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predictive-analytics

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This study investigates the quality of exercise using the machine learning algorithms and classifies into varying degrees of effectiveness compared to standard practices. The exercise analyzed is dumbbell pull-ups.

  • Updated May 12, 2021
  • HTML

This project is to assess and evaluate the social performance of Cognizant by leveraging PCA algorithm. We will analyze various social parameters, including diversity and inclusion, employee well-being, retention, stakeholder engagement, and social contributions, to identify distinctive characteristics within the dataset.

  • Updated Dec 5, 2023
  • HTML

My capstone project for Ryerson's Data Analytics, Big Data, and Predictive Analytics. The project I worked on was based on an open competition project called DengAI: Predicting Disease Spread. The objective of the project was to predict the total number of cases in the testing set of Iquitos, Peru & San Juan, Puerto Rico.

  • Updated Apr 10, 2020
  • HTML

A data analysis product that predicts the estimated rent of a house inside Indian metropolis using Long Short Term Neural Network. A website that builds strong with Django web frameworks that predicts house rent according to desire of the user and displays it.

  • Updated Feb 13, 2023
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Poor inventory management leads to a loss in sales which in turn paints an inaccurate picture of lower demand for certain items, making future order predictions based on that past data inherently inaccurate. Instead, smart retailers use real-time data to move inventory where it’s needed before it’s too late. Additionally, they use predictive ana…

  • Updated Mar 24, 2022
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