Posts
Linear Regression, the essential theory
Hello Folks! Welcome back. In this post, I will discuss the theory behind linear regression models, one of the wildly used machine learning models to predict continuous variables (fancy terms to say that we are predicting a number, also referred to as numerical target or label). The model is quite simple to understand yet powerful. We use it when model interpretability (when we want to know which dependent variables, aka features, are the most predictive) is required, like in the consumer lending or medical fields where transparency is at its core. In the next post, we will dive deeper into the coding part of a Linear Regression.
Credit Card Approval Prediction (End-To-End Machine Learning Project)
Welcome back, forks! After a long period of not posting here, I am happy to share that I am back again on MIB. In this post, we will work on an end-to-end machine learning project. I firmly believe this is one of the most detailed and comprehensive end-to-end ML project blog post on the internet. This project is perfect for the beginner in Machine Learning and seasoned ML engineers who could still learn one or two things from this post. This project was featured on Luke Barousse Youtube channel, click here to watch the video.
Demystify Machine Learning
Welcome back! I am very excited about this post as we are introducing machine learning and its commonly used jargon. You will have a broad overview of machine learning, how it works, and even write our first machine learning code at the end of the post. To understand advanced machine learning, we first need to have a good grasp of the fundamentals. That is why I think this is the most important post on this blog so far.
Pandas Exercises Part 3
Pandas Exercises Part 2
Welcome back, guys! We will continue with part 2 in this series of Pandas exercise. I am very excited about this post because we will introducing DataFrame, the most used Pandas data structure. I hope you guys will enjoy this post.