Theory and practical implementation of logistic regression using sklearn. Feature selection using RFECV. Theories behind KNN, SVM and Naive Bayes algorithms. Different Algorithms for Clustering. Different methods to deal with . Decision trees and random forest. Different algorithms for clustering . Different algorithms- Adaboost, Gradient Boosting and XgBoost. Different algorithms to . deal with data transformation with linear and logistic . regression. Data transformation . Data transformation with . linear and Logistic regression. The ability to analyze the performance of models. A to Z : 5 Machine Learning Projects . 5 machine learning projects .
What you’ll discover in 2022 Machine Learning A to Z: 5 Machine Learning Projects
- Theory and also practical execution of straight regression making use of sklearn.
- Theory and also practical execution of logistic regression utilizing sklearn.
- Feature choice using RFECV.
- Information change with straight and also logistic regression.
- Analysis metrics to assess the efficiency of models.
- Sector significance of linear and logistic regression.
- Math behind KNN, SVM as well as Ignorant Bayes algorithms.
- Execution of KNN, SVM and also Naive Bayes making use of sklearn.
- Attribute selection techniques- Gini Index as well as Degeneration.
- Math behind Decision trees as well as arbitrary woodland.
- Boosting algorithms:- Adaboost, Slope Boosting and also XgBoost.
- Different Formulas for Clustering.
- Various approaches to deal with unbalanced data.
- Implementation of Correlation Filtering.
- Implementating Variance Filtering.
- Execution of PCA & & LDA.
- Execution of Content and also Collaborative based filtering system.
- Applying Particular Worth Decomposition.
- Application of Different formulas made use of for Time Collection projecting.
- Case studies.
- Hands on Real-World examples.
Description
Crazy about Information Scientific Research as well as Machine Learning?
This program is an excellent suitable for you.
This course will certainly take you detailed right into the world of Artificial intelligence.
Artificial intelligence is the research study of computer algorithms that automates analytical design structure. It is a branch of Artificial Intelligence based on the idea that systems can learn from data, recognize patterns and also make decisions with minimal human treatment.
Machine Learning is proactively being made use of today, maybe in much more areas than one world anticipates.
It has a great deal of subjects and also this course will certainly cover all detailed.
Who this course is for:
- Anyone who want to start a career in Machine Learning.
- Students who have at least knowledge in linear algebra, calculus, statistics, probability and who want to start their journey in Machine Learning.
- Any people who want to level up their Machine Learning Knowledge.
- Software developers or programmers or Tech lover who want to change their career path to machine learning.
- Technologists who are curious about how Machine Learning works in the real world.
- Anyone who has already started their data science journey and now want to master in machine learning.
- If you have no prior coding or scripting experience, This course is completely for you. This Course also includes Python Fundamental for beginners.
| File Name : | 2022 Machine Learning A to Z : 5 Machine Learning Projects free download |
| Content Source: | udemy |
| Genre / Category: | Development |
| File Size : | 1.07 gb |
| Publisher : | Data Is Good Academy |
| Updated and Published: | 08 Aug,2022 |
