Artificial Intelligence ,Machine Learning and Deep learning
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-Loan-Approval-Prediction-Exploratory-Data-Analysis-Machine-learning-on-Loan-Approval-data.
March 19, 2019 – March 19, 2019
# Loan-Approval-Prediction Exploratory Data Analysis + Machine learning on Loan Approval data.
View ProjectCreditCard-Fraud-Detection-using-Machine-learning-Algorithms-
March 19, 2019 – March 19, 2019
Throughout the financial sector, machine learning algorithms are being developed to detect fraudulent transactions. In this project, that is exactly what we are going to be doing as well. Using a dataset of of nearly 28,500 credit card transactions and multiple unsupervised anomaly detection algorithms, we are going to identify transactions with a high probability of being credit card fraud. In this project, we will build and deploy the following two machine learning algorithms: Local Outlier Factor (LOF) Isolation Forest Algorithm Furthermore, using metrics suchs as precision, recall, and F1-scores, we will investigate why the classification accuracy for these algorithms can be misleading. In addition, we will explore the use of data visualization techniques common in data science, such as parameter histograms and correlation matrices, to gain a better understanding of the underlying distribution of data in our data set. Let's get started!
View Projectmachine-learning-python-
March 11, 2019 – March 19, 2019
machine-learning-python- — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on Machine Learning and Data Science, which aligns with the target role of Data Scientist. The diversity of projects (fraud detection, transfer learning, NLP, recommendation systems) indicates a broad interest within the field. However, the lack of team projects or detailed descriptions makes it difficult to assess collaboration or broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.