KDnuggets News, September 14: Free Python for Data Science Course • Everything You’ve Ever Wanted to Know About Machine Learning
Free Python for Data Science Course • Everything You’ve Ever Wanted to Know About Machine Learning • Progress Bars in Python with tqdm for Fun and Profit • 7 Tips for Python Beginners • 7 Data Analytics Interview Questions & Answers
Features
- Free Python for Data Science Course by Matthew Mayo
- Everything You’ve Ever Wanted to Know About Machine Learning by Cassie Kozyrkov
- Progress Bars in Python with tqdm for Fun and Profit by Abid Ali Awan
- Everything You’ve Ever Wanted to Know About Machine Learning by Cassie Kozyrkov
From Our Partners
- Machine Learning in the Enterprise: Use Cases & Challenges by Formulated
- Opening Keynote Speaker for Big Data London (21-22 September 2022) announced as Zhamak Deghani – founder of the Data Mesh concept by Reed Exhibitions Ltd.
- How to build a model to find the most impactful paths in user journeys by Objectiv
- Join Data Literacy Month 2022 by DataCamp
- How To Tackle 3 Common Machine Learning Challenges by Comet
- ModelOps: What you need to know to get certified by SAS
- Opening Keynote Speaker for Big Data London (21-22 September 2022) announced as Zhamak Deghani – founder of the Data Mesh concept by Reed Exhibitions Ltd.
This Week's Posts
- 7 Tips for Python Beginners by Abid Ali Awan
- 7 Data Analytics Interview Questions & Answers by Abid Ali Awan
- The Difference Between Training and Testing Data in Machine Learning by Mark Rudak
- Combining Pandas DataFrames Made Simple by Kanwal Mehreen
- Everything You Need to Know About Data Lakehouses by Nisha Arya
- 5 Data Science Skills That Pay & 5 That Don't by Nisha Arya
- Machine Learning Algorithms - What, Why, and How? by Vidhi Chugh
- 24 A/B Testing Interview Questions in Data Science Interviews and How to Crack Them by Nate Rosidi
- All About Collections in Python by Priya Sengar
- Convert Text Documents to a TF-IDF Matrix with tfidfvectorizer by Abid Ali Awan
- Machine Learning Metadata Store by Akruti Acharya
- How to Select Rows and Columns in Pandas Using [ ], .loc, iloc, .at and .iat by Manu Jeevan
- Decision Tree Pruning: The Hows and Whys by Nisha Arya
- SQL vs NoSQL: 7 Key Takeaways by Alex Williams
- Visualizing Your Confusion Matrix in Scikit-learn by Vidhi Chugh
- Eight innovative BERT Knowledge Distillation Papers that Changed the NLP Landscape by Kumar Abhishek
- Choosing the Right Clustering Algorithm for your Dataset by Josh Thompson
- 7 Things You Didn't Know You Could do with a Low Code Tool by Rosaria Silipo
- Removing Outliers Using Standard Deviation in Python by Punit Jajodia
- Using Generative Models for Creativity by Nahla Davies
- Find a Picture in an Image Without Marking it Up by Alexander Dzhumurat
- KDnuggets Applied Data Science Survey by Matthew Mayo
- 7 Data Analytics Interview Questions & Answers by Abid Ali Awan
From Around The Web
- Create Robust Data Pipelines with Prefect, Docker, and GitHub by Khuyen Tran
- An Introduction To Recurrent Neural Networks And The Math That Powers Them by Mehreen Saeed
- Machine learning Pipeline in Pyspark by Abhishek Jaiswal
- Adding A Custom Attention Layer To Recurrent Neural Network In Keras by Mehreen Saeed
- An Introduction To Recurrent Neural Networks And The Math That Powers Them by Mehreen Saeed
KDnuggets News
- What's New On KDnuggets? by KDnuggets
- Top Posts August 29 – September 11: Free Python for Data Science Course by KDnuggets