Under-Sampling Methods for Imbalanced Data (ClusterCentroids, RandomUnderSampler, NearMiss)The imbalance of data is a big problem for classification tasks. In python, there is a library to allow to use of many algorithms to handle…Jul 15, 2021Jul 15, 2021
Yellowbrick; Machine Learning VisualizationVisualization is essential to make our analysis or modeling process understandable. We need visualization to see results or workflow…Apr 19, 2021Apr 19, 2021
Feature Selection with BorutaPy, RFE and Univariate Feature SelectionFeature selection is one of the important part of the machine learning pipeline. We may have to struggle with a lot of features or useless…Apr 4, 2021Apr 4, 2021
Random Resampling Methods for Imbalanced Data with ImblearnWe want the data we prepared or analyzed for the model to be perfect. However, data may have missing values, outliers, complex data types…Mar 25, 20215Mar 25, 20215
Feature Scaling with Scikit-Learn for Data ScienceIn the data science process, we need to do some preprocessing before machine learning algorithms. These can be some basic data analysis…Feb 22, 2021Feb 22, 2021
Model Deployment with Streamlit on AWS EC2We have already touched on the importance of model deployment and sharing this model with others. We need to share our model with…Feb 12, 20211Feb 12, 20211
Introduction to Streamlit for Machine Learning Web AppStreamlit is an open-source Python library that makes it easy to build beautiful custom web-apps for machine learning and data science.Feb 5, 20211Feb 5, 20211
Encoding with Pandas get_dummiesWe previously covered the issue of encoding and its importance. In short, machine learning models are mathematical models that use…Jan 24, 20211Jan 24, 20211
Label Encoding vs One Hot EncodingWe need numerical data in data science techniques such as machine learning and deep learning models. We start our analysis with…Jan 18, 20211Jan 18, 20211
Detecting and Handling Outliers with PandasData analysis is a long process. There are some steps to do this. First of all, we need to recognize the data. We have to know every…Jan 15, 20219Jan 15, 20219
