Machine Learning in Physics: Glass Identification Problem
Apply machine learning techniques to solve physics problems
4.00 (1 reviews)
21
students
1.5 hours
content
Feb 2022
last update
$19.99
regular price
What you will learn
Learn how to use and manipulate different machine learning libraries and tools to classify the different types of glass.
Visualize you data features with several types of plots such as : Bar plots and Scatter plots with the help of data Viz tools like: Matplotlib and Seaborn.
Build a good sense of exploring and analysing your data from the plotted graphs.
Get insights from data analysis that will help you solve the problem with the most convenient way.
Understand the different steps of Data Preprocessing like : checking the missing data, standardization and scaling, spliting the dataset).
Build and Train multiple State-of- the-art classification models like : Logistic Regression, KNN, Decision Tree and Random Forest Classifiers
Learn how to evalute your models/classifiers with different metrics.
Fine-tune different parameters to boost the performance of your models.
Learn how to set and read a confusion matrix in order to make comparisons between the actual values and the predicted values.
4472198
udemy ID
1/2/2022
course created date
2/2/2022
course indexed date
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