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12 algorithms teachers in Casablanca

Mustafa

$25

60-min

/h

Data Mining Algorithms Training CourseTranslate this text using Google Translate.

Data Mining Algorithms Training CourseTranslate this text using Google Translate.

Data Mining Algorithms and Techniques Training Course - Beginner and Intermediate Level, for Computer Science Professionals and Non-Professionals. The course content (according to my book published on Google Books), is titled: Advanced Analysis and Data Mining. The book can be searched for using its name or the author's name. Table of Contents Chapter 1: Introduction to Advanced Analysis and Data Mining 1-1 What is data mining, its procedures and tools 1-2 What type of data is mined? 1-3 What are databases? 1-4 Relational Database 1-5 Query Language 1-6 Benefits of Database Mining 1-7 months data mining applications A - Business Intelligence (Business Intelligence) B - Internet search engines Chapter Two: Data Recognition 2-1 Data Types, Characteristics, and Features 2-2 Statistical Description of Data 2-3 Visualization of Data 2-4 Measuring data similarity and difference Chapter Three: Preparing Data for Analysis and Mining 3-1 The importance of preparing data for analysis and mining 3-2 Data Cleanup 3-3 Data Integration 3-4 Data Reduction 3-5 Data Transformation and Data Individualization Chapter Four: Pattern Discovery and Exploration, Dependency and Correlation Rules 4-1 Basic Concepts 4-2 Shopping basket analysis (example) 4-3 Evaluating the dependency and correlation rules being explored 4-4 Mining Multi-Level Dependency and Linkage Rules 4-5 Mining multidimensional dependency and correlation rules 4-6 Rules of nominal and quantitative dependency and correlation 4-7 Exploring and identifying rare and negative patterns 4-8 Exploring and Determining the Rules of Dependency and Conditional Linkage 4-9 Evaluating dependency and correlation rules and distinguishing between useful and unhelpful ones 4-10 Measuring the type and strength of the relationship in dependency and correlation rules 4-11 Applications of pattern mining in practical life Chapter Five: Analysis and Mining Using Classification and Prediction Algorithms 5-1 Basic Concepts 5-2 Classification using decision tree extrapolation 5-3 Classification using probability theory (hypothetical theory) 5-4 Classification using hypothetical network theory 5-5 Classification using correlation rules extrapolation 5-6 Classification using neural network algorithm 5-7 Classification using the nearest neighbor algorithm 5-8 Multi-category classification algorithms 5-9 Evaluating the efficiency and selection of classification algorithms Chapter Six: Analysis and Mining Using Cluster Hashing Algorithms 6-1 Basic Concepts 6-2 Clustering by Division 6-3 Hierarchical Clustering A. Hierarchical clustering b. Hierarchical fission 6-4 Probability Clustering 6-5 High-Dimensional Clustering 6-6 Clustering of graphs and network data 6-7 Conditional Clustering 6-8 Cluster Segmentation Assessment Chapter Seven: Analyzing and Mining Outliers and Complex Data Types 7-1 Basic Concepts 7-2 Types of extreme values 7-3 Ways to Explore Extreme Values 7-4 Complex Data Analysis and Mining Chapter Eight: Planning Data Mining Operations and Their Applications in Society 8-1 Planning Data Mining Operations 8-2 Data Mining in the Community 8-3 Data mining applications in vital areas of society 8-4 Practical Application: Recommendation System Usage Scenario Appendix 1: Database Fundamentals Appendix 2: Data Warehouse Fundamentals Appendix 3: Glossary of Data Mining Terms

Ayoub

verified teacher icon
5.0

1 reviews

(1)

$14

60-min

/h

trusted teacher iconTrusted teacher

Algorithms and programming course, suitable for all levels and covering the most popular programming languagesTranslate this text using Google Translate.

Algorithms and programming course, suitable for all levels and covering the most popular programming languagesTranslate this text using Google Translate.

Welcome to my algorithms and programming course, suitable for all levels and covering the most popular programming languages! Whether you are an absolute beginner or want to deepen your programming skills, this course is for you. The objective is to familiarize you with the fundamental concepts of algorithmics and to guide you through the practical learning of different programming languages. In this course, we'll cover topics like control structures, functions, arrays, loops, conditions, and more. You will learn how to design efficient algorithms and implement them in popular languages such as Python, Java, C++, JavaScript and many more. Whatever your favorite programming language, I'm here to guide you in your learning. The teaching method that I adopt is interactive and practical. We will alternate between clear theoretical explanations and practical exercises to strengthen your problem-solving skills. You will have the opportunity to put your knowledge into practice by developing simple programs, solving programming challenges and working on real-world projects. This course is designed to be accessible to everyone. Whether you are a student, a professional or simply curious to learn programming, here you will find the basics necessary to master the essential concepts. I adapt to your learning pace and provide concrete examples to facilitate your understanding. The goal of this course is to give you the skills to tackle any programming language with confidence. By understanding the underlying principles of algorithms and mastering programming structures, you will be able to develop applications, solve complex problems and explore new horizons in the field of programming. No matter your current level, this course will help you progress and achieve your programming goals. Whether you want to learn the basics, improve your skills, or prepare for more advanced challenges, I'm here to walk you through the process. Don't hesitate to enroll in this Algorithms and Programming course, where you will explore popular programming languages and develop your skills to take on exciting new challenges. Book your place now and let's start this adventure together!

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Our students from Casablanca evaluate their Algorithms teacher.

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Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 33 reviews.

Miss Mariam can handle students of any level, whether good or weak. I thank her for giving my son the opportunity to achieve good grades in French. Kawaf

Bon prof

To ensure the quality of our Algorithms teachers, we ask our students from Casablanca to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 33 reviews.

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