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I specialize in teaching Hands on Machine learning with Python. I can teach with real case studies and in layman's language. This class is for the candidates aspiring to learn data science or having problem with their projects or any other work.

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Greetings! I am a geospatial analyst at Transport for London and I specialise in running statistical analysis in R and Python, as well as analysing large sets of data and building and running Geographic Information Systems (GIS) through different technologies. As part of my specialisation, I teach and assist early and mid-career individuals with data science and statistics, including the programming languages Python and R. I would be more than happy to help with specific projects the students have in mind, if applicable. Otherwise, I have student-focused study programmes that provide the foundations as well as more advanced knowledge and skills. Feel free to contact me for a chat!

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With 14 years of experience teaching mathematics in middle and high school, I offer you tailor-made support to help you progress in math. Whether you want to fill in your gaps, prepare for an exam (brevet, baccalaureate) or simply deepen your knowledge, I am here for you. My private lessons, given online or at home, are adapted to your pace and your specific needs. I guarantee you a clear and effective pedagogy, as well as personalized follow-up to help you succeed. Specializing in 3rd, Brevet and Terminale levels, I help you acquire the methods and tools necessary to master mathematics and enjoy learning them. My goal is to help you improve your math skills quickly and prepare effectively for the bac/brevet. I am also attentive to students experiencing academic difficulties and I can offer you personalized support to overcome your difficulties. I am considered one of the best online math tutors. I also offer math support for French mission students and math help for international students wishing to follow the French curriculum. I offer a full range of services in mathematics: Private lessons: at home or online Personalized academic support: for all levels and all programs Preparation for exams: brevet, baccalaureate, competitive examinations Homework help: for regular monitoring Intensive courses: for rapid progress Specific support: for students in difficulty, students on French missions, international students Thanks to my personalized math lessons, you will be able to: Understand the concepts in a clear and simple way Solve the exercises with ease Gaining self-confidence Pass your exams with flying colors I am here to help you discover the fun of mathematics and reveal your potential. Feel free to contact me for more information.

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PhD student in Applied Mathematics offers mathematics, statistics courses for high school students, bachelor's and master 1 & 2 as well as college I have experience for 6 years

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I am Rhune, 23 and am currently working on my master's degree in pure mathematics at Ghent University. I have been tutoring high school students for about five years. I prefer to do this online, but for students from Ghent (or those who can easily travel to Ghent), this can also be done face-to-face. I provide extra diagrams and summaries so that the structure and overview of the subject matter is not lost. Furthermore, I focus on the student doing exercises themselves. In this way, I discover where the pain points are exactly, and then we can work on them together.

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As a highly qualified mathematics teacher, graduate of the Teachers College and with 11 years of teaching experience in public high schools, I am happy to offer at-home mathematics tutoring courses for secondary school classes. 2nd and 1st general, Terminal specialty of the French system, as well as the 5th, 4th and 3rd levels of the college. students at level T and Common Core Sciences, TC Technological, 1st Bac Experimental Sciences and final year of all sectors (SVT-PC-SC.Math-L). My primary objective is to help students improve their level, deepen their knowledge, assimilate their lessons, fill their gaps and improve their skills in the discipline of mathematics. In addition, I am perfectly able to support them in the preparation of their exams and competitions for access to the Grandes Ecoles, and to provide them with homework help so that they can succeed in this subject. With my advanced math skills and knowledge, I am confident that I can provide my students with effective tools and techniques to help them progress. My goal is to give them confidence and help them develop a passion for mathematics, a subject that can seem daunting at first, but can be exciting and rewarding if taught in an interesting and fun way. By choosing my tutoring courses in mathematics, students can expect to receive individual attention and personalized help to overcome their difficulties and achieve their goals. My teaching approach is interactive and student-centered, which allows for a deeper understanding of mathematical concepts and a more practical application of acquired knowledge. In summary, I am confident in my skills as a math teacher to help students of all levels progress and succeed in this demanding subject. I am convinced that my dynamic and stimulating teaching methods will help my students achieve their math goals and build a confidence that will follow them throughout their lives.

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[FR/ENGL] Are you preparing for math assessments or exams? I'm here to help! I offer private lessons in math, statistics, and data science, designed to maximize your chances of success. My approach is based on personalized teaching, clear explanations, and concrete exercises tailored to your needs. During our sessions, we can review theoretical concepts, work on specific exercises or prepare for an exam in a targeted manner. Together, we will put all the chances on your side! Are you preparing for math assessments or exams? I'm here to help you succeed! I offer one-to-one tuition in mathematics, statistics and data science, designed to maximize your chances of success. My approach is based on personalized teaching, clear explanations and concrete exercises adapted to your needs. During our sessions, we can review theoretical concepts, work on specific exercises or prepare for an exam in a targeted way. Together, we'll put all the chances on your side!

