Let's create a ML Classifier, Neural Regressor from Scratch
Supervised Learning Based Classifier Building
- Description
- Curriculum
- FAQ
- Reviews
Guide:
Sohana Sultana
This course will introduce a real-world classifier made from scratch performed better than existing standard classifiers.
The topics covered in this course are:
– STEPS TO CREATE A CLASSIFIER
– DIFFERENT TERMINOLOGIES
– TOPIC SELECTION
– TRAINING
– TESTING
– PERFORMANCE ANALYSIS
Like every presentation need the final touch, this course will cover your gaps in Machine Learning. The skills learned in this course are going to give you a lot of options for your career.
See you inside the course!
TERMINOLOGIES
TOPIC SELECTION
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11
INTRO -
12
TERMINOLOGY GROUP 1
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13
TERMINOLOGY GROUP 2
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14
TERMINOLOGY GROUP 3
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15
TERMINOLOGY GROUP 4
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16
TERMINOLOGY GROUP 5
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17
STYLOMETRIC FEATURES
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18
NEURAL NETWORK
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19
SVM
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20
LEXICAL FEATURES
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21
SYNTACTIC FEATURES
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22
SEMANTIC FEATURES
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23
NAIVE BAYES
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24
LOGISTIC REGRESSION
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25
GRAPH AND EXCEL FILE FOR METRICES
TESTING
PERFORMANCE ANALYSIS
LIST OF ACRONYMS
ENDING
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Stars 2
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Course available for 2 days
Course details
Lectures
12
Quizzes
3
Video
1 hours
Certificate of Completion
Full lifetime access
Access on mobile and TV
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