Google Cloud Certified Professional Machine Learning Engineer

Google GCPMLE.AE1

###### Google Cloud Certified Professional Machine Learning Engineer

ISBN: 978-1-64459-591-6Google GCPMLE.AE1

(ML-LABS.AA1) / ISBN : 978-1-64459-455-1

This course includes

Hands-On Labs

AI Tutor (Add-on)

Experience the power of hands-on learning in Machine Learning Labs. This interactive course offers engaging lessons and immersive labs where you'll gain practical experience in performing various machine-learning tasks. From working with Pandas DataFrames to exploring visualization libraries and popular machine learning libraries like Scikit-learn, you'll develop the skills needed to excel in the dynamic field of machine learning.

25+ LiveLab | 25+ Video tutorials | 27+ Minutes

0

- Using the read_csv() Function
- Filtering a DataFrame Based on Index
- Indexing a DataFrame
- Sorting a DataFrame
- Creating a Series from a Dictionary Using pandas

1

- Creating a Multi-Dimensional Array Using numpy
- Creating a One-Dimensional Array Using numpy

2

- Creating a Scatter Plot Using matplotlib

3

- Using scikit-learn
- Applying Box-Cox Transformation

4

- Handling the Missing Values
- Performing Data Cleaning

5

- Performing Chi-Square Test
- Performing Two-Way ANOVA
- Calculating the Euclidean Distance between Two Series
- Performing Feature Selection Using Chi-Square Test
- Performing One-Way ANOVA
- Performing the Goodness of Fit Test

6

- Performing Logistic Regression
- Performing Bagging
- Creating a Decision Tree
- Creating a Confusion Matrix
- Creating a Contingency Table

7

- Performing Linear Regression on the Salary Dataset

8

- Performing K-Means Clustering