Description
2022 Machine Learning A to Z : 5 Machine Learning Projects, the complete machine learning course with 5 projects, is published by Udemy Academy. This course will introduce you step by step into the world of machine learning. Machine learning is the study of computer algorithms that automate the creation of analytical models. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention. Machine learning is actively being used today, in more places than you might expect. This course covers a lot of topics and this course will cover all the steps step by step. This machine learning course will give you theoretical and practical knowledge of machine learning. This machine learning course is both fun and exciting. This program covers all the common and important algorithms and gives you experience working on some real projects.
We have covered each topic in detail and also learned to apply them to real world problems. There are plenty of exercises for you to do as well as 5 bonus Python machine learning projects “Skill Upgrading Forecasting”, “Medical Health Cost Forecasting”, “Mining Status for Loan Applicants” and “Production Optimization” has it. In this Python machine learning employee promotion prediction project, you will learn how to implement a predictive model to identify the right employees worthy of promotion. In the Python Machine Learning Project Predicting Medical Health Costs, you will learn how to build a predictive regression analysis model to predict future medical costs using Linear Regression, Random Forest, Gradient Boosting, and more. implement
What you will learn
- Theoretical and practical implementation of linear regression using sklearn
- Theoretical and practical implementation of logistic regression using sklearn.
- Feature selection using RFECV
- Data transformation with linear and logistic regression
- Evaluation criteria for performance analysis of models
- Linear and logistic regression and its relationship with industry.
- The mathematics behind KNN, SVM and Naive Bayes algorithms
- Implementation of KNN, SVM and Naive Bayes using sklearn
- Attribute selection methods – Gini and entropy index
- And….
Who is this course suitable for?
- People who want to start their career in the field of machine learning.
- Students who have at least some knowledge in linear algebra, calculus, statistics, probability and want to start machine learning.
- Anyone who wants to improve their machine learning knowledge.
- Software developers or programmers or technology lovers who want to change their career path to machine learning.
- Professionals who are curious about how machine learning works in the real world.
- Anyone who has already started data science and now wants to become proficient in machine learning.
- If you have no prior coding or scripting experience, this course is perfect for you. This course includes Python basics for beginners.
Specifications of the 2022 Machine Learning A to Z course: 5 Machine Learning Projects
- Publisher: Udemy
- teacher : Data Is Good Academy
- English language
- Education level: all levels
- Number of courses: 412
- Training duration: 26 hours and 15 minutes
Chapters of the 2022 Machine Learning A to Z course: 5 Machine Learning Projects
Course prerequisites
- To make sense out of this course, you should be well aware of linear algebra, calculus, statistics, probability and python programming language.
- A positive attitude to success.
- Persistence in learning
Pictures
Sample video
Installation guide
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English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
22.6 GB
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