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Private lessonsStatisticsStatistics in Ankara

1 statistics teacher in Ankara

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1 statistics teacher in Ankara

Dave - Paris, FranceC$77
C$77Machine learning course / project by Doctor in machine learning and actuarial science
Trusted teacher: Hello, I am an experienced machine learning teacher with 5 years of expertise in teaching this discipline at all levels. My expertise using Python and R allows me to teach different machine learning algorithms such as neural networks, decision trees and clustering algorithms. I am also experienced in using popular Python and R libraries such as TensorFlow, Keras, Scikit-learn and ggplot2. In addition to my machine learning skills, I am able to help students read and understand research papers for their presentations, as well as work on projects in Python and R. My commitment to machine learning is passionate and I enjoy sharing my knowledge with my students. If you are interested in my services as a machine learning teacher for all levels, do not hesitate to contact me. In addition to my machine learning skills, I am also able to help you with mathematics, statistics and dissertation writing. I am available to teach the following subjects: 1.Python or R 2. Data exploration 3.Machine learning 3.1. Intro ML 3.2. Linear Model -> Linear Models for Regression and Classification 3.3. kernel -> Kernelization 3.4. Model selection 3.5. model set, -> Bagging / RandomForest, Boosting (XGBoost, LightGBM,...) , Stacking 3.6. Data preprocessing -> Data pre-processing -> Pipelines: choose the right preprocessing steps and models in your pipeline -> Cross validation 3.7. Neural Networks -> Neural architectures -> Training neural nets: Forward pass: Tensor operations and Backward pass: Backpropagation -> Neural network design: Activation functions, weight initialization and Optimizers -> Neural networks in practice: Model selection, Early stopping, Memorization capacity and information bottleneck, L1/L2 regularization, Dropout, Batch normalization 3.8. Convolutional Neural Networks -> Convolved Image -> Convolutional neural networks ->Data increase -> Model interpretation -> Using pre-trained networks (transfer learning) 3.9. Neural Networks for text -> Bag of word representations, Word embeddings, Word2Vec, FastText, GloVe
Math · Statistics · Computer science
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Phoebe - FinlandC$42
C$42Beginner level coding for R - science, statistics, and ecology
Trusted teacher: Becoming a scientist? Statistics and coding skills are an important part of your everyday job. Learn early, practice, and with no time you will be flying through your data analyses before everybody else. Using coding software such as R allows you to interpret and analyse meaningful data and plot beautiful graphs using base R or multiple libraries. I will teach you the basic syntax of R, how to understand and 'think' like R, and build on those skills to do more complicated statistics (ANOVA's, PCA, GLM's, mixed-effects models, etc.) and - the most important(!) - how to plot beautiful graphs! I would recommend this level of tutoring to college and university level students (that's not to deter any of you ambitious secondary/high school students, or people with a general interest, you are more than welcome!). I have put beginner level as the class title, but I am happy to teach higher levels. We can tailor the class to you if you want to focus on syntax, loops, statistics, models, figures/plots, etc. It's up to you! :) About me: I am a PhD researcher who is specialising in Arctic marine ecology with a solid background in marine science and ecology. I am currently based in Finland, Europe, but I am a UK national and studied at both St Andrews University and Southampton University in the UK. I am flexible with timings so if the times listed below don't suit you please contact me and we can organise a time that works for us both.
Computer programming · Science · Statistics
Hendrik - Ixelles-Elsene, BelgiumC$56
C$56👋🤓 [Dutch & English] - Economics/Math/Statistics for pre-school to university students - graduated Master in Business Engineering 🧑‍
Trusted teacher: 🚩Location: Both Leuven and Brussels (Zoom also possible) 🕛Time: very flexible, multiple days a week possible, as well as sessions of several hours *** 🚩Location: both in Leuven and Brussels (Zoom also possible) 🕛Time: very flexible, possible several days a week, as well as several hours in a row *** English *** Hi there 🙂! If you or your son/daughter is struggling with courses such as mathematics, statistics, or economics, I would be very happy to help. I have extensive experience in teaching both high-school and university students in these courses. How will we work 🤔? This depends on the student's needs, of course. In general, we will first take a step back to make certain we understand the structure of the course and the bigger picture, which is essential to be able to understand the details. We will then work through problems to really feel comfortable with the materials. Mostly, I want to make the learning as fun as possible! :) *** Dutch *** Hello 🙂! If you or your son/daughter have trouble with subjects such as mathematics, statistics, or economics, I would like to help you. I have extensive experience in teaching both university and secondary school students. How are we going to handle it 🤔? That mainly depends on the needs. Generally, we will first make sure we understand the structure of the course and its broad outline. This is necessary so as not to get lost in the details and to see how different topics are linked. Only when we understand the concepts will we do exercises to become comfortable with the topics. I'm going to try to make learning more fun!
