Latest Courses
Python: Associate in Python Programming Certification 2021Check course
Learn Wordpress Now: Wordpress for BeginnersCheck course
Python Performance OptimizationCheck course
Python Django Full Social Media CourseCheck course
Build a Dog Breed Recognition Application in FlutterCheck course
Creating Smart Maps with Python and Leaflet Windows VersionCheck course
WordPress Complete Course On LocalHost (An Extensive Guide)Check course
SQL Bootcamp: Complete SQL CourseCheck course
Junit 5 Jupiter Under JDK 16 In Details Step by StepCheck course
Python Bootcamp for Data Science 2021 Numpy Pandas & SeabornCheck course
Python: Associate in Python Programming Certification 2021Check course
Learn Wordpress Now: Wordpress for BeginnersCheck course
Python Performance OptimizationCheck course
Python Django Full Social Media CourseCheck course
Build a Dog Breed Recognition Application in FlutterCheck course
Project: Linear Regression with NumPy and Python

Project: Linear Regression with NumPy and Python

Add your review
Add to wishlistAdded to wishlistRemoved from wishlist 0
Add to compare
8.4/10 (Our Score)
Product is rated as #171 in category Machine Learning

Welcome to this project–based course on Linear Regression 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 and linear regression, of the various learning algorithms yourself, so you have a deeper understanding of the fundamentals. 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.

Instructor Details

Snehan Kekre is a Machine Learning and Data Science Instructor at Rhyme. He will graduate in 2021 with a BSc in Computer Science and Artificial Intelligence from Minerva Schools at KGI, based in San Francisco. His interests include AI safety and alignment research. He believes that building a deep, technical understanding of machine learning and AI among students and engineers is necessary in order to grow the AI safety community. This passion drives him to design hands-on, project-based Machine Learning Courses on Rhyme.

Specification: Project: Linear Regression with NumPy and Python

Duration

2 hours

Year

2020

Level

Beginner

Certificate

Yes

Quizzes

Yes

1 review for Project: Linear Regression with NumPy and Python

4.0 out of 5
0
1
0
0
0
Write a review
Show all Most Helpful Highest Rating Lowest Rating
  1. Lizardo R

    More programming background was necessary

    Helpful(0) Unhelpful(0)You have already voted this

    Add a review

    Your email address will not be published. Required fields are marked *

    This site uses Akismet to reduce spam. Learn how your comment data is processed.

    Project: Linear Regression with NumPy and Python
    Project: Linear Regression with NumPy and Python

    Price tracking

    Java Code Geeks
    Logo
    Register New Account
    Reset Password
    Compare items
    • Total (0)
    Compare