NLP Engineer, Speechkit
Data and Blockchain Professional
Data Scientist, Boeing
Data Science Consultant, Fractal Analytics
In this machine learning regression project, you will learn to build NumPy Regression Models (Linear Regression, Ridge Regression, Lasso Regression) from Scratch.
Get started today
Request for free demo with us.
Schedule 60-minute live interactive 1-to-1 video sessions with experts.
Unlimited number of sessions with no extra charges. Yes, unlimited!
Give us 72 hours prior notice with a problem statement so we can match you to the right expert.
Schedule recurring sessions, once a week or bi-weekly, or monthly.
If you find a favorite expert, schedule all future sessions with them.
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
250+ end-to-end project solutions
Each project solves a real business problem from start to finish. These projects cover the domains of Data Science, Machine Learning, Data Engineering, Big Data and Cloud.
15 new projects added every month
New projects every month to help you stay updated in the latest tools and tactics.
500,000 lines of code
Each project comes with verified and tested solutions including code, queries, configuration files, and scripts. Download and reuse them.
600+ hours of videos
Each project solves a real business problem from start to finish. These projects cover the domains of Data Science, Machine Learning, Data Engineering, Big Data and Cloud.
Cloud Lab Workspace
New projects every month to help you stay updated in the latest tools and tactics.
Unlimited 1:1 sessions
Each project comes with verified and tested solutions including code, queries, configuration files, and scripts. Download and reuse them.
Technical Support
Chat with our technical experts to solve any issues you face while building your projects.
7 Days risk-free trial
We offer an unconditional 7-day money-back guarantee. Use the product for 7 days and if you don't like it we will make a 100% full refund. No terms or conditions.
Payment Options
0% interest monthly payment schemes available for all countries.
Business Objective
Regression is a supervised learning algorithm. Regression analysis is used to establish a relationship between one or more independent variables and a dependent variable. There are several variations in regression analysis like linear, multiple linear, and nonlinear. One can create regression models with the help of the ‘Scikit-learn’ library, the most valuable and robust library for machine learning in Python. But, in this project, we will be building our models from scratch using NumPy. Building your model allows for more flexibility during the training process, and one can tweak the model to make it more robust and responsive to real-world data as required in the future during re-training or in production.
This project explains how linear regression works and how to build various regression models such as linear regression, ridge regression, lasso regression, and decision tree from scratch using the NumPy module.
Data Description
The dataset provides information about the players of a particular sport, and the target is the predict the scores. The dataset consists of around 200 rows and 13 columns.
Aim
To build multiple regression models from scratch using the NumPy module.
Tech stack
Approach
Recommended
Projects
Feature Scaling in Machine Learning: The What, When, and Why
Enhance your knowledge of feature scaling in machine learning to refine algorithms, learn to use Python to implement feature scaling, and much more!
Data Engineer’s Guide to 6 Essential Snowflake Data Types
From strings to timestamps, six key snowflake datatypes a data engineer must know for optimized analytics and storage | ProjectPro
Top 7 Llama Project Ideas for Practice
Explore Top Llama Project Ideas by ProjectPro to Showcase Your AI Expertise in the growing Gen AI landscape
Get a free demo