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10 Great Python Resources for Aspiring Data Scientists

KDnuggets

This is a collection of 10 interesting resources in the form of articles and tutorials for the aspiring data scientist new to Python, meant to provide both insight and practical instruction when starting on your journey.

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The Easy Way to Do Advanced Data Visualisation for Data Scientists

KDnuggets

Creating effective data visualisations is a core skill for data scientists. This tutorial will guide you through how to easily develop interactive visualisations using the Python library plotly.

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The 5 Graph Algorithms That Data Scientists Should Know

KDnuggets

In this post, I am going to be talking about some of the most important graph algorithms you should know and how to implement them using Python.

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How to Write Web Apps Using Simple Python for Data Scientists

KDnuggets

Convert your Data Science Projects into cool apps easily without knowing any web frameworks.

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How to Build Your Own Logistic Regression Model in Python

KDnuggets

A hands on guide to Logistic Regression for aspiring data scientist and machine learning engineer.

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Top Stories, Sep 9-15: 10 Great Python Resources for Aspiring Data Scientists

KDnuggets

Also: The 5 Graph Algorithms That Data Scientists Should Know; Many Heads Are Better Than One: The Case For Ensemble Learning; BERT is changing the NLP landscape; I wasn't getting hired as a Data Scientist; There is No Free Lunch in Data Science.

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The 5 Classification Evaluation Metrics Every Data Scientist Must Know

KDnuggets

This post is about various evaluation metrics and how and when to use them.