Deep Learning Prerequisites: Logistic Regression in Python — 90% Off Coupon

Data science, machine learning, and artificial intelligence in Python for students and professionals

4.8 36,318 students enrolledCreated by Lazy Programmer Team, Lazy Programmer Inc.Last updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

•Course Title: Deep Learning Prerequisites: Logistic Regression in Python
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Lazy Programmer Team, Lazy Programmer Inc.
•Coupon Verified On: November 3, 2025
•Difficulty Level: Advanced
•Category: Development
•Subcategory: Logistic Regression
•Duration: 7h of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: program logistic regression from scratch in Python · describe how logistic regression is useful in data science · derive the error and update rule for logistic regression
•Prerequisites: Derivatives, matrix arithmetic, probability · You should know some basic Python coding with the Numpy Stack
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

✓program logistic regression from scratch in Python.
✓describe how logistic regression is useful in data science.
✓derive the error and update rule for logistic regression.
✓understand how logistic regression works as an analogy for the biological neuron.
✓use logistic regression to solve real-world business problems like predicting user actions from e-commerce data and facial expression recognition.
✓understand why regularization is used in machine learning.
✓Understand important foundations for OpenAI ChatGPT, GPT-5, DALL-E, Midjourney, and Stable Diffusion.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

•Derivatives, matrix arithmetic, probability
•You should know some basic Python coding with the Numpy Stack

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Lazy Programmer Team, Lazy Programmer Inc.. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Lazy Programmer Team, Lazy Programmer Inc.
•Field: Development
•Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the Deep Learning Prerequisites: Logistic Regression in Python Coupon Worth It?

Deep Learning Prerequisites: Logistic Regression in Python is a development course offered on Udemy by instructor Lazy Programmer Team, Lazy Programmer Inc., spanning 7h of on-demand content. It holds a 4.8/5 rating from over 36,318 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on November 3, 2025. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.8/5) and enrollment numbers (36,318 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of November 2025. For individual student reviews, visit the course page directly.

4.8
36,318 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

Frequently Asked Questions

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