π Unlocking Insights: Your Data Analyzed, Decoded and Delivered by Gabriel Felix dos Santosπ Unlocking Insights: Your Data Analyzed, Decoded and Delivered by Gabriel Felix dos Santos
Are your data a mess? Do you need insightful and interactive dashboards but has no idea how to do it? And what about statistics metrics, the calculations are too complicated, ain't they? Don't worry, I'm here for you.
Cleaning and transforming your data, getting useful insights applying Statistics and Probabilities, creating dashboards and even modelling Machine Learning Algorithms for your data. All of it in a simple and clear way.
Remember: every data's tale needs a narrator π
FAQs
Python is the preferable programming language, but others can be used accordingly to the clients needs, such as R and Julia.
The client can choose the way in this kind of delivery, where 1) only the dashboard files are delivered (the results are only available for the client machine; 2) or the results are uploaded into Streamlit Free Cloud Service, making the results available for everyone that has access to the URL.
You must have three things installed on your machine: 1) Python Programming Language; 2) Jupyter Notebook/Lab IDE; 3) and the Python Packages listed in the "requirements.txt" that follows up the Interactive Notebook.
Are your data a mess? Do you need insightful and interactive dashboards but has no idea how to do it? And what about statistics metrics, the calculations are too complicated, ain't they? Don't worry, I'm here for you.
Cleaning and transforming your data, getting useful insights applying Statistics and Probabilities, creating dashboards and even modelling Machine Learning Algorithms for your data. All of it in a simple and clear way.
Remember: every data's tale needs a narrator π
FAQs
Python is the preferable programming language, but others can be used accordingly to the clients needs, such as R and Julia.
The client can choose the way in this kind of delivery, where 1) only the dashboard files are delivered (the results are only available for the client machine; 2) or the results are uploaded into Streamlit Free Cloud Service, making the results available for everyone that has access to the URL.
You must have three things installed on your machine: 1) Python Programming Language; 2) Jupyter Notebook/Lab IDE; 3) and the Python Packages listed in the "requirements.txt" that follows up the Interactive Notebook.