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Machine Learning

Just A Rather Very Intelligent System


About The Repository

This repository serves as an archive of my learning journey and projects that I have embarked in the realm of Machine Learning and its applications.

Feel free to contact me if you have any queries or spot any mistakes in my implementation.

Table of Contents

This section list out the projects in this repository.

Project Title Descriptions Keywords
Mushroom Edibility Classification Binary Classification to predict the edibility of mushroom with emphasise on model interpretability. Supervised Learning,
Binary Classificaiton,
Feature Selection,
RFE,
Cremer's V,
Decision Tree
King County Housing Regression Predict Housing Prices in King County, USA based on housing attributes. Supervised Learning,
Regression,
Feature Engineering,
Hierarchical Clustering,
Gradient Boosted Trees
Coursera Machine Learning Python Assignments Notes and Python assignments for Machine Learning Course on Coursera by Andrew Ng Supervised Learning,
OLS,
Logistic Regression,
Neural Networks,
SVM,
Unsupervised Learning,
PCA,
Anomaly Detection
Mall Customer Segmentation Clustering Achieve Customer Segmentation through Unsupervised Learning Clustering Algorithms. Unsupervised Learning,
K-Means Clustering,
Silhouette Analysis,
Hierarchical Clustering,
Spectral Clustering,
Clusters Interpretation,
Air Quality Forecasting Forecast the air quality of 4 polution gasses for the next 63 days using Time-Series Forecasting techniques. Supervised Learning,
Time-Series Forecasting,
ACF & PACF,
ARIMA,
SARIMAX,
Kaggle API,
Malaysia COVID-19 Forecasting A preliminary exploration in forecasting the key COVID-19 statistics in Malaysia for the next 15-Day. Supervised Learning,
COVID-19,
Time-Series Forecasting,
ACF & PACF,
SARIMAX,

Prerequisites

The list of standard Python3 packages that I have used for my Machine Learning projects is shown in requirements.txt. To install all of the packages, simply call the following command:

  • pip
    pip install -r requirements.txt

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Zhao Wu Wong, Bryan - @LinkedIn - [email protected]

Kaggle Profile: https://www.kaggle.com/kiritowu

Credits