You can’t make any machine learning or deep learning model without data. You must have a dataset of a particular domain to create a model from it. But many times it happens that you can’t find your desired dataset on a particular website. Here are ways to get the dataset of your choice.
In many scenarios, you want to group columns with respect to one column with their mode values. Especially in categorical columns. So here is how you can group columns with their mode.
Many feature selection techniques include RFE(Recursive feature elimination), VIF(Variance Inflation Factor), VarianceThreshold, and many more. Lasso is one of the feature selection techniques in Data Science, which is used for feature selection for linear regression problems only. Lasso has two use cases. First, it is used to get rid of the overfitting of the linear regression model. And second, as… Continue readingFeature Selection with Lasso Regression in machine learning
Recently I have been searching to convert my images to Webp. But I found that the most popular WebP converter websites were not fully free versions. They are giving let’s say 5 or 10 images to convert to WebP for free and then they will ask to buy their paid version to convert unlimited images. Therefore after some research, I built the flask app to convert my PNG or any other format images into WebP format. So here I provided that app here.
So I was recently doing one machine learning project and I came across a situation where I wanted to sort values of months in the pandas’ DataFrame(Like January, February, etc..). Sorting months in their order is necessary for EDA when you want to create plots on month vs any other feature. So here is a method to sort the month… Continue readingHow to sort pandas DataFrame by month names
To spit data into a training set and test set, you had indeed used the train_test_split library from scikit learn.Here we will talk about one parameter called stratify in train_test_split in a simple way.