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Jim

Greece
C$97

60-min

/h

Personalized Guitar Lessons – Technique, Improvisation & Musical Understanding

Personalized Guitar Lessons – Technique, Improvisation & Musical Understanding

Learn the guitar — don’t just memorize it. My lessons are designed to help you become a more confident, independent and musical guitarist, whether you are a complete beginner, an intermediate player or an advanced guitarist looking to take your playing further. We work on the things that actually make you a better musician: technique, rhythm, fretboard knowledge, improvisation, musical vocabulary, repertoire and music theory applied directly to the guitar. Instead of following a fixed, one-size-fits-all program, I build each lesson around your current level, goals and the areas that are holding your playing back. We identify what you need to improve, work on it systematically, and turn it into practical skills you can actually use when you play. A major part of my approach is understanding how the guitar works rather than simply memorizing shapes, chords or licks. You will learn to see patterns and relationships on the fretboard, understand what you are playing, and gradually become less dependent on someone telling you what to practice next. Depending on your goals, lessons can include electric or acoustic guitar, improvisation, jazz, Gypsy Jazz, harmony, ear training, technique, rhythm guitar, soloing, and developing a structured practice routine. Whether you want to start from scratch, break through a plateau, improve your technique, understand the fretboard, improvise more freely, or simply become a more complete musician, the lessons will be structured around your playing and your progress.

Alina

Romania
C$58

60-min

/h

Italian language as a foreign language, all levels

Italian language as a foreign language, all levels

My name is Alina, and I am from Romania. I discovered my passion for Italian back in high school, when I became so fascinated by the language and culture that I took part in the national Italian Language Olympiad and ranked among the top three students in Romania for two consecutive years. I went on to earn a Bachelor’s degree in Italian and English, followed by a Master’s degree and a PhD. During my studies, I also had the opportunity to live and study in Italy for two years, gaining not only a deeper understanding of the language, but also firsthand experience of Italian culture and everyday communication. I have been teaching Italian as a foreign language for over 15 years, working with both children and adults, at all levels, in individual lessons as well as group courses, including professional training programs for companies. What I consider my greatest asset as a teacher is that, unlike a native speaker who has acquired Italian naturally, I know what it means to learn the language as a foreigner. I understand the difficulties students face, the mistakes they are likely to make, and the connections that can make Italian easier to understand. My background in both Italian and English allows me to draw useful comparisons between the two languages, while my academic training helps me structure and explain grammar in a clear, logical and memorable way. Moreover, I believe that learning a language should be engaging, practical and adapted to the individual student. I use modern, interactive materials and tailor my lessons to each learner’s goals, level and pace. Whether you are starting Italian from scratch, preparing for an exam, looking to improve your conversation skills, or simply want to feel more confident using the language, I am here to help you make real progress. Lessons are available online or face-to-face, and I work with both children and adults. Above all, I value commitment, consistency and mutual respect — I offer maximum seriousness and expect the same from my students.

Mustafa

verified teacher icon
Palestine
C$33

60-min

/h

Data Mining Algorithms Training Course

Data Mining Algorithms Training Course

Data Mining Algorithms and Techniques Training Course - Beginner and Intermediate Level, for Computer Science Professionals and Non-Professionals. The course content 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

Jayaram

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India
C$40

60-min

/h

Applied Data Science Lab: From Raw Data to Business Impact

Applied Data Science Lab: From Raw Data to Business Impact

Overview Transitioning from learning data science theory to solving actual business problems is the hardest step for any aspiring data professional. [Insert Chosen Course Title] is an intensive, mentor-led program designed to simulate a real-world data team environment. Instead of working through synthetic, pre-cleaned textbook datasets, you will take on messy, complex industry scenarios and turn them into end-to-end data products. What You’ll Experience End-to-End Execution: Walk through the full data lifecycle—from problem scoping and data extraction to exploratory analysis, modeling, and executive stakeholder presentation. Industry-Standard Workflows: Work with messy real-world datasets, practice Git-based version control, write production-ready code, and structure reports that business leaders actually care about. 1-on-1 & Group Mentorship: Receive continuous code reviews, architectural feedback, and project guidance mirroring the experience of working under a Senior Data Scientist or Analytics Lead. Portfolio-Ready Deliverables: Graduate with 2–3 complete, polished projects that demonstrate actual business value to hiring managers—not just another churn prediction copy-pasted from Kaggle. Who This Is For Aspiring Data Analysts, Data Scientists, and recent graduates who know Python, but want the practical experience, confidence, and portfolio needed to land high-impact roles in the industry.

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