Machine Learning | Batch 350 | M0100366
FREE
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Course Overview
Schedule of Classes
Start Date & End Date
Mar 03 2025 - May 02 2025
Total Classes
45 Classes
Course Curriculum
1 Subject
Machine Learning | Batch 350 | M0100366
3 Exercises • 23 Learning Materials
Phase 1 - Machine Learning and Preprocessing Data
What is machine learning vs Traditional approach, hoe ML approach make task simple and versatile
Types of ML algorithm
Model building, data understanding and processing with sattistical use
Model building data understanding and processing with statistical use
one_hot_encoding
outliers_handling
3rd March - What is machine learning vs Traditional approach, hoe ML approac
5th March - Types of ML algorithm
declair data ready for ML
Melbourne_housing_data_regression analysis
polynomial_regression
regression_assumptions
end_to_end_model application_steps
17th March - Data Preprocessing
18th March - Data Preprocessing with sklearn
19th March - Linear Regression Algorithm
20th March - Implementation of Linear Regression algorithm
21st March - Implementing multiple Linear Regression
24th March - Regularization and introduction to Logistic regression
logistic regression
25th March - Logistic Regression algorithm
26th March - Performance measures in classification
27th March -
Assignments
Machine Learning: Blog Writing Challenge
Assignment- Linear Regression
Assignment- Logistic Regression
Course Instructor
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Innomatics Research Labs
490 Courses • 54878 Students
Trainer
226 Courses • 18214 Students
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