Data Science & Analytics
20,092 learners
Introduction to Supervised Machine Learning
An overview course into supervised machine learning techniques, focusing particularly on linear and logistic regression. By working with real-world datasets, you will implement both models to predict outputs and analyze the most predictive features.
Numpy
Pandas
Python
Scikit-learn
6 lessons
28 practices
4 hours
Machine Learning and Predictive Modeling
Course details
Diving into the Wine Quality Dataset: An In-depth Overview
Discovering the Wine Quality Dataset
Explore and Debug the Martian Wine Festival Data
Adding the Quality Distribution Histogram to the Red Wine Exploration
Examining Quality Distribution and Missing Values in Red Wine Dataset
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