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Applying PCA for Feature Reduction on UCI Bank Data
Principal Component Analysis (PCA) allows us to reduce the dimension of our data while trying to retain most of the information. This method is especially important on datasets with large number of observations and features. Datasets with a large observations and features can get computationally expensive with some models. In…
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CPI Dashboard
The CPI Dashboard gathers various data from US BLS and US EIA website to visualize the trend of CPI values against different commodity over time. CPI Dashboard Preview: https://cpi-dashboard-tjdc.onrender.com/ Obtaining Data from US BLS API: https://thecodingmango.com/updating-data-for-cpi-dashboard-part-1/ Obtaining Data from US EIA API: https://thecodingmango.com/updating-data-for-cpi-dashboard-part-2/ Building the CPI Dashboard using Python Dash:…
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Data Preprocessing for Machine Learning Models
Data preprocessing ensures that the data is ready for analysis, improves the efficiency of subsequent tasks, and contributes to the overall success of data-driven projects. What is the Purpose of Data Preprocessing? So, what is the big deal about preprocessing our data? Well to start, data preprocessing allows for a…
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Bar Plot and Histogram Made Simple
Bar plots and histograms both visualize data distribution. Here, we discuss the usage of both of these visualizations
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Scatter Plot Made Simple: Basics of Data Visualization
Scatter plots are more commonly used to visualize the distribution and correlation between two numerical variables.