Math · Economics for students · Statistics
Keivan - Montreal, QC, CanadaC$72
C$72All MATH ENGR MECH Courses (Mechanical Engineering)
Dr. Keivan is a McGill University graduate with the following degrees: Master of Mechanical Engineering (McGill) Bachelor of Mechanical Engineering (McGill) Doctor of Medicine M.D (Iran) Dr. Keivan has more than 15 years’ experience in teaching many MATH, ENGR, and MECH courses for University students. He has been teaching assistant for many courses at Concordia University and McGill University in Montreal, with excellent course evaluation by students. The most featured courses are undergraduate and graduate mechanical engineering courses, and probability and statistics. Both in person and online classes are offered. For more information, you can contact Dr. Keivan at (514)4762075 Concordia Courses: COMM 215: Business Statistics COMP 233: Probability & Statistics ECON 325: Mathematics for Economists I ECON 326: Mathematics for Economists II ELEC 275: Principles of Electrical Engineering ENGR 213: Applied Ordinary Differential Equations ENGR 233: Applied Advanced Calculus ENGR 242: Statics ENGR 243: Dynamics ENGR 244: Mechanics of Material ENGR 251: Thermodynamics I ENGR 264: Signals and Systems I ENGR 273: Basic Circuit Analysis ENGR 301: Management Principals and Economics ENGR 311: Calculus and Partial Differential Equations ENGR 351: Thermodynamics II ENGR 361: Fluid Mechanics I ENGR 371: Probability and Statistics ENGR 391: Numerical Methods INDU 371: Random Processes INTE 296: Discover Statistics MATH 201: Elementary Functions MATH 202: College Algebra MATH 203: Differential and Integral Calculus I MATH 204: Vectors and Matrices MATH 205: Differential and Integral Calculus II MATH 206: Algebra and Functions MATH 208: Fundamental Mathematics I MATH 209: Fundamental Mathematics II MATH 251: Linear Algebra I MATH 252: Linear Algebra II MATH 264: Advanced Calculus I MATH 265: Advanced Calculus II MECH 211: Mechanical Engineering Drawing MECH 215: Programming for Mechanical and Industrial MECH 221: Material Science MECH 313: Machine Drawing and Design MECH 361: Fluid Mechanics II MECH 368: Electronics for Mechanical Engineers MECH 370: Modeling and Analysis of Dynamic Systems MECH 371: Fundamentals of Control Systems MECH 375: Mechanical Vibrations MECH 6121: Aerodynamics PHYS 204: Mechanics PHYS 205: Electricity and Magnetism PHYS 206: Waves and Optics PSYC 315: Statistical Analysis I PSYC 316: Statistical Analysis II SOCI 212: Statistics I SOCI 213: Statistics II STAT 249: Probability I STAT 250: Statistics STAT 360: Linear Models McGill Courses: CIVE 205: Statics CIVE 206: Dynamics CIVE 207: Solid Mechanics CIVE 290: Thermodynamics and Heat Transfer CIVE 302: Probabilistic Systems CIVE 320: Numerical Methods CIVE 327: Fluid Mechanics and Hydraulics ECON 208: Microeconomics Analysis and Applications ECON 227: Economic Statistics MATH 112: Fundamentals of Mathematics MATH 122: Calculus for Management MATH 123: Linear Algebra and Probability MATH 133: Linear Algebra and Geometry MATH 139: Calculus I with Pre-calculus MATH 140: Calculus I MATH 141: Calculus II MATH 150: Calculus A MATH 203: Principles of Statistics I MATH 204: Principles of Statistics II MATH 222: Calculus III MATH 223: Linear Algebra MATH 262: Intermediate Calculus MATH 263: Ordinary Differential Equations for Engineers MATH 270: Applied Linear Algebra MATH 271: Linear Algebra and Partial Differential Equations MATH 315: Ordinary Differential Equations MATH 316: Complex Variables MATH 323: Probability MATH 324: Statistics MATH 329: Theory of Interest MECH 210 Mechanics I MECH 220 Mechanics II MECH 240 Thermodynamics I MECH 289 Design Graphics MECH 290: Design Graphic for Mechanical Engineers MECH 309: Numerical Methods in Mechanical Engineering MECH 314: Dynamics of Mechanisms MECH 315: Mechanics III MECH 361: Fluid Mechanics I MECH 341: Thermodynamics II MECH 346: Heat Transfer MECH 383: Applied Electronics and Instrumentation MECH 393: Machine Element Design MECH 412: System Dynamics and Control MECH 419: Advanced Mechanics of Systems MECH 430: Fluid Mechanics II MECH 513: Control Systems MECH 533: Subsonic Aerodynamics MECH 542: Spacecraft Dynamics MECH 562: Advanced Fluid Mechanics MECH 605: Applied Math I MECH 642: Advanced Dynamics MGCR 271: Business Statistics MGSC 372: Advanced Business Statistics PHYS 101: Introductory Physics – Mechanics PHYS 102: Introductory Physics – Electromagnetism PHYS 131: Mechanics and Waves PHYS 142: Electromagnetism and Optics PSYC 204: Introduction to Psychological Statistics PSYC 305: Statistics for Experimental Design
Mechanical engineering · Math · Statistics
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Our students from Ankara evaluate their Statistics teacher.

To ensure the quality of our Statistics teachers, we ask our students from Ankara to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.3 out of 5 based on 4 reviews.

Statistics and SPSS course (for psychology students) (Peckham)
Joanna
She is flexible and definitely she knows what to do with statistics. I highly recommend her.
Review by FRANCESCA
Mathematics, biology, chemistry tutoring and exam preparation (Vienna)
Sofia
We are very satisfied with Sofia's lesson
Review by TAMARA

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