https://github.com/trandangtrungduc/basicmachinelearningtask

Code, Resources - Personal Project - CBD Robotics Company - June 14, 2021.
https://github.com/trandangtrungduc/basicmachinelearningtask

analytics basic-learning classification computer-vision deep-learning machine-learning

Last synced: 6 months ago
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Code, Resources - Personal Project - CBD Robotics Company - June 14, 2021.

• Host: GitHub
• URL: https://github.com/trandangtrungduc/basicmachinelearningtask
• Owner: trandangtrungduc
• License: mit
• Created: 2021-10-04T05:04:33.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2024-08-17T05:45:34.000Z (over 1 year ago)
• Last Synced: 2025-07-08T04:56:09.281Z (6 months ago)
• Topics: analytics, basic-learning, classification, computer-vision, deep-learning, machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 4.13 MB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Basic Machine Learning Task

### Overview

- These are useful projects for beginners and intermediates to approaching Machine Learning. Each ipynb file is a different topic (lesson).

- Dependency: Python and some other libraries are listed in each document (ipynb files).

### Implementation

1. Exploratory Data Analysis and create Report (Analytic_Report).

2. Predict house prices using Linear Regression (Melbourne_Housing_Market).

3. Clean data, visualize and analyze flight data (Airline_Arrivals_Analysis).

4. Applying classification algorithms and PCA to flight data (Airline_Arrivals_Model):

    - Naive Bayes

    - Logistic Regression

    - Decision Tree

    - Random Forest

    - Gradient Boosting

    - Support Vector Machine

### Maintainers

* Tran Dang Trung Duc