Data Friday

Data Friday

Data Friday is a platform dedicated to showcasing weekly data science projects, insights, and tools. Every week, we explore various topics in the world of data, covering everything from exploratory analysis to building predictive models and deploying interactive dashboards. This repository serves as the home for all the projects, resources, and code developed throughout our Data Fridays journey.

What is Data Friday?

Data Friday is a hub for data enthusiasts, professionals, and learners to:

  • Explore exciting data-driven projects.
  • Learn new techniques and best practices in data science, machine learning, and AI.
  • Build and share innovative tools and solutions.
  • Collaborate with a community of like-minded individuals passionate about leveraging data to solve real-world problems
 

 

  • Location : Linkedin, Github
  • Client : Public
  • Project Type : Content Creator, Data scientist
  • Duration : Continuous
  • Completion : Continuous
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What's Included:

  • Weekly Projects: Each Friday, a new data science project is introduced, showcasing different aspects of data processing, analysis, visualization, and modeling.
  • Interactive Visualizations: Bringing data to life with interactive charts, dashboards, and insights built using tools like Plotly, Dash, and more.
  • Machine Learning Models: Step-by-step development of machine learning models with detailed explanations, code, and deployment strategies.
  • Real-World Use Cases: Demonstrating how data science can be applied to various industries and domains to derive actionable insights.

“In God we trust, all others must bring data”

William Edwards -

-Deming

Highlights:

  • 📅 Weekly Updates: Fresh, engaging projects every Friday.
  • 💡 Learning & Collaboration: Hands-on examples, tutorials, and collaborative opportunities to enhance your data science skills.
  • 🔮 Predictive Modeling & Analytics: Practical applications of machine learning models, from concept to deployment.
  • 📊 Data Visualizations: Interactive and visually appealing dashboards that make complex data easy to understand.

Get Involved:

 

Clone the repository and start exploring the weekly projects.

`bash

git clone https://github.com/stickz-man/Data-Friday.git

Stay Updated: Be sure to check in every Friday for the latest project updates and resources.
Join the Conversation: Follow us on LinkedIn here www.linkedin.com/in/majoie-ngandi to stay connected and engage with the community.

Installation:

To run the projects locally:

Install the necessary libraries:

bash

pip install -r requirements.txt

Run the provided scripts and applications for each project.
Explore the interactive dashboards and notebooks.

Join the Data Fridays Movement:

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