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This week on KDnuggets: 5 Tasks To Automate With Python; How I Doubled My Income with Data Science and Machine Learning; Will There Be a Shortage of Data Science Jobs in the Next 5 Years?; How to Make Python Code Run Incredibly Fast; Stop (and Start) Hiring Data Scientists; and much, much more.
Our new KDnuggets Top Blogs Reward Program will pay to the authors of top blogs – check details here. Reposts accepted, but we love original submissions, rewarded at 3 times the rate of reposts.
- How to Create and Deploy a Simple Sentiment Analysis App via API, by Matthew Mayo
- Machine Learning Model Interpretation, by Himanshu Sharma
- Beyond Brainless AI with a Feature Store, by Jim Dowling
- 5 Data Science Open-source Projects You Should Consider Contributing to, by Sara Metwalli
- 10 Deadly Sins of Machine Learning Model Training, by Sandeep Uttamchandani, Ph.D.
- How a Data Scientist Should Communicate with Stakeholders, by Nathan Rosidi
- PyCaret 101: An introduction for beginners, by Moez Ali
- How to Fine-Tune BERT Transformer with spaCy 3, by Walid Amamou
- The only Jupyter Notebooks extension you truly need, by Olga Chernytska
- This Data Visualization is the First Step for Effective Feature Selection, by Benjamin Obi Tayo
- Make Pandas 3 Times Faster with PyPolars, by Satyam Kumar
- Top 4 Data Extraction Tools, by Zoltan Bettenbuk
- Supercharge Your Machine Learning Experiments with PyCaret and Gradio, by Moez Ali
- Essential Math for Data Science: Basis and Change of Basis, by Hadrien Jean
- 4 Tips for Dataset Curation for NLP Projects, by Paul Barba
- Great New Resource for Natural Language Processing Research and Applications, by Matthew Mayo
- AI Books you should read in 2021, by Przemek Chojecki
- Topic Modeling with Streamlit, by Bryan Patrick Wood
Top Programming Languages and Their Uses, by Claire D. Costa- Essential Machine Learning Algorithms: A Beginner’s Guide, by Ria Katiyar
From How I Doubled My Income with Data Science and Machine Learning
