Big Data Data Science Awesome Guides Practical Spark Tips for Data Scientists

I know — Spark is sometimes frustrating to work with.

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Learning Resources Data Science 5 tips for getting your first Data Science job in 2020

Many of my followers ask me — How difficult is it to get a job in the Data Science field?

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Big Data Data Science Awesome Guides 5 Ways to add a new column in a PySpark Dataframe

Too 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.

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Data Science Bamboolib — Learn and use Pandas without Coding

Have you ever been frustrated by doing data exploration and manipulation with Pandas?

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Data Science Programming Lightning Fast XGBoost on Multiple GPUs

XGBoost is one of the most used libraries fora data science.

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Data Science Share your Projects even more easily with this New Streamlit Feature

A Machine Learning project is never really complete if we don’t have a good way to showcase it.

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Big Data Data Science 100x faster Hyperparameter Search Framework with Pyspark

Recently I was working on tuning hyperparameters for a huge Machine Learning model.

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Data Science How to Deploy a Streamlit App using an Amazon Free ec2 instance?

A Machine Learning project is never really complete if we don’t have a good way to showcase it.

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Data Science Minimal Pandas Subset for Data Scientists on GPU

Data 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.

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Data Science Awesome Guides Confidence Intervals Explained Simply for Data Scientists

Recently, I got asked about how to explain confidence intervals in simple terms to a layperson.

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