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cleaning-dataset

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Unsupervised Machine Learning- CyrptoCurrency Analysis, using several models on a cryptocurrency data in order to discover patterns and groups in data. Analysis done to create a report that includes what cryptocurrencies are on the trading market and how they could be grouped in order to create a classification system for potential new investmen…

  • Updated Nov 1, 2021
  • Jupyter Notebook

In this project, I cleaned up a large FIFA 2021 dataset with 18,000+ player records. The data was messy, with inconsistencies in 77 columns. I focused on making the data consistent and usable for analysis. This repository documents my step-by-step process, demonstrating how I transformed the data into a clean format.

  • Updated Oct 7, 2023

The goal of this project is to analyze data related to a marketing campaign and subsequently develop a machine learning model that can predict customers' response to the campaign. The overall benefit of this application is the efficient utilization of marketing budget.

  • Updated Aug 31, 2021
  • Jupyter Notebook

Unsupervised Machine Learning- CyrptoCurrency Analysis - For this project I am performing unsupervised machine learning on cryptocurrency data in order to discover patterns and groups in data. The purpose of this analysis is to create a report that includes what cryptocurrencies are on the trading market and how they could be grouped in order to…

  • Updated Oct 2, 2021
  • Jupyter Notebook

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