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I'm graduated in quantitative Finance and I have a master degree in Financial Mathematics. I'm currently working as a quant in a top Tier bank. This module covers: - Basic statistics (expected value, variance, mean, ...); - Random variable theory; - Regression analysis; - Stochastic processes (AR, MA, ARMA, ARIMA, white noise); - Calibration of models on real data;

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I hold an academic bachelor's degree in Mathematics with distinction and a master's degree in Data Science & Biostatistics with great distinction from Hasselt University. I also have a degree in acting and am a former scout leader (so I have some experience with children). I also worked as a full-time 3rd-grade math teacher for some time. I am currently a PhD candidate in statistics at Hasselt University and teach statistics in various bachelor's programs. We'll explore the problems in a pleasant, relaxed manner, and I'll focus on guiding students through the material, rather than blindly applying it as quickly as possible. Thanks to my years of experience, I also have plenty of exercises and sample exams available.

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Analyst Statistician Analyst and Actuary gives mathematics and statistics courses for all levels. Help with the realization of the statistical and quantitative part during a Bachelor or Master project. Mastery of SPSS and R software Private individual lessons and / or small groups. Ps: Since I'm no longer in Lausanne, I give my classes largely by Skype but I also move to Zurich.

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This class covers statistics and statistical methods for data analysis which cuts across all industry and disciplines. Sample topics, Statistical calculations Statistical methods Statistical analysis Quantitative analysis Quantitative analysis techniques Non Quantitative data analysis Research methods Research methods paper section Mathematical analysis Statistical software and spreadsheets like Rsutdio, Excel, SPSS, and many others. and any statistical topic requests by students

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This lesson provides a simplified and practical introduction to the principles of statistical analysis and is suitable for students and researchers who wish to understand the basics of data analysis in a clear and organized way. We start with the basics, then gradually move on to data analysis, hypothesis testing, and understanding the relationships between variables, with a focus on how to choose the appropriate statistical method and read and interpret the results. Lesson topics: 1. Introduction to Statistical Analysis * The concept of statistics and statistical analysis. * Data types and variables. Levels of measurement. * The difference between descriptive and inferential statistics. 2. Descriptive Statistics Frequencies and percentages. * Arithmetic mean. * Median and mode. * Range and standard deviation. * Reading and interpreting statistical tables and results. 3. Fundamentals of Hypothesis Testing * The concept of the null hypothesis and the alternative hypothesis. * Level of statistical significance (Sig. / p-value). * Understanding the concept of statistical significance. * How to make decisions regarding hypotheses. * Getting acquainted with basic statistical tests and choosing the appropriate test in a simplified manner. 4. Correlation analysis * The concept of the relationship between variables. * Correlation coefficient and interpretation of the direction and strength of the relationship. * Understanding the statistical significance of correlation. 5. Regression analysis * The concept of regression and its importance. Simple and multiple linear regression. * Understanding the relationship between the independent variable and the dependent variable. * Interpretation of the coefficient of determination (R2). * Reading the main results of the regression analysis. 6. Practical application using SPSS * Data entry and organization. * Conducting basic statistical analyses. * Reading SPSS output. * Interpreting the results in a simplified and academic manner. The aim of the lesson: By the end of the lesson, the student will be able to understand the main fundamentals of statistical analysis, work better with data, choose the appropriate analysis initially, and read and interpret basic statistical results using SPSS. This lesson is particularly suitable for students of "Business Administration, Economics, Administrative Sciences, and researchers" who need a strong foundation in statistical analysis.

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This class is for people who already write some Python and now want to build machine learning and generative AI systems that work outside a notebook. I am a Lead Data and Machine Learning Engineer in Berlin with 9 years at Amazon, Delivery Hero, Goldman Sachs and Orion S.A., and I teach the same methods I use at work. WHO IT IS FOR Developers and analysts moving into machine learning or AI roles. Students who understand the theory but have never shipped a model. Founders and product people who want to build a real AI feature rather than a demo. Anyone preparing for machine learning or AI engineering interviews. WHAT WE COVER Framing a problem: what is predictable, what is not, and how to tell before you waste a month. Core machine learning: regression, classification, tree based models, feature engineering. Model evaluation done properly: leakage, class imbalance, baselines, and why your accuracy score is lying to you. Deep learning and natural language processing foundations. Large language models in practice: prompting, structured output, evaluation and cost control. Retrieval augmented generation end to end: chunking, embeddings, vector databases, reranking, and measuring whether the answers are actually correct. Agents and tool use with LangChain and LangGraph. Deployment: turning a model or an AI feature into a service, plus monitoring and drift. HOW IT WORKS We agree on a target project in the first lesson and build towards it. You write the code, I review it live and explain the reasoning. You leave with a working system in your own repository rather than a folder of tutorials. I will tell you honestly when an approach will not survive real traffic or real data. That is the main reason to learn this from someone who runs it in production. PRACTICAL DETAILS Lessons are in English, online via webcam, and I work comfortably across time zones. You need working Python basics for this class. If you are starting from zero, book my Python, SQL and Machine Learning class instead and we build up to this one.