Vaibhav Shrivastava – Building Innomight

Applying Machine Learning – Machine Learning Diagnostics

This article will be around how to diagnose a machine learning model and fix problems with it. This will also help with choosing the right regularization term, model selection and validation. Designing and training the model is cool but fixing it and making it accurate is important and that is where diagnostics come in. We […]

Digit Recognizer – Building Neural Network From Scratch (Only Numpy and Pandas)

Introduction A neural network in machine learning is a computational model inspired by the structure and functioning of the human brain. It consists of interconnected nodes, or “neurons,” organized into layers. It is said that it is inspired by the structure and functioning of the human brain but I believe the latter to be false […]

Scaling Features – How Scaler Works and Choosing The Right Scaler

Scaling your data is a small data pre-processing step but an important one. Before going into the types and which scaler to use according to different purpose and needs. Let us talk about why do we need to scale. Why is it important and beneficial to scale data and later we will see which scaler […]

Logistic Regression: From Basics to Code

Is it a dog or a cat? Is it male or a female? (Just kidding)Logistic Regression can help you in tasks like above. Tasks that involve classification. In my recent blog, I have discussed about how regression works. We will apply same principles here too but with little tweaks and adjustments. We will implement Logistic […]

The Importance of Feature Engineering in Machine Learning

Feature engineering is the process of transforming raw data into features that better represent the underlying problem to the predictive models, making them more effective. It involves selecting and transforming variables, creating new features from existing ones, and preparing the data for machine learning algorithms. Feature engineering is like sculpting a masterpiece . You begin […]

How Regression Model Actually Works

Try to fit a straight line through the points given below – The line closest to fit the data points above would look something like this – (Suppose this is a graph between price and size of houses) We will call the data used to train a model a training set. Single training example would […]