Day 1 of 30 days of Machine Learning Ops

With examples and projects…

Naina Chaturvedi
Coders Mojo

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Pic credits :gridai

Welcome back peeps! Hope all is going well. So, after receiving a great response ( and some really good feedback and inputs) for 60 days of Data Science and ML with projects series, I’m excited to share that I’m starting a new Series — 30 days of Machine Learning Ops with (amazing) projects. PS: I’ll be writing as and when I’m free out of my busy work schedule.

Advanced SQL Series

Day 1 : SQL Basics and Kick start of Advanced SQL Series

Day 2 : SQL Basics, Query Structure, Built In functions Conditions

Day 3 : Most Important Commands, Joins and Filters

Day 4 : Set Theory Operations, Stored Procedures and CASE statements in SQL

Day 5 : Wildcards, Aggregation and Sequences in SQL

Day 6 : Subqueries, Group by, order by and Having clauses in SQL and Analytical Functions

Day 7 : Window Functions, Grouping Sets and Constraints in SQL

Day 8 : BigQuery Basics, SELECT, FROM, WHERE and Date and Extract in BigQuery

Day 9 : Common Expression Table, UNNEST Clause, SQL vs NoSQL Databases

Day 10 : Triggers, Pivot and Cursors in SQL

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Naina Chaturvedi
Coders Mojo

🇺🇸,World Traveler, Sr. SDE, Researcher Cornell Uni, Women in Tech, Coursera Instructor ML & GCP, Trekker, IITB,Reader,I write for fun@AI & Python publications