Course Report
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Course Features
Duration
3 hours
Delivery Method
Online
Available on
Lifetime Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
3 hours
Course Description
Course Overview
Job Assistance
Personlized Teaching
Industry Exposure,Hands-On Training
Case Studies, Captstone Projects
Skills You Will Gain
What You Will Learn
Building the Decision Tree Lab.
How to build Classification & Regression Models.
How to spin up & tweak SVM for classification models.
Learn how to load data into Scikit-learn
Overfitting, Random Forest & Teamwork
Run various ML algorithms for supervised/unsupervised learning.
Installation of Anaconda & Jupyter Notebook IDE.
Target Students
Experienced professionals who are working with MATLAB/R/SAS, looking to transition their career in Machine Learning/Data Science.
Students with experience in Python Programming aiming to build predictive models in Scikit-Learn Library.