Intermediate
114 Lessons
35h
Certificate of Completion
This course uses a hands-on approach to introduce core concepts of data science. You will work on projects using real world data.
AI-POWERED
This course includes
This course includes
Course Overview
AI has enabled us to develop machine learning algorithms that learn from patterns in the data to make predictions and help organizations make informed decisions and optimize their business workflow. This course uses a hands-on approach to introduce core algorithms that are considered a workhorse in the field of data science and business machine learning. Along with business statistics, you’ll learn the working principles behind these algorithms and how they can be tuned for improved performance. You’ll als...Show More
What You'll Learn
An understanding of the theoretical foundations with hands-on coding examples
The ability to train, optimize, evaluate, and deploy various machine learning models
Familiarity with the process to select the most suitable models to tackle practical problems
Hands-on experience with handling different types of data for machine learning modeling
The ability to tweak various parameters to improve accuracy of machine learning models
A working knowledge of using hands-on projects and exercises on real data sets
Course Content
Course Introduction
Linear Regression
Regularization
Bias-Variance Trade-off
Categorical Features
Logistic Regression
7 Lessons
Logistic Regression: Titanic Data
10 Lessons
Multiclass Classification and Handling Imbalanced Classes
6 Lessons
Project: Predicting Chronic Kidney Disease
4 Lessons
K-Nearest Neighbors
5 Lessons
Implementation of K-Nearest Neighbors
7 Lessons
Logistic Regression vs. KNN
6 Lessons
Decision Tree Learning
14 Lessons
Bootstrapping and Confidence Interval
5 Lessons
Support Vector Machine
9 Lessons
Practice and Comparisons
3 Lessons
What's Next?
1 Lesson
Appendix
1 Lesson
How You'll Learn
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