Data Science Project Life Cycle
A data sceince project is completed by following certain steps. The sequences of the phases come under the life cycle of the projects. Although the certain steps must be done the data sceince life cycle is a recursive process and can be modified as per the requirements and aspects of any organization.
Why to Chose MongoDB over SQL
I was recently asked a question about MongoDB in an interview. The question was why MongoDB is preferred over SQL. I decided to write this blog about it.
Chartify is a Python Library for Easy Visualization
Chartify is an alternative visulization tool such as Seaborn in Python. It is an open-source Python library that wraps Bokeh to make it easier for data scientists to create charts.
Tackling Climate Change with Machine Learning
Me and my data quest team-mates went for a Mindfire Global data challenge. And we are elevated to the next round of the selections to work on the project for C02 emmission reduction. During my research about this topic, I came accross this paper. Tackling Climate Change with Machine Learning. I wanted to summarize this paper so that me and my team-mates could skim this extensive study and get ideas of areas to implement machine learning to solve this issue.
