Steps towards Data Science: Exploring 30 challenges
Becoming a Data Science Ninja
Steps towards Data Science: Exploring 30 challenges
In this series of posts, i am going to solve 30 different challenges provided by Data Science Dojo in their blog and explain the solutions along the way.
It contains 30 different types of datasets and challenges with increasing level of difficulty for convenience (Beginner, Intermediate, Advanced). It is a great opportunity for us to get started with real world problems and datasets.
Disclaimer: I am not a professional, just a fresh beginner trying to uplift my Data Science Skills.
What tools will i be using?
I am using Python Programming Language and a Jupyter Notebook to write the code. Other Machine Learning tools/Libraries like Numpy, Pandas, Scipy, Scikit Learn, Keras etc. will be used. There are many tools for various different purpose so, i will be explaining where and why i used specific tool along the way 🙂.
List of posts and Notebooks:
Conclusion
In my opinion, those datasets are very interesting and it is a great opportunity for beginners like me to get started by solving those challenges. You can follow me along or you can try at your own. Keep learning & Stay curious! 🤨.
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