40 Essential Python Libraries for Data Science & Machine Learning 1. NumPy 2. Pandas 3. Matplotlib 4. Seaborn 5. SciPy 6. Scikit-learn 7. TensorFlow 8. Keras 9. PyTorch 10. LightGBM 11. XGBoost 12. Statsmodels 1
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In this comprehensive guide, we look at the most important Python libraries in data science and discuss how their specific features can boost your data science practice.
Check out this video on the Data Scientist Interview Questions: 6. What is bias in data science? Bias is a type of error that occurs in a data science model because of using an algorithm that is not strong enough to capture the underlying patterns or trends that exist in the data. Imagi...
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To do this, they build predictive models, develop algorithms, and often use programming languages like Python and R. While data analysts typically work within a single division or department (and have detailed, in-depth knowledge of that division), a data scientist needs to understand the ...