khuchuuanh / machine-learning

Machine learning algorithms implementation

Machine-learning

Introduction

Here is my python source code about implementing machine learning algorithms including supervised learning and unsupervised learning. I also used several kaggle datasets like tranditional datasets and time series datasets to practice with machine learning algorithms. I used to some basic techniques for data science including : Data visualization, data cleaning, data preprocessing, way to choose best parameters as well as best model for data.

Real data

I got a real dataset which was very dirty data. I cleaned this data and preprocess after that choosing appropriate machine learning models to predict the career level for each candidate.

PCA

I learned and used PCA algorithms to reduce and visualization MNIST dataset.

Logistic regression

I learned and implemented logistic algorithm.

Gradient descent

I learned and implemented gradient descent algorithm.

Perceptron

I learned and implemented perceptron algorithm.

Multi layers perceptron

I learned and implemented multi layers perceptron algorithm.

Softmax

I learned and implemented softmax algorithm.

Suport vector machine

I learned and implemented svm algorithm.