Machine Learning Zoomcamp

This is my learning journey in machine learning zoomcamp organized by DataTalksClub

I first started my machine learning journey with this course, and I am grateful to DataTalksClub for making this course happen.

Week 1: Introduction to Machine Learning

• Introduction to Python and jupyter notebook
• Introduction to Numpy, Pandas and necessary libraries
• Link

Week 2: Linear Regression

• Linear Regression
• EDA methods
• Regularization parameter
• Link

Week 3: Logistic Regression

• Logistic Regression
• EDA methods
• Correlation and mutual info score
• One-hot encoding
• Link

Week 4: Evaluation Metrics

• Accuracy
• Precision and recall
• F1 score
• Link

Week 5: Model Deployment

• Saving and loading model
• Serving the model with Flask
• Containerization with Docker
• Link

Week 6: Decision Tree

• Decision Tree
• Random Forest
• Gradient Boosting - XGBoost
• Link

Week 7: Project

This week, we start to do a midterm project. I used multi-class classification project on energy load type classification.
The project is done from experiment to containarization.

Here is my project repo - Energy Consumption Model

Week 8: Deep Learning

• Image Classification
• Convolutional Neural Networks
• Tensorflow Keras
• Transfer learning
• Data Augmentation
• Link

Capstone Project

For my final project of the course, I did flower image classification with Tensorflow Keras and transfer learning. The data is the flower images of daisy and dandelion.

Here is the link to my project repo - Flower Image Classification