Python Classes

Python · Intermediate–Advanced

ANFIS Metaheuristics Time Series Forecasting

6 video lessons with PDF guides, 59 min in total. Starts with: Non-Linear Time Series: Dataset, Stationarity, and Patterns.

Python · Intermediate–Advanced

NSGA-II MOPSO Hybrid Multi-Objective Optimization

6 video lessons with PDF guides, 59 min in total. Starts with: Multi-Objective Optimization: Pareto Front, Dominance, and Test Functions ZDT/DTLZ.

Python · Intermediate–Advanced

EKG Arrhythmia Classification Wavelet Deep Learning

6 video lessons with PDF guides, 56 min in total. Starts with: EKG & EEG Signals: Characteristics and Public Datasets (MIT-BIH).

Python · Intermediate–Advanced

Hybrid ML Network Intrusion Detection

6 video lessons with PDF guides, 52 min in total. Starts with: IoT Network Attacks & Intrusion Dataset (NSL-KDD).

Python · Intermediate–Advanced

MIMO-OFDM Channel Estimation Deep Learning

6 video lessons with PDF guides, 57 min in total. Starts with: OFDM and MIMO Basics: Subcarrier, Pilot, Multipath Channel.

Python · Intermediate–Advanced

5G Deep RL Resource Allocation

6 video lessons with PDF guides, 1 h 1 min in total. Starts with: Concept of 5G/6G Resource Allocation: Resource Block, Power, User.

Python · Intermediate–Advanced

Autonomous Vehicle MPC Path Tracking

6 video lessons with PDF guides, 57 min in total. Starts with: Vehicle Bicycle Kinematic Model.

Python · Intermediate–Advanced

PID & FOPID Metaheuristics

6 video lessons with PDF guides, 52 min in total. Starts with: Control System: Transfer Function, Step Response, and Performance Specifications.

Python · Intermediate–Advanced

Quadrotor Control Sliding Mode Control

6 video lessons with PDF guides, 50 min in total. Starts with: 6-DOF Quadrotor Dynamic Model.

Python · Intermediate–Advanced

Reinforcement Learning for Robot Manipulator

6 video lessons with PDF guides, 49 min in total. Starts with: Forward and Inverse Kinematics of a 2-DOF Robotic Arm.

Python · Intermediate–Advanced

Power Quality Disturbance Classification Wavelet

6 video lessons with PDF guides, 40 min in total. Starts with: Types of Power Quality Disturbances: Sag, Swell, Harmonics, Transient, Flicker.

Python · Intermediate–Advanced

Microgrid Energy Management MPC

6 video lessons with PDF guides, 54 min in total. Starts with: Microgrid Components & PV, Wind, Load, and Electricity Tariff Profiles.

Python · Intermediate–Advanced

Electric Load Forecasting with LSTM

6 video lessons with PDF guides, 53 min in total. Starts with: Hourly Electricity Load Data: Daily, Weekly, and Seasonal Patterns.

Python · Intermediate–Advanced

Solar Panel MPPT Fuzzy-Neural

6 video lessons with PDF guides, 1 h 6 min in total. Starts with: Mathematical Model of Solar Cells & Panels: I-V and P-V Curves.

Python · Intermediate–Advanced

Distributed Generation Optimization PSO-GWO

6 video lessons with PDF guides, 1 h in total. Starts with: Radial IEEE 33-Bus Distribution System: Line and Load Data.

Python · Intermediate–Advanced

Occlusion Robust Face Recognition

6 video lessons with PDF guides, 1 h 26 min in total. Starts with: LFW Face Dataset & Creating Synthetic Occlusion (Mask, Sunglasses, Hand).

Python · Intermediate–Advanced

Deepfake Detection Vision Transformer

6 video lessons with PDF guides, 1 h 11 min in total. Starts with: Deepfake Concepts, Manipulation Types & Real vs Fake Face Dataset.

Python · Intermediate–Advanced

Transfer Learning for Leaf Disease

6 video lessons with PDF guides, 1 h 5 min in total. Starts with: PlantVillage Dataset: Folder Structure, Class Distribution & Data Split.

Python · Intermediate–Advanced

Brain Tumor Segmentation with U-Net

6 video lessons with PDF guides, 1 h 10 min in total. Starts with: Brain MRI Dataset & Tumor Mask: Loading, Visualization & Patient-wise Splitting.

Python · Intermediate–Advanced

Deep Learning CNN-LSTM Pneumonia Detection

6 video lessons with PDF guides, 57 min in total. Starts with: Chest X-ray Dataset: Loading, Exploration & Data Splitting.

Python · Beginner–Advanced

Machine Learning Python

18 video lessons with PDF guides, 3 h 41 min in total. Starts with: Introduction to Machine Learning & First Model.