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Neil Mascarenhas's Projects

blackfriday_sale_analysis icon blackfriday_sale_analysis

This Capstone Project summarizes our preliminary (Exploratory Data Analysis EDA) analysis on the dataset, the Black Friday Dataset from Amazon. It shared some insightful results from the EDA and descriptive statistics. Further, this paper identifies a set of analyses used to answer the business questions on the dataset and justifies those findings.

blockchain icon blockchain

This project is primarily made to learn Blockchain and Cryptocurrency Technology. It's internal working, how it's set up, and features.

boston-property-assessment icon boston-property-assessment

This is Final Capstone Project for ALY6040 Data Mining Fall 2021 CPS. Primarily to learn Data Analytics, Data Mining and Python. Residential and commercial properties were assessed in Boston. The Boston Globe reported in May 2021 that the competitive Boston housing market drives up costs. As the pandemic continues, people demand larger homes. Finding a home became more difficult as most property managers and realtors could not display their properties to several people. This post was written to help individuals, realtors, and real estate brokers find a property at a reasonable price. We selected to use a few basic machine learning concepts to help us determine the best selling price for the house based on the amount of rooms, location, design, and other characteristics about the bath and kitchen. We only focused on residential property because it was in demand. This study's goal was to improve on initial EDA work by constructing predictive models that solved our business concerns. Finally, optimizing the model's performance.

churnmodeling icon churnmodeling

This is Final Capstone Project for ALY6140 80956 Analytics Systems Technology SEC 04 Spring 2021 CPS. Primarily made to learn Data Analytics, Machine Learning, and AI using Python. To cluster Customer churn, understand why the customer is churning (leaving), which customer is churning, how can we predict it and stop it from happening.

coursera-capstone icon coursera-capstone

This repository contains the Applied Data Science Capstone Project for IBM Data Science Certificate

diplomacylab-analysis icon diplomacylab-analysis

This paper summarizes our preliminary EDA analysis on the provided dataset by the US State Government working with the UN. Here we researched and analyzed a specific area of UN internal committee meetings as requested by a U.S Embassy. We produced recommendations and presented our solutions contributing to the formulation of U.S. foreign policy.

galileo icon galileo

Galileo - Web Application Audit Framework

libgdx icon libgdx

Desktop/Android/HTML5/iOS Java game development framework

myblazorwapp icon myblazorwapp

This is my hands-on learning ASP .net core's all-new Blazor Web Assembly WebApp. Checking its features and getting acquainted with Blazor.

myml.netapp icon myml.netapp

This is my First ML.Net application to Train, Evaluate and Consume Model

neural-style-transfer icon neural-style-transfer

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

nypd_shooting_analytics icon nypd_shooting_analytics

This is Final Capstone Project for ALY15 80625 Intermediate Analytics SEC 04 Spring 2021 CPS. Primarily to learn Data Analytics, Descriptive and Inferential Stastics using R.

processing icon processing

Source code for the Processing Core and Development Environment (PDE)

snakefusion icon snakefusion

Using the genetic algorithm and neural networks I trained up 5 snakes who will then fuse to become the ultimate snake, this is how I did it

tflearn icon tflearn

Deep learning library featuring a higher-level API for TensorFlow.

uberpriceprediction icon uberpriceprediction

This is the final data science project for USIT5609 MScIT Part II. Primarily made to learn Data Analytics, Machine Learning, and AI. To predict uber prices with external factors such as rain, temperature, time of day, day of the year, and more.

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