🚀 Machine Learning Content 2025 | IEEE FCIH

Welcome to the Machine Learning Content 2025 repository! This repo contains structured machine learning sessions designed for IEEE FCIH SB members, covering foundational to advanced ML topics with slides, code, and tasks.

📌 Goal: Provide a hands-on learning experience for students and enthusiasts in AI & Machine Learning.

---

📅 Sessions Overview

📌 Session Title	🏷️ Tags	📜 Slides	💻 Code	🎯 Task
Session 1: Introduction to ML	Intro to Machine Learning,Intro to AI, Supervised Learning , AI market, Python	Slides	Code	Task
Session 2: Linear Algebra for ML	Vectors, Linear Combinations, Linear Transformations, matrix multiplication, Norms, Norms and distance, Dot product, cosine similarity, Determinants	Slides	Code	Task
Session 3: Calculus for ML	Limits, Continuity, Differentiation, Numerical differentiation, Partial derivative, Chain rule, Gradient, Jacobian, Optimization, Gradient Ascent, Gradient Descent, learning rate effect	Slides 📺Video ✨GD visualisation✨	Code	Task
Session 4: Statistics and visualisation	Sampling, Bootsrapping, Measures of location, Measures of variation, Degree of freedom (DoF), Measures of position, Percentiles, Quartiles, Box plot, Outlier, Standard Scores, Standardization, conditional probability, Bayes' Theorem, probability mass function, Mathmatical expectation, Bernoulli distribution, Binomial distribution, Poisson distribution , Normal distribution, central limit theorem (CLT), likelihood, Maximum likelihood estimation MLE	Slides 📺Video	code 📺Video	🚫No task
Session 5: Exploratory Data Analysis (EDA)	missing data, data skewness, outliers, plotting	🚫	Code Dataset 📺Video	🔜
Session 6: Linear Regression	regression,Linear regression, Loss function, Cost function, Mean Absolute Error (MAE), Mean Squared Error (MSE), residuals, Normal equation, Gradient descent, Stochastic Gradient Descent, mini-batch Gradient Descent, Polynomial regressions, Piecewise Linear Regression	Slides	Code	Task
Session 7: Logistic Regression	Classification, logistic function, sigmoid functions, Odds, logits, log loss, log likelihood, negative likelihood, Cross entropy, Newton method, polynomial regression	Slides	Code	Task
Session 8: Decision Tree	Generalization, Decision Tree Classifier, Decision Tree regressior, Cross validation, Grid search, Tree pruning, Feature importance	Slides	Code	Task
Session 9: Ensembel	Bootsrapping, Bagging, Boosting, stacking, Random Forest, Gradient Boosting, Ada Boosting	Slides	Code ➕Extra code	🚫No task
Session 10: Unsupervised Learning	K-means, Segmentation, PCA, ICA, Audio data, gradio	Slides	Code 📺Video	🚫No task
Session 11: Artificial Neural Networks (ANN)	Perceptron, Simple NN, Activation functions, Logistic, SoftMax, ReLU, Leaky ReLU, Tanh, Loss functions, backpropagation	Slides	Code	🚫No task
Session 12: Convolutional Neural Networks (CNN)	Convolution layer, Pooling layer, Fully connected layer, Dialation, LeNET, AlexNET, VGG16, VGG19, Pretraind-models, fine-tuning, Data Augmentation	Slides 📺Video	Code	🚫No task
Session 13: Sequence Modeling	Sequence data, RNN, LSTM, GRU, Text data	Slides 📺Video	Code 📺Video	🚫No task
Session 14: Transformers	Sequence data, Encoder-Decoder, BERT, BART, GPT, LLM, Attention	Slides	Code	🚫No task

---

Members projects

The project, by a team of 2-3 members, included well-documented code, a 20-30 slide presentation, and a 5-10 minute explanatory video. It was deployed with an interactive GUI using tools like Gradio or Streamlit, and promoted on LinkedIn, GitHub, YouTube, and Kaggle. Key technical elements involved PCA for feature reduction, image segmentation for feature extraction, and model evaluation using metrics like Accuracy and Precision. Hyperparameter tuning was done via k-fold cross-validation and grid search to optimize performance.

🎯 Featured Projects

📹 Video Coming Soon 🤟 Arabic Sign Language Dataset 2022	💳 Credit Card Fraud Detection	👗 Fashion-MNIST	🤲 Sign Language MNIST
📹 Video Coming Soon 🏦 IEEE-CIS Fraud Detection	🏠 House Prices Prediction	🚕 NYC Taxi Trip Duration	🌅 Day & Night Classification

---

👨‍💻 Instructors

👨‍💻 Ziad Waleed - Vice Director

👨‍💻 Mario Mamdouh - Vice Director

---

🌎 Connect with IEEE FCIH SB

Stay updated with our latest events and activities!

📌 Join us and be part of an amazing learning experience! 🚀
✨ Enjoy Learning & Keep Exploring AI! ✨