But don't know the path yet?
Many of my followers ask me — How difficult is it to get a job in the Data Science field?
read moreToo much data is getting generated day by day. Although sometimes we can manage our big data using tools like Rapids or Parallelization , Spark is an excellent tool to have in your repertoire if you are working with Terabytes of data.
read moreHave you ever been frustrated by doing data exploration and manipulation with Pandas?
read moreXGBoost is one of the most used libraries fora data science.
read moreA Machine Learning project is never really complete if we don’t have a good way to showcase it.
read moreRecently I was working on tuning hyperparameters for a huge Machine Learning model.
read moreA Machine Learning project is never really complete if we don’t have a good way to showcase it.
read moreData manipulation is a breeze with pandas, and it has become such a standard for it that a lot of parallelization libraries like Rapids and Dask are being created in line with Pandas syntax.
read moreRecently, I got asked about how to explain confidence intervals in simple terms to a layperson.
read moreA Data Scientist who doesn’t know SQL is not worth his salt
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