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dataingestion

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This repository for a project detailing the step by step approach of scraping data, integrating data from various sources, performing analysis on data from various sources for the purpose of analaysis. It also shows how APIs can be harnessed for data engr operations. In this project, the four square API was utilized for the location data.

  • Updated Feb 21, 2023
  • Jupyter Notebook

Describe the different entities that form a modern data ecosystem. Describe and differentiate between the role and responsibilities of Data Engineers, Data Scientists, Data Analysts, Business Analysts, and Business Intelligence Analysts. Explain what Data Engineering is. List the tasks that need to be performed in a typical data engineering life…

  • Updated Oct 6, 2021

The main purpose of this repository is to build the pipeline for training of regression models and predict the compressive strength of concrete to reduce the risk and cost involved in discarding the concrete structures when the concrete cube test fails.

  • Updated Feb 27, 2023
  • Python

This repo hosts an end-to-end machine learning project designed to cover the full lifecycle of a data science initiative. The project encompasses a comprehensive approach including data Ingestion, preprocessing, exploratory data analysis (EDA), feature engineering, model training and evaluation, hyperparameter tuning, and cloud deployment.

  • Updated Feb 28, 2024
  • Jupyter Notebook

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