In following the course of Machine learning A-Z at Udemy, I have worked on machine learning for data sciences.
Table of content :
I. Data preprocessing
- Classic data preprocessing
- Natural Langage processing
II. Supervised learning : the training data is labeled with the correct answers
- Regression (finished)
- Classification (finished)
III. Unsupervised learning
- Clustering
- Dimension reduction
IV. Deep learning
- Artificial Neural Networks
- Convolutional Neural Networks
Each time, the course furnished a dataset with a problem to analyze.
- Understand and analyze different algorithms
- Implement them in python
This lesson is only used as a guide. There are often some sidetracks about subjects i want study deeper.