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Fraud Transactions Prediction Through Machine Learning Model Using DataBricks | EPISODE #3

Mayank codezz 380 1 month ago
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Financial Transactions Dataset: https://www.kaggle.com/datasets/computingvictor/transactions-fraud-datasets _____________________________________ GitHUB: https://github.com/mayankcodezzz/Financial-Transactions-Dataset-Analytics _____________________________________ In this video, we utilize Databricks as our cloud platform to analyze transaction data. By leveraging logistic regression, we developed a model to predict fraudulent transactions. We employed PySpark for efficient data processing and implemented experiment tracking using MLflow within Databricks, integrated with DagsHub. Multiple runs were compared to select the final, optimized model. _____________________________________ Comment databricks to get the code link! _____________________________________ #datascience #machinelearning #bankproject #datasciencebankproject #machinelearningprojectwithbank #financeprojectdatascience #financeproject #histograms #boxplots #polars

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