Search for a command to run...
Series
We will be covering foundational concepts centered around Data Science and Machine Learning.
Welcome back with a different set of content. As a part of a new year resolution, I will be shifting my focus to this series, comprising of Data Science, Machine Learning, Artifiical Intelligence, Generative AI, RAG etc. So gear up for a exicitng rid...
In this blogpost, we will be amplifying our area of focus on Statistics and Probability, which plays a crucial role in the field of Data Science and Machine Learning. We will also have a look at some of the algorithms and will also look into the prac...
Ever heard of correcting someone’s weakness before they create a huge blunder? Helps a lot in real life, is it? Well it is an important aspect that we should go well prepared for any circumstance, ensuring our weakness are taken care of in advance. T...
Exploratory Data Analysis (EDA) is the process of visually and statistically examining your data to understand its structure, patterns, and potential issues. EDA is very quintessential in answering questions such as “Are there trends or patterns in t...
Feature Engineering is the process of transforming raw data into features that improve a model’s performance. Imagine a scenario; where you are training a model for prediction of house price. The dataset contains “Year Built,” but this doesn’t tell u...
Putting forth the concept of Regression in simple words: Regression is a supervised learning technique used to predict a continuous numerical value based on input features. Before we dive any further, let us recap, what is supervised learning once: ...
