Project: Logistic Regression with NumPy and Python
Welcome to this project-based course on Logistic with NumPy and Python. In this project, you will do all the machine learning without using any of the popular machine learning libraries such as scikit-learn and statsmodels. The aim of this project and is to implement all the machinery, including gradient descent, cost function, and logistic regression, of the various learning algorithms yourself, so you have a deeper understanding of the fundamentals. By the time you complete this project, you will be able to build a logistic regression model using Python and NumPy, conduct basic exploratory data analysis, and implement gradient descent from scratch. The prerequisites for this project are prior programming experience in Python and a basic understanding of machine learning theory. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, NumPy, and Seaborn pre-installed.
Habilidades que você desenvolverá
Aprender passo a passo
Em um vídeo reproduzido em uma tela dividida com a área de trabalho, seu instrutor o orientará sobre esses passos:
Introduction and Project Overview
Load the Data and Import Libraries
Visualize the Data
Define the Logistic Sigmoid Function 𝜎(𝑧)
Compute the Cost Function 𝐽(𝜃) and Gradient
Cost and Gradient at Initialization
Implement Gradient Descent
Plotting the Convergence of 𝐽(𝜃)
Plotting the Decision Boundary
Predictions Using the Optimized 𝜃 Values
Como funcionam os projetos guiados
Seu espaço de trabalho é uma área de trabalho virtual diretamente no seu navegador. Nenhum download é necessário
Em um vídeo de tela dividida, seu instrutor te orientará passo a passo
Perguntas Frequentes – FAQ
Perguntas Frequentes – FAQ
What will I get if I purchase a guided project?
By purchasing a guided project, you'll get everything you need to complete the guided project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Are guided projects available on desktop and mobile?
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, guided projects are not available on your mobile device.
Who are the instructors for guided projects?
Guided project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
Can I download the work from my guided project after I complete it?
You can download and keep any of your created files from the guided project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
Como funciona a política de reembolso?Como funciona a política de reembolso?
Existe algum auxílio financeiro disponível?
Financial aid is not available for guided projects.
Can I audit a guided project and watch the video portion for free?
Auditing is not available for guided projects.
How much experience do I need to do this guided project?
At the top of the page, you can press on the experience level for this guided project to view any knowledge prerequisites. For every level of guided project, your instructor will walk you through step-by-step.
Can I complete this guided project right through my web browser, instead of installing special software?
Yes, everything you need to complete your guided project will be available in a cloud desktop that is available in your browser.
What is the learning experience like with guided projects?
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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