Machine-Learning

Machine Learning : Zero to Hero DSCSSUET Workshops

Introduction to Machine Learning:

• Introduction to Machine Learning
• Data Pre-Processing
• Data Visualization

Regression:

1. Simple Linear Regression
2. Multiple Linear Regression
3. Polynomial Linear Regression
4. Support Vector Regression
5. Decision Tree Regression
6. Random Forest Regression

Classification:

1. Logistic Regression
2. K Nearest Neighbor
3. Support Vector Machine
4. Naive Bayes
5. Decision Tree Classification
6. Random Forest Classification

Clustering:

1. K-Means Clustering
2. DBSCAN Clustering
3. Hierarchial Clustering
4. Clustering Project : Customer Segmentation

Neural Network Basics:

1. Intro to Neural Networks
2. Gradient Descent Algorithm Explanation
3. Back Propagation
4. Getting Started with Tensorflow
5. [Neural Networks from Scratch]

Face Recognition