Vehicle Manufacturer Analysis
Industry Project Record
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Issuer
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IEG Campus
k***********ampus.comReceiver
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Eva Nazira Nazry Syah
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Record Details
Vehicle Manufacturer Analysis
A data analysis and machine learning designed to predict fuel efficiency based on engine size and the number of cylinders, built using Python. This system enables accurate predictions of fuel efficiency, making it an invaluable tool for optimizing vehicle performance and making informed decisions in the automotive industry. The project includes comprehensive data import, cleaning, and analysis to ensure high-quality, reliable predictions.
Mandatory data group |
|
| GRID | MY24AAA031AGAB |
| Category | Project Work |
| Subcategory | Industry Project Record |
| Duration | 11-Jul-2024 - 24-Jul-2024 |
| Project type | ProjectNot Funded |
| Team size & role | 3, Participant |
| Record Published On | 8/1/2024 5:14:48 AM |
Earning Criteria
1. Data cleaning 2. Drop outliers to improve data's quality 3. Perform exploratory data analysis (EDA) to uncover insights 4. Data analysis on the data 5. Develop and train predictive models using algorithms such as linear regression, decision tree, and random forest regression 6. Evaluate model performance and optimize for accuracy 7. Generate detailed reports and visualizations of the results
Publishing Organization Details
| Publisher ID | MYAEAAAAA000 |
| Publishing Organization | IEG Campus |
| Publisher Email | ****-***-*** |
Approver Details
| Approver ID | ****-***-*** |
| Approver | ****-***-*** |
| Designation | ****-***-*** |
| Approver Email | ****-***-*** |
| Approved On | ****-***-*** |
Receiver's Details
| Receiver ID | MY24AAA031 |
| Receiver | Eva Nazira Nazry Syah |
| Receiver Email | ****-***-*** |