engineering

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SPAM-HAM-WITH-NLP-

Here I segregate Spam and ham Text msgs.

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Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

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teams-league-airflow-elt

The goal of this article is showing a real world use case for ELT batch pipeline, with Cloud Storage, BigQuery, Apache Airflow and Cloud Composer : The Extract part is managed in Cloud Storage The Load part is managed from Cloud Storage to BigQuery The Transform part is managed by a BigQuery SQL query Everything is orchestrated by Airflow

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