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Anithanaidu33 / Stock-Prediction

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This project aims to predict the future stock prices of various companies using machine learning and deep learning techniques. By analyzing historical stock price data and incorporating relevant features, the goal is to build accurate and robust models that can forecast stock prices over different time horizons.

visualization deep-learning evaluation datacollection datapreprocessing modelselection modeltraining
  • Updated Jul 28, 2023

Andrew-Hany / AUC_Catelog

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This project was to create our designed AUC Catalog. It was divided into three phases; the first was to create the database design and the schema. The second phase was to scrape the original AUC catalog to collect the data we need and insert them into our database. The third phase was to create an API and a frontend to have a working website tha…

nodejs mysql reactjs full-stack axios apis regular-expressions webscraping datacleaning datacollection
  • Updated Apr 17, 2022
  • Python

rrambhia22 / Crimes_Incarceration_Analysis

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Crime and Incarceration in the United States contain data on crimes that are committed, and the prisoner counts in every 50 states, for which the data is analyzed using various analytical methods.

python linear-regression exploratory-data-analysis jupyter-notebook statistical-analysis tableau model-building datavisualization dataanalysis correlation-matrix decision-tree-regression feature-importance datacleaning random-forest-regression datacollection machinelearningalgorithms datapreparation labelencoding pre-modeling-steps
  • Updated Jul 5, 2022
  • Jupyter Notebook

prankur16shukla / Air_Quality_Index_Prediction

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In this Regression project we extracted the data related to Air Quality Index from a Website. We have pre-processed the extracted data and made predictions on the AQI based on other factors. We have solved this problem by different algorithms along with Hyper Parameter Tuning.

numpy linear-regression exploratory-data-analysis pandas artificial-neural-networks decision-trees ridge-regression webscraping lasso-regression knn-regression beautifulsoup4 random-forest-regression datacollection datapreprocessing xgboost-regression matplotlib-pyplot
  • Updated Oct 10, 2021
  • Jupyter Notebook

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