• Predict car prices using advanced machine learning models. • Investigate the growing electric vehicle (EV) market in Australia. About the data This dataset offers a comprehensive snapshot of the Australian car market with 16,734 rows and 19 features featuring key attributes such as year of...
Create a GCP bucket and a BigQuery Dataset with Terraform The GCP bucket will be used to store the data from the car-prices.zip file in a parquet format file. Then the data will be transferred to a BigQuery table which is stored in the created dataset. We will do the transfer with the...
Dataset Link: https://www.kaggle.com/lepchenkov/usedcarscatalog?select=cars.csv Results Overall, PatternSix’s work involved removing the null values for data pre-processing, data exploratory, normality check, finding the correlation between continuous variables, and finding the mean price difference...
The dataset was sourced from OpenML, and was apparently used for a past Kaggle competition, and possibly for a Chalearn competition. We will test logistic regression, support vector machine and XGBoost classifiers with the scikit-learn package. As the dataset is quite large, we’ll train our ...
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Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more OK, Got it. Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Unexpected end of JSON inputkeyboard_arrow_upcontent_...