Decision Tree is a very popular algorithm for machine learning because it has shown very good success for predictive modeling and also it is easy to explain to stakeholders. This…
Support vector machine is one of the oldest and still popular machine learning models. I wrote on Support Vector Machine Classifier before. So I thought it is necessary to also…
I have a few tutorials on Exploratory Data Analysis before. But I feel I should do some more of that. Taking a dataset and explore it, doing the data cleaning, analytics, visualization,…
https://www.youtube.com/watch?v=nB8RnKwl3KITFIDF is a method to convert texts to numeric form for machine learning or AI models. In other words, TFIDF is a method to extract features from texts. This is…
Support vector machine is one of the oldest and till popular machine learning models. I wrote tutorials on more complex deep learning methods before but I should work on some…
I have been writing tutorials on Machine learning, deep learning, data visualization, analysis, and statistics for some time. But I realized I didn’t write too much about some simple machine…
Precision, recall, and f1-score are very popular metrics in the evaluation of a classification algorithm. It is very easy to calculate them using libraries or packages nowadays. But I believe…
Linear regression is the most basic type of machine learning. It is based on the simple straight-line formula we have all learned in middle school. Though there are a lot…
Outliers can be a big problem in data analysis or machine learning. Only a few outliers can totally alter a machine learning algorithm's performance or totally ruin a visualization. So,…
https://youtu.be/BnfLUJkrMjsNull values are a big problem in machine learning and deep learning. If you are using sklearn, TensorFlow, or any other machine learning or deep learning packages, it is required…