By the end of this course, you will be able to
Deal with the most popular machine learning algorithm such as: Logistic, Linear Regression, Decision Tree, Random Forest, Support Vector Machine.
Perform evaluation metrics on these algorithm and building Sequencial, Factional, and Subclassing API using Deep Neural Network (DNN).
Recognize all about Scikit Learn, one of the most popular machine learning libraries, and explore its benefits.
Course details
- 3 h 42 m/14 lessons
- Last updated: 31/12/2022
- Course completion certificate
Course Content
Scikit Learn
Linear Regression
Scikit Learn
Linear Regression
Logistic Regression
KNN
Decision Tree
Random Forest
Support Vector Machine
Evaluation Metrics
Tensor Flow
Simple Model
Sequential Model
Factional API
Factional API 2
Subclassing API
About this course
The Data Scientist profession has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems. This series of five training courses is designed to teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python.
Course requirements and prerequisites
There are no requirements for this course. Your interest in the topic and your commitment to learning are all you need to achieve the utmost benefit from this course.
Mentor
Hassan Fulaih
Software Engineering Expert
7,502 Learners
39 Courses
