Machine Learning Regression Masterclass in Python

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$9.99 Coupon code for Machine Learning Regression Masterclass in Python Udemy Course. This is an exclusive discount coupon from the course instructor, it will be active for few days. Check ENROLL NOW button to get a maximum discount. We manually verified coupon code on March 10th, 2024 .

Build 8+ Practical Projects and Master Machine Learning Regression Techniques Using Python, Scikit Learn and Keras
Instructed by Ryan Ahmed 10.5 hours on-demand video, 3 articles & 1 downloadable resource

After completing the course, you will…

  • Master Python programming and Scikit learn as applied to machine learning regression
  • Understand the underlying theory behind simple and multiple linear regression techniques
  • Apply simple linear regression techniques to predict product sales volume and vehicle fuel economy
  • Apply multiple linear regression to predict stock prices and Universities acceptance rate
  • Cover the basics and underlying theory of polynomial regression
  • Apply polynomial regression to predict employees’ salary and commodity prices
  • Understand the theory behind logistic regression
  • Apply logistic regression to predict the probability that customer will purchase a product on Amazon using customer features
  • Understand the underlying theory and mathematics behind Artificial Neural Networks
  • Learn how to train network weights and biases and select the proper transfer functions
  • Train Artificial Neural Networks (ANNs) using back propagation and gradient descent methods
  • Optimize ANNs hyper parameters such as number of hidden layers and neurons to enhance network performance
  • Apply ANNs to predict house prices given parameters such as area, number of rooms..etc
  • Assess the performance of trained Machine learning models using KPI (Key Performance indicators) such as Mean Absolute error, Mean squared Error, and Root Mean Squared Error intuition, R-Squared intuition, Adjusted R-Squared and F-Test
  • Understand the underlying theory and intuition behind Lasso and Ridge regression techniques
  • Sample real-world, practical projects

Who this course is for:

  • Data Scientists who want to apply their knowledge on Real World Case Studies
  • Machine Learning Enthusiasts who look to add more projects to their Portfolio

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