Welcome to my "100 Days of Data Science" challenge repository! This challenge is a personal journey to dive deep into the vast field of Data Science. Over the next 100 days, I will be exploring a wide range of topics and applications in Data Science, documenting my learnings, and building projects to apply theoretical knowledge into practice.
- Daily Logs: Each day, I'll focus on a specific topic or project related to Data Science, ranging from basic concepts in statistics and programming to advanced machine learning and data visualization techniques.
- Projects: Practical projects will be developed to apply the concepts learned. These could include data analysis reports, predictive models, data visualizations, and more.
- Reflections: At the end of each week, I will reflect on the learnings, challenges faced, and achievements.
/logs- Daily logs of topics studied, including notes and small code snippets./projects- Complete project files and codebases developed during the challenge./resources- A collection of resources used or created throughout the challenge, such as datasets, reference materials, and useful links.
- Follow Along: Check out my daily logs and projects to see my progress and learnings.
- Get Inspired: I hope this challenge inspires you to take on your own journey in learning Data Science or any other field of interest.
- Collaborate: Feel free to fork this repository, suggest changes, or collaborate on projects.
I encourage anyone interested in Data Science to take on this challenge or a similar one that suits your learning goals. It's a great way to commit to regular learning, build a portfolio, and connect with the community.
Let's embark on this learning journey together! Here's to 100 days of exploration, growth, and discovery in the world of Data Science.