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poojapatel-iit's Projects

data-intensive-computing---xsearch icon data-intensive-computing---xsearch

Data Intensive Computing : Improved performance and efficiency of information retrieval on text (3GB and 20 GB)and metadata(1GB and 7 GB) using objects and classes found in the Apache Lucene information retrieval library, the second one using the constructs provided by the LucenePlusPlus (Lucene++) information retrieval library, which is an efficient C++ port of Lucene and the third one using the constructs provided by the Xapian(Java) information retrieval library

django icon django

The Web framework for perfectionists with deadlines.

machine-learning icon machine-learning

Machine Learning : Decision Tree, Naive Bayes, Parameter estimation, Logistic regression

machine-learning---face-classification---bush-vs-willaims icon machine-learning---face-classification---bush-vs-willaims

Bush vs Williams: Designed models using SVM,KNN,Neural Networks, transfer learning on the training set and obtained good F1 score of approx 88% on test set using transfer learning based on classifying Bush/Williams images from a set of images.Technologies: Python,Google Colab, Neural Networks

saleor icon saleor

Saleor Core: the high performance, composable, headless commerce API.

spotify---song-like-prediction icon spotify---song-like-prediction

Explored machine learning with Python and performed Exploratory Data Analysis (EDA) in Jupyter Notebook using Pandas, Numpy, matplotlib, and other commonly-used libraries and also build a Decision Tree classifier using scikit-learn

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