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Ashwini Kumar Padhy's Projects

100-days-of-code-challenge icon 100-days-of-code-challenge

My 100 Days of Code Repository - Contains my daily projects, code snippets and learnings throughout the challege

aipnd icon aipnd

Code and associated files for the AI Programming with Python Nanodegree Program

aipnd-revision icon aipnd-revision

Revision to the code and associated files for the AI Programming with Python Nanodegree Program

amazon-forecast-developer-guide icon amazon-forecast-developer-guide

The open source version of the Amazon Forecast docs. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.

amazon-redshift-utils icon amazon-redshift-utils

Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment

analytics-zoo icon analytics-zoo

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

analytics_vidhya icon analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

artificial-intelligence-deep-learning-machine-learning-tutorials icon artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

aws-glue-developer-guide icon aws-glue-developer-guide

The open source version of the AWS Glue docs. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.

car-price-prediction-model icon car-price-prediction-model

descriptionTools Used: R and SAS, Source: Jigsaw Academy’s Project Business Problem: Applied linear regression technique to formulate the pricing model of various car based on numerous attributes of the vehicle given. Approach: Exploratory Data analysis followed by linear regression

car-price-prediction-system icon car-price-prediction-system

Technologies: Nutch 1.6, MapReduce in Java, Mahout. For selling a used car, its price can be predicted by giving some attributes. e.g. Car Model, total miles, engine type. Trained data will be provided to our system to predict the price for new data. Used Nutch to crawl car data from 52 states which is on craigslist.org. Over 0.3 million records were fetched. The content was then pruned using two MapReduce Jobs. The first MapReduce cleaned the data removing unwanted unicode symbols and incomplete data (information without car model or total miles or engine or price). The Second MapReduce extracted the required attributes and emitted in tsv format. This tsv was then provided to a Naïve Based Classifier in Mahout. A classification model was built from the training data. This models predicts the price when attributes like car model model, miles, engine was provided.

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