KDnuggets™ News 22:n01, Jan 5: 3 Tools to Track and Visualize the Execution of Your Python Code; 6 Predictive Models Every Beginner Data Scientist Should Master
Tags: Data Scientist, Feature Selection, Forecasting, Machine Learning, Neural Networks, Predictive Modeling, Python
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
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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Features
3 Tools to Track and Visualize the Execution of Your Python Code, by Khuyen Tran
6 Predictive Models Every Beginner Data Scientist Should Master, by Ivo Bernardo
- What Makes Python An Ideal Programming Language For Startups, by Nikita Bajaj
- Alternative Feature Selection Methods in Machine Learning, by Soledad Galli, PhD
- Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor Model, by Ajay Arunachalam
Products, Services
Tutorials, Overviews
- 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
Opinions
- Machine learning does not produce value for my business. Why?, by Necati Demir
- 11 Best Companies to Work for as a Data Scientist, by Zulie Rane
- Why are More Developers Using Python for Their Machine Learning Projects?, by Nahla Davies
- 4 Reasons Why You Shouldn’t Use Machine Learning, by Terence Shin
- How AI/ML Technology Integration Will Help Business in Achieving Goals in 2022, by Sudeep Srivastava
- AI and climate change have a complicated relationship, by Lewis Lovejoy
Top Stories
- Top Stories, Dec 20 – Jan 2: 3 Tools to Track and Visualize the Execution of Your Python Code, by KDnuggets
Jobs
- See our recent jobs in AI, Analytics, Data Science, Machine Learning
- You can post a free short entry on KDnuggets jobs page for an industry or academic job related to AI, Big Data, Data Science, or Machine Learning, email – see details at kdnuggets.com/jobs
Image of the week
From Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor Model
