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7 machine learning secrets

Data cleaning and engineering take 80% of the time of the project I’m working on.
It’s better to understand the key math for data science than try to master it all.
Neural networks look cool on a resume but XGBoost and Logistic regression pay the bills
SQL is a non-negotiable even as a machine learning engineer
Hyperparameter tuning is a must
Project-based learning > tutorials
Cross-validation is your best friend

#machinelearning
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⚠️ O'Reilly Media, one of the most reputable publishers in the fields of programming, data mining, and AI, has made 10 data science books available to those interested in this field for free .

βœ”οΈ To use the online and PDF versions of these books, you can use the following links:πŸ‘‡

0⃣ Python Data Science Handbook
β”Œ Online
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PDF

1⃣ Python for Data Analysis book
β”Œ Online
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PDF

πŸ”’ Fundamentals of Data Visualization book
β”Œ Online
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PDF

πŸ”’ R for Data Science book
β”Œ Online
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PDF

πŸ”’ Deep Learning for Coders book
β”Œ Online
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PDF

πŸ”’ DS at the Command Line book
β”Œ Online
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PDF

πŸ”’ Hands-On Data Visualization Book
β”Œ Online
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PDF

πŸ”’ Think Stats book
β”Œ Online
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PDF

πŸ”’ Think Bayes book
β”Œ Online
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PDF

πŸ”’ Kafka, The Definitive Guide
β”Œ Online
β””
PDF

#DataScience #Python #DataAnalysis #DataVisualization #RProgramming #DeepLearning #CommandLine #HandsOnLearning #Statistics #Bayesian #Kafka #MachineLearning #AI #Programming #FreeBooks βœ…
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