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model-development

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Forecast Apple stock prices using Python, machine learning, and time series analysis. Compare performance of four models for comprehensive analysis and prediction.

  • Updated Dec 20, 2022
  • Jupyter Notebook

Develop a deep learning model capable of predicting traffic flow in urban environments. The model will utilize historical traffic data, weather conditions, and road configurations to forecast traffic patterns. This information can be invaluable for traffic management systems, helping to optimize traffic signals and reduce congestion, ultimately.

  • Updated Oct 1, 2024
  • Python

Explore machine learning projects that include supervised, unsupervised, and reinforcement learning. These projects cover classification, regression, natural language processing, time-series analysis, explainable AI, and image segmentation.

  • Updated Aug 5, 2024

A multi-criteria decision analysis (MCDA)-based composite proxy target variable generation technique for business decision modeling that uses relevant features or independent variables conceptually related to the intended target variable.

  • Updated Dec 3, 2022
  • Jupyter Notebook

In this series of notebooks, we will dive into each step of the data analysis process of a data set with some information about a list of cars and several attibutes, including their prices. So essentially we will develop a model to predict cars price.

  • Updated Mar 15, 2023
  • Jupyter Notebook

This is data analysis powerful exam paper powered by Coursera. Which i solved using python simple way. Data Analysis, Data Visualization, Model Development, Data warangling, Model Evolution And Refinement most of the important topic are covered in this repo..

  • Updated Dec 4, 2022
  • Jupyter Notebook

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