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Johnathan
- Rate RM205
- Response 1h
RM205/h
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- Maths
- Chemistry
- Statistics
Data Scientist & Machine Learning Engineer with extensive tutoring experience in mathematics, statistics, machine learning, R coding, biology, and chemistry.
- Maths
- Chemistry
- Statistics
Lesson location
About Johnathan
I am an admitted MSc student to University of Gothenburg's Applied Biostatistics program and previously worked as a Senior Data Scientist (Imaging) in renal pathology. I conducted research on kidney diseases, ran statistics, designed cell segmentation AI's, built healthcare apps, and classified tissues in medical biopsies.
I am also a master's conferred biology graduate and a master's conferred mathematics graduate. I use the R language, the Tidyverse, Caret, and TensorFlow/Keras for data science research. My biology thesis research was in disease genetics, disease ecology, movement ecology, and statistical methodology. My mathematics thesis was in group theory and machine learning, specifically in using neural networks to solve the Rubik's Cube and other twisty puzzles. I have also worked on projects involving time-series analysis of biosensor data, cluster analysis for identification of amphibian species from audio data, and risk determination and protocol recommendations from roadkill data.
I possess several certificates in data science and machine learning. Techniques that I am well-versed in are deep neural networks, CNNs, twin CNNs, RNNs, NLP, recommender systems, Hopfield networks, generalized linear models, Bayesian regression, Markov chains, PCA & t-SNE, SVMs, kernel density estimation, a range of statistical analyses, encryption & decryption, etc.
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About the lesson
- SPM
- Form 6
- STPM
- +3
levels :
SPM
Form 6
STPM
Adult education
Masters
Doctorate
- English
All languages in which the lesson is available :
English
Subjects tutored are mathematics, statistics, machine learning, bioinformatics, R coding, biology, chemistry, and quantum mechanics.
Online video tutoring or local to Gothenburg only. Please contact 24+ hours in advance. For classes, please provide PDF's of the syllabus and any relevant material. No syllabus = no assistance. For coding, please provide any code already written. Please have at least some code prepared, even if it is a cursory attempt. Attempts at cheating will be reported directly to both Superprof and the professor of your course.
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Rates
Rate
- RM205
Pack rates
- 5h: RM1025
- 10h: RM2050
online
- RM205/h
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