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Overview
What you will study
This Classification Algorithms course offered by INE Tech will discuss four different classification algorithms in detail, namely, logistic regression, k-nearest neighbors, support vector machines, and decision trees.
For each algorithm, we will cover the theory behind how it works, then demonstrate an implementation of it in Python. By the end of this course, you will be able to train your own classifiers with confidence.
Programme Structure
The program focuses on:
- Logistic Regression
- Binary Classification with Logistic Regression
- Logistic Regression Hypothesis Function
- Logistic Regression Cost Function
- Gradient Descent
- Multiclass Classification with Logistic Regression
- K-Nearest Neighbor Algorithm
- Choosing the K for KNN
- KNN Distance Metrics
- Linear Classification with Support Vector Machines
- Nonlinear Classification with Support Vector Machines
- Decision Trees
- Using Scikit-Learn Models
- Model Evaluation
- Evaluating Machine Learning Models
- Project
- Solution: Classifying Penguins with Machine Learning
- Classifying Penguins with Machine Learning
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
More details
- On demand.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Information Technology (IT) View 154 other Short Courses in Information Technology (IT) in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Professional
Tuition Fees
Additional Details
This course can be accessed with the INE Subscription
Funding
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