This week on KDnuggets: 3 Tools to Track and Visualize the Execution of Your Python Code; 6 Predictive Models Every Beginner Data Scientist Should Master; What Makes Python An Ideal Programming Language For Startups; Alternative Feature Selection Methods in Machine Learning; Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor Model; and much, much more.
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- Hands-On Reinforcement Learning Course, Part 1, by Pau Labarta Bajo
- Learn Deep Learning by Building 15 Neural Network Projects in 2022, by Param Raval
- How I Tripled My Income With Data Science in 18 Months, by Natassha Selvaraj
- Hands-on Reinforcement Learning Course Part 3: SARSA, by Pau Labarta Bajo
- Hands-On Reinforcement Learning Course, Part 2, by Pau Labarta Bajo
- The Easiest Way to Make Beautiful Interactive Visualizations With Pandas, by Frank Andrade
- Versioning Machine Learning Experiments vs Tracking Them, by Maria Khalusova
- Tips & Tricks of Deploying Deep Learning Webapp on Heroku Cloud, by Abid Ali Awan
- Cutting Down Implementation Time by Integrating Jupyter and KNIME, by Mahantesh Pattadkal
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From Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor Model Source: https://www.kdnuggets.com/2022/n01.html
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