KucingKU-Bangkit-Machine-Learning-Team

This contains what Machine Learning's team do

1. Data Gathering

• Identify data sources for model training.
• Collect datasets covering various cat breeds.

2. Data Preparation

• Clean data from missing or invalid values.
• Merge different datasets into one main dataset.

3. Data Wrangling

• Preprocess data to prepare features for the model.
• Adjust the data format to fit the needs of the machine learning algorithm.

4. Analyze Data

• Analyze the distribution of features in the dataset.
• Determine features that significantly impact the model's outcomes.

5. Train Model

• Select a suitable machine learning model for the project's goals.
• Train the model using the prepared dataset.

6. Test Model

• Test the model using a separate test dataset.
• Evaluate the model's performance and perform fine-tuning.

Machine Learning Member:

• Taufiq Hidayat
• Ramadhan Putra
• Christolini Angelo