Home » Development » Data Science » Deep Learning Prerequisites: Logistic Regression in Python

Best seller

Deep Learning Prerequisites: Logistic Regression in Python

April 12, 2024 Data Science, Development, Udemy CoursesUdemy

Deal Score+2

17

REDEEM

Deal Score+2

REDEEM

Udemy – Deep Learning Prerequisites: Logistic Regression in Python Course. Data science, machine learning, and artificial intelligence in Python for students and professionals

This Deep Learning Prerequisites: Logistic Regression in Python course is a lead-in to deep learning and neural networks – it covers a popular and fundamental technique used in machine learning, data science and statistics: logistic regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own logistic regression module in Python.

This Deep Learning Prerequisites course does not require any external materials. Everything needed (Python, and some Python libraries) can be obtained for free. This Deep Learning Prerequisites: Logistic Regression in Python course provides you with many practical examples so that you can really see how deep learning can be used on anything. Throughout the course, we’ll do a course project, which will show you how to predict user actions on a website given user data like whether or not that user is on a mobile device, the number of products they viewed, how long they stayed on your site, whether or not they are a returning visitor, and what time of day they visited.

• 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-4, DALL-E, Midjourney, and Stable Diffusion

Deep Learning Prerequisites: The Numpy Stack in Python (V2+) Best seller

Udemy – Deep Learning Prerequisites: The Numpy Stack in Python (V2+) Course. The Numpy, Scipy, Pandas, and Matplotlib …

REDEEM

Read full review

Artificial Intelligence: Reinforcement Learning in Python Best seller

Artificial Intelligence: Reinforcement Learning in Python Complete guide to Reinforcement Learning, with Stock …

REDEEM

Read full review

Math 0-1: Calculus for Data Science & Machine Learning Best seller

Math 0-1: Calculus for Data Science & Machine Learning A Casual Guide for Artificial Intelligence, Deep …

REDEEM

Read full review

Tensorflow 2.0: Deep Learning and Artificial Intelligence

Tensorflow 2.0: Deep Learning and Artificial Intelligence Machine Learning & Neural Networks for Computer …

REDEEM

Read full review

• Adult learners who want to get into the field of data science and big data
• Students who are thinking of pursuing machine learning or data science
• Students who are tired of boring traditional statistics and prewritten functions in R, and want to learn how things really work by implementing them in Python
• People who know some machine learning but want to be able to relate it to artificial intelligence
• People who are interested in bridging the gap between computational neuroscience and machine learning

• Publisher : Udemy
• Instructor : Lazy Programmer Inc
• Language : English
• Level of training : from beginners to advanced
• Duration Time : 7 hours