Preperations
From Master of Neuroscience Wiki
Relevant topics for the lectures are
- Object Orientated Programming (i.e. Classes)
- Type Annotation
- Data Class
- Error Handling Try/Except
- Pandas
- Low-Pass, High-Pass, Band-Pass
- Wavelet (& Hilbert)
- PCA, ICA, SVD, ROC, SVM, K-NN, K-Means
- Symbolic Calculation with SymPy, Numerical mathematics (Differential equations, integration)
- OpenCV2
Everything should be covered on this website.
Youtube
However, if you like to watch stuff:
Object Orientated Programming
- Python Classes and Objects - OOP for Beginners https://www.youtube.com/watch?v=f0TrMH9s-VE
- OOP Class Inheritance and Private Class Members https://www.youtube.com/watch?v=6c6NYPjO_rI
- You Should Be Using This For Work/Research in Python | OOP Tutorial https://www.youtube.com/watch?v=TcaUL1uqG_k
Type Annotation
- Type Hinting - Advanced Python Tutorial #6 https://www.youtube.com/watch?v=6KidYEtspNc
- Python Type Hinting and Type-Checking Crash Course with mypy https://www.youtube.com/watch?v=_n22NZwAyo0
Data Class
- How To Use: “@dataclass” In Python https://www.youtube.com/watch?v=mVea6Mu15l8
Try/Except
- Python Beginner Tutorial #8 - Exception Handling https://www.youtube.com/watch?v=uVJx6hU3V20
Pandas
Low/Band/High Pass Filter
- Fourier https://www.youtube.com/watch?v=spUNpyF58BY
- Applied DSP No. 8: Filtering via Fast Fourier Transform https://www.youtube.com/watch?v=u8t-h31baFE
- Applied DSP No. 6: Digital Low-Pass Filters https://www.youtube.com/watch?v=I8_E1ppC3-Q
Wavelets
- Wavelets: a mathematical microscope https://www.youtube.com/watch?v=jnxqHcObNK4
SVD
- Singular Value Decomposition (SVD): Overview https://www.youtube.com/watch?v=gXbThCXjZFM
- Singular Value Decomposition (SVD): Mathematical Overview https://www.youtube.com/watch?v=nbBvuuNVfco
PCA
- Principal Component Analysis (PCA) https://www.youtube.com/watch?v=fkf4IBRSeEc
- Principal Component Analysis (PCA) https://www.youtube.com/watch?v=Oi4SJqJIL2E
ICA
- Independent Component Analysis (ICA) https://www.youtube.com/watch?v=GgLaP4Des1Q
k-NN
- Python Machine Learning Tutorial #3 - K-Nearest Neighbors Classification https://www.youtube.com/watch?v=LwTIHEnnCAM
SVM
- Python Machine Learning #4 - Support Vector Machines https://www.youtube.com/watch?v=99Eyw7Quacc
k-means clustering
- Python Machine Learning Tutorial #6 - K-Means Clustering https://www.youtube.com/watch?v=Hoy6iJW5ryM
Symbolic calculation with SymPy
- SymPy is REVOLUTIONARY For Mathematical Tasks https://www.youtube.com/watch?v=yCuVBd4N4nY
numerical mathematics
- Derivatives In PYTHON (Symbolic AND Numeric) https://www.youtube.com/watch?v=DeeoiE22bZ8
- Integration in PYTHON (Symbolic AND Numeric) https://www.youtube.com/watch?v=2I44Y9hfQ4Q
- How to Solve Differential Equations in PYTHON https://www.youtube.com/watch?v=MM3cBamj1Ms
OpenCV2
- OpenCV Python Tutorial #1 - Introduction & Images https://www.youtube.com/watch?v=qCR2Weh64h4
- OpenCV Python Tutorial #2 - Image Fundamentals and Manipulation https://www.youtube.com/watch?v=wlYPhdTbRmk
- OpenCV Python Tutorial #3 - Cameras and VideoCapture https://www.youtube.com/watch?v=rKcwcARdg9M
