by Hyrisky He
This repository compiles the assignments of BUPT PRML courses and my solutions to them.
I also referred Stanford's program.(CS229)
Datasets and problems are mainly from Kaggle.(portal here)
For each assignments, solutions are provided as a Ipython Notebook.
Lectrue notes are also privided in this repository.
CS229_notes_2022_spring
I also have some notes outlining and deducing that I've done in it.
The first task deals with simple models.
- link to the solution: Task 1
The solutions to each exercise can be found in the following notebooks:
- Exercise 1: Kaggle House Price Prediction
- Exercise 2: Titanic(DNF)
- Exercise 3: BostonHousePricesPrediction(the dataset has been removed since ver 1.2)
A comprehensive assignment which contains both theoretical derivation and coding.
- link to the solution: Task 2
The solutions to each exercise can be found in the following notebooks:
- PS1 paperwork: PS1.md
- Program 1: Newton's Method
- Program 2: GDA Practice
A Spam Classifier built with SVM and Naive Bayes.
- link to the solution: Task 3
The solutions to each exercise can be found in the following notebooks:
- Classifier: NB & SVM
- Output: SpamClassifier Output