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

• https://www.youtube.com/watch?v=zN2Hua6oII0

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

The source code is Open Source and can be found on GitHub.