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matplotlib-python

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This project aims to compare the performance of Facebook and AdWords advertising campaigns through A/B testing. By analyzing key metrics such as ad views, clicks, conversions, and costs, we seek to identify the most effective platform for optimizing advertising strategies.

  • Updated Feb 18, 2025
  • Jupyter Notebook

Nuclear and Chemical data with Plug-Unplug Systematics [MQ2 MQ3 MQ4 MQ5 MQ6 MQ7 MQ8 MQ9 MQ131 MQ135 MQ136 MQ137 MQ303A MQ309A Geiger Counter] Multi-Purpose that can configure with SQL and PHP, save data, do data science with Python, color scale with Lidar, deep learning with yolov9, objects with Pixy2 and location with GPS system Discovery Vehicle.

  • Updated Feb 16, 2025
  • C++

This is one of the repository where I have put lot of data science and machine learning related questions on their solutions I hope you will find something better than some other platforms. Thank you Happy exploring

  • Updated Jan 31, 2025
  • Python

Whatsmybitrate analyzes audio files for quality metrics such as bit rate, frequency, and codec type in bulk. It also generates spectrograms for visual representation of the audio spectrum. It supports a variety of audio formats, including MP3, FLAC, WAV, AAC, M4A, and more.

  • Updated Jan 29, 2025
  • Python

Alzheimer Prediction is a machine learning-based project designed to predict the likelihood of Alzheimer’s disease using clinical and imaging data. The project features an interactive web application built with Streamlit, enabling users to input key data, view predictions, and explore visualizations .

  • Updated Jan 26, 2025
  • Jupyter Notebook

In this business case study, we delve into how Netflix harnesses the power of data to drive strategic decision-making and enhance user experience. Netflix, a global leader in streaming entertainment, operates in a highly competitive landscape where understanding audience preferences is paramount.

  • Updated Jan 23, 2025
  • Jupyter Notebook

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