Python Programming
25,000/- PKR
This Course Includes
- Full Time Access
- Access on Laptop & Mobile
- 24/7 Support
- Practical Exercises
- Introduction to Programming
- Python Fundamentals
- Introduction to Python Programming
- Python Basics
- Syntax and Structure
- Python Syntax
- Variables
- Operators
- Data Types
- Control Flow and Loops
- Conditional Statements
- Loops
- Functions and Libraries
- Python Functions
- In-Built Functions
- Lambda Functions
- Python Libraries
- Object-Oriented Programming (OOP) in Python
- OOP Basics in Python
- OOP Pillars in Python
- Exception Handling
- Modules and File Handling
- Reading and Writing Files in Python
- Python Modules
- Introduction to Machine Learning
- Types of Machine Learning
- Machine Learning Applications
- Regression Models
- Linear Regression
- Ridge Regression
- Lasso Regression
- Classification Models
- Naïve Bayes
- Decision Tree
- SVM
- Logistic Regression
- Ensemble Methods and Model Evaluation
- Bagging
- Boosting
- Stacking
- Blending
- Classifier Evaluation
- Feature Engineering and Optimization
- Feature Selection
- Hyperparameter Tuning for Different Classifiers
- Clustering Algorithms
- K-Means
- K-Median
- K-Medoids
- Mid-Term & Project Discussion
- Understanding Models
- Bias and Variance
- Overfitting vs. Underfitting
- Neural Networks and Natural Language Processing (NLP)
- Introduction to Neural Networks
- How Neural Networks Work
- Introduction to NLP
- Hyperparameters in Neural Networks
- Artificial Neural Networks (ANN)
- Perceptron Learning
- Fully Connected Networks
- Activation Functions
- Sigmoid
- ReLU (Leaky and Exponential)
- Tanh
- Softmax
- Convolutional Neural Networks (CNN) and Embedding
- Convolution Operation
- Pooling Layers
- Dense Layers
- Word2Vec
- Sequence Models
- RNN
- LSTM
- GRU
- Regularization Techniques
- L1 Regularization
- L2 Regularization
- Dropout
- Early Stopping
- Generative AI Project 1
- Chatbot 1
- Generative AI Project 2
- Chatbot 2
- Final Project