Most Popular Last Week

1. Query Your Pandas DataFrames with SQL, by Matthew Mayo
2. How to Ace Data Science Interview by Working on Portfolio Projects, by Abid Ali Awan
3. AutoML: An Introduction Using Auto-Sklearn and Auto-PyTorch, by Kevin Vu
4. How to Build Strong Data Science Portfolio as a Beginner, by Abid Ali Awan
5. 8 Must-Have Git Commands for Data Scientists, by Soner Yildirim

Most Shared Last Week

1. Query Your Pandas DataFrames with SQL, by Matthew Mayo
2. Deploying Your First Machine Learning API, by Abid Ali Awan
3. The 20 Python Packages You Need For Machine Learning and Data Science, by Sandro Luck
4. AutoML: An Introduction Using Auto-Sklearn and Auto-PyTorch, by Kevin Vu
5. How to Ace Data Science Interview by Working on Portfolio Projects, by Abid Ali Awan

Most Popular Tweets Last Week

1. 20 Python packages. Know them. Use them. Become a data science superstar with them.
2. #DataScience Learning Roadmap for 2021 #KDN
3. Build an Artificial Neural Network From Scratch: Part 1 #KDN
4. Design patterns in #MachineLearning #KDN
5. 6 New Awesome Features in #Python 3.10

Most Popular Past 30 Days

1. How to Build Strong Data Science Portfolio as a Beginner, by Abid Ali Awan
2. Data science SQL interview questions from top tech firms, by Nate Rosidi
3. Nine Tools I Wish I Mastered Before My PhD in Machine Learning, by Aliaksei Mikhailiuk
4. Path to Full Stack Data Science, by Jawwad Siddique
5. 8 Must-Have Git Commands for Data Scientists, by Soner Yildirim

Most Shared Past 30 Days

1. How to Find Weaknesses in your Machine Learning Models, by Michael Berk
2. Path to Full Stack Data Science, by Jawwad Siddique
3. 38 Free Courses on Coursera for Data Science, by Aqsa Zafar
4. How to be a Data Scientist without a STEM degree, by Terence Shin
5. 20 Machine Learning Projects That Will Get You Hired, by Khushbu Shah