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1. LIDAR-Height-Extractor LIDAR-Height-Extractor Public

   Implementation of an algorithm using Python to remotely extract building heights by combining LIDAR (Light Detection and Ranging) datasets and building shapefiles.

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2. Single-Cell-RNA-Sequence-Data-Analysis Single-Cell-RNA-Sequence-Data-Analysis Public

   Created an R pipeline using Bioconductor and Seurat to preprocess and clean scRNA sequence datasets, perform Principal Component Analysis and identify anomalous differential gene expression. [ONGOING]

   R 1 1

3. Convoluted-Neural-Network-Malaria-Detection Convoluted-Neural-Network-Malaria-Detection Public

   Built a deep learning Convoluted Neural Network to differentiate between images of healthy and malaria infected cells.

   Jupyter Notebook 1

4. Bike-Sharing-Data-Analysis Bike-Sharing-Data-Analysis Public

   This project is an exploratory data analysis of the Bay Area Bike Share using basic data analysis and data visualization tools and packages in Python.

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5. KNN-Categorization-Iris-Flower KNN-Categorization-Iris-Flower Public

   Built a supervised machine learning model (KNN model) from scratch and implemented it on data of different types of iris flowers to categorize them by sepal and petal form and colour.

   Jupyter Notebook

6. Summer-Analytics-2019 Summer-Analytics-2019 Public

   Assignments for Summer Analytics 2019, Consulting and Analytics Club, IIT Guwahati

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