What you would learn in Machine Learning in Python for Absolute Beginners course?
Do You Want to Know What Machine Learning Algorithms Are Implementing in Python?
The course will allow you to learn about machine learning and how to use Python to build solid and reliable machine learning models that can provide solutions to real-world problems. We'll cover topics such as creating data sets to train models and setting up the Python environment on your laptops and desktops. You'll also learn how to use these libraries to analyze and improve the machine-learning models you have created.
This introductory program can help anyone who wishes to begin working on machine learning solutions. This program will introduce theories using real-world situations.
Let's look at the Major Topics We'll be Teaching in this course!
An introduction to Machine Learning with Python
Data Preparation
Tuning and evaluation of Classification Models
Supervised Learning Regression and Classification
In this course, we'll take you through the topics of supervised learning and unsupervised learning.Also, you'll learn about the different algorithms like regression, naive Bayes, decision trees, logistic regression, random forest, KNN, and Support Vector Machines (SVM).
You'll learn how to apply the following steps to create machine learning models with Python.
Installing Python and libraries
Loading the data
Summing up the data
Visualizing the data
Evaluation of the effectiveness of specific algorithms
Making certain predictions
Course Content:
- Learn the basics of the Python programming language used for machine learning.
- Learn how to construct Machine Learning models right from scratch
- Learn how to create algorithms for classification and regression from beginning to end.
- Participate in multiple real-world projects
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