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Discover the Best Private Statistics Classes in Ankara

For over a decade, our private Statistics tutors have been helping learners improve and realise their ambitions. With one-to-one lessons at your home or in Ankara, you’ll enjoy high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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1 statistics teacher in Ankara

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 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 4.5 out of 5 based on 8 reviews.

Mathematics, Statistics, PACES and IB students (Lyon)
Ceren
Excellent lesson and much enjoyed by my son. More lessons booked!
Review by JAN
Mathematics, biology, chemistry tutoring and exam preparation (Vienna)
Sofia
We are very satisfied with Sofia's lesson
Review by TAMARA