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Discover the Best Private Statistics Classes in La Maternitat I Sant Ramon

For over a decade, our private Statistics tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in La Maternitat I Sant Ramon, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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1 statistics teacher in La Maternitat I Sant Ramon

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1 statistics teacher in La Maternitat I Sant Ramon

Trusted teacher: • Consulting & implementation of statistical data analyses • Tutoring in university statistics • All common tests: regression models, correlation analyses, non-parametric tests, visualization, etc. • Flexible appointment scheduling: Last-minute help available • Consultation conveniently via Zoom, MS Teams or Skype • Use of common software: SPSS, R, Jamovi, JASP I offer professional advice or implementation of your statistical data analysis. With my individual service, you will not only receive a complete evaluation according to APA and DGPS standards, but also personal support at the highest level. What I can do for you: • Comprehensive data analysis: I take care of data cleansing, create the necessary syntax (SPSS, R Studio, PSPP) and provide you with a clear, understandable evaluation in German or English. • Custom visualizations: Graphical representations and customized tables for descriptive statistics that are specifically tailored to your needs. • Hypothesis testing and modeling: Whether simple regressions, analyses of variance or complex structural equation models – I will help you to optimally answer your research questions. Why my service is the right choice: • Professional expertise: As an experienced data analyst with a psychological background, I offer you well-founded analyses that meet the highest scientific standards. • Transparency and openness: Each analysis is delivered with complete documentation, including understandable syntax and analysis documentation. • Individual support: You are the focus throughout the entire process. I will address your specific needs and accompany you step by step so that your results are scientifically sound and meaningful. Your added value: • Stress reduction: Leave the complex tasks of data analysis to me and concentrate on the content of your work. This will minimize stress, especially when you are under time pressure. • High quality and reliability: Each evaluation is carried out carefully and in compliance with strict scientific guidelines to ensure the best possible results. • Many years of experience: By supervising hundreds of theses and projects, I bring sound expertise and practical experience to every new project. Take the opportunity to put your statistical analysis in professional hands. Contact me today and request your individual offer – the next step towards your successful scientific work!
Psychology (for students) · Social studies · Statistics
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
Computer programming · Science · Statistics
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Our students from La Maternitat I Sant Ramon evaluate their Statistics teacher.

To ensure the quality of our Statistics teachers, we ask our students from La Maternitat I Sant Ramon to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.6 out of 5 based on 9 reviews.

Mathematics, Statistics, PACES and IB students (Lyon)
Ceren
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Excellent lesson and much enjoyed by my son. More lessons booked!
Review by JAN
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