Day 30 of 30 days of Data Engineering Series with Projects

Pic credits : IBM

Welcome back peeps to Day 30 of Data Engineering Series with Projects!

In this we will cover —

Machine Learning Algorithms

Performance metrics

Linear Regression

Logistic Regression

Decision Trees

Random Forest

Support Vector Machines

K Nearest Neighbors

K means Clustering

Hierarchical Clustering

Neural Networks

Pre-requisite to Day 30 is to complete Day 1–29( link below):

Day 1 : What’s Data Engineering, Why Data Engineering, Data Engineers — ML Engineers — Data Scientists, Purpose and Scope

Day 2 : Complete Python for Data Engineering — Part 1

Day 3 : Complete Advanced Python for Data Engineering — Part 2

Day 4: Techniques to write efficient and Optimized Code

Day 5 : SQL

Day 6 : Advanced SQL