Udemy – 2022 Machine Learning A to Z : 5 Machine Learning Projects 2022-4

Published on: 2023-01-22 22:28:35

Categories: 28

Descriptions

This course will take you step by step into the world of Machine Learning. Machine Learning is the study of computer algorithms that automates analytical model building. 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, perhaps in many more places than one world expects. It contains a lot of topics and this course will cover all step by step. This Machine Learning course will give you theoretical as well as practical knowledge of Machine Learning. This Machine Learning course is fun as well as exciting. It will cover all common and important algorithms and will give you the experience of working on some real-world projects. We have covered each and every topic in detail and also learned to apply them to real-world problems. There are lots and lots of exercises for you to practice and also a 5 bonus Python Machine Learning Project “Employee Promotion Prediction”, “Predicting Medical Health Expenses”, “Determining Status for Loan Applicants” and “Optimizing Crop Production”.

In this Python Machine Learning Employee Promotion Prediction project, you will learn how to Implement a Predictive Model for Identifying the Right Employees deserving of Promotion. Also, learn how to balance Imbalanced Datasets. In this Python Machine Learning Predicting Medical Health Expenses project, you will learn how to Implement a Regression Analysis Predictive Model for Predicting the Future Medical Expenses for People using Linear Regression, Random Forest, Gradient Boosting, etc. In this Python Machine Learning Determining Status for Loan Applicants project, you will learn how to Implement a Classification Analysis Predictive Model for Determining whether a Person should be Granted a Loan or Not. In this Python Machine Learning Optimizing Crop Production project, you will learn about Precision Farming using Data Science Technologies such as Clustering Analysis and Classification Analysis. You will be able to Recommend the best Crops to Farmers to Increase their Productivity.

What you’ll learn

Theory and practical implementation of linear regression using sklearn.
Theory and practical implementation of logistic regression using sklearn.
Feature selection using RFECV.
Data transformation with linear and logistic regression.
Evaluation metrics to analyze the performance of models.
Industry relevance of linear and logistic regression.
Mathematics behind KNN, SVM and Naive Bayes algorithms.
Implementation of KNN, SVM and Naive Bayes using sklearn.
Attribute selection methods- Gini Index and Entropy.
Mathematics behind Decision trees and random forest.
Boosting algorithms:- Adaboost, Gradient Boosting and XgBoost.
Different Algorithms for Clustering.
Different methods to deal with imbalanced data.
Implementation of Correlation Filtering.

Who this course is for

Theory and practical implementation of linear regression using sklearn.
Theory and practical implementation of logistic regression using sklearn.
Feature selection using RFECV.
Data transformation with linear and logistic regression.
Evaluation metrics to analyze the performance of models.
Industry relevance of linear and logistic regression.
Mathematics behind KNN, SVM and Naive Bayes algorithms.
Implementation of KNN, SVM and Naive Bayes using sklearn.
Attribute selection methods- Gini Index and Entropy.
Mathematics behind Decision trees and random forest.
Boosting algorithms:- Adaboost, Gradient Boosting and XgBoost.
Different Algorithms for Clustering.
Different methods to deal with imbalanced data.
Implementation of Correlation Filtering.

Specificatoin of 2022 Machine Learning A to Z : 5 Machine Learning Projects

Publisher : Udemy
Teacher : Data Is Good Academy
Language : English
Level : All levels
Number of Course : 412
Duration : 26 hours and 15 minutes

Content of 2022 Machine Learning A to Z : 5 Machine Learning Projects

Machine Learning A to Z : 5 Machine Learning Projects

Requirements

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