/BasicMachineLearningTask

Code, Resources - Personal Project - CBD Robotics Company - June 14, 2021.

Primary LanguageJupyter NotebookMIT LicenseMIT

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