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Bellabeat is a high-tech manufacturer of health-focused products for women.Urška Sršen, cofounder and Chief Creative Officer of Bellabeat, believes that analyzing smart device fitness data could help unlock new growth opportunities for the company.In this case study we will identify potential opportunities for growth and recommendations for the improvement of devices based on trends in their usage. The data set used for this analysis is : FitBit Fitness Tracker Data (CC0: Public Domain, dataset made available through Mobius).

fitbit_case_study's Introduction

Hi there, Nandini here 👋🏼

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I am a senior at Guru Gobind Singh Indraprastha University, New Delhi, pursuing a Bachelor of Technology in Artificial Intelligence & Data Science, who is passionate about Data 📊, Pythonic programming 🐍, and open source :octocat:. I love to learn and contribute in any and every possible way.

  • 📭 Data are just summaries of thousands of stories—tell a few of those stories to help make the data meaningful.
  • 💬 Volunteer for the education of underrepresented and underpreviliged, because Education is very powerful.
  • 😄 Talk to me about : Artificial Intelligence | Data Science | Machine Learning | Data Analytics
  • 👾 Fun fact: Everything that has been or could be written/said already exists in the Library of Babel

SKILLS

Programming: C, C++, Python, R, SQL, OOPs, Data Structure and Algorithm.

Data Science: Data Analysis, Supervised Learning, Unsupervised Learning, Neural Networks and Deep Learning, Data Visualization, Natural Language Processing, Text Analysis, Sentiment Analysis, Mathematics (Probability, Applied Statistics, Linear Algebra).

Libraries: NumPy, Pandas, Scikit-Learn, Seaborn, Matplotlib, TensorFlow, Keras, Snscrape.

Visualization Tools: Tableau, Power BI

Web Development: HTML, CSS.

Tools: Git, Google Colab, Excel, MS PowerPoint, POSTMAN.

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