Mathematics for Machine Learning & AI: Your 5 Step Guide To Crush The “Math Mountain” Myth
For many aspiring data scientists and machine learning engineers, the mathematics for machine learning and AI can seem like an overwhelming mountain.
Rasath
Beyond EDA: Intelligent Data Preprocessing with LLM-Powered Imputation
This project goes beyond traditional EDA by combining advanced preprocessing techniques with LLM-powered intelligent imputation. It covers missing value handling, outlier detection, encoding, and scaling in a fully automated pipeline.
Step-by-Step Guide to Exploratory Data Analysis
Exploratory Data Analysis (EDA) is the most fundamental and very important step in data science and machine learning. Before we build any machine learning model or present business insights we need to understand the behavior of our data. That is where EDA comes into play.
What is Programming : A Beginner Guide
Have you ever noticed how your phone knows when to buzz, how google gives you the right answers or how video games respond to every click of button you press. Behind all these digital wonders is something invisible and powerful which is known as "Programming".
Machine Learning Engineer Roadmap for 2025
So, now we will dive into step by step roadmap to learn machine learning with the resources mostly free. It doesn’t matter whether you are a beginner or an expert in this field, this roadmap will offer a structured plan to help you navigate the journey of machine learning.
Machine Learning Tools and Mathematics
The process of creating a machine learning model is complex and requires more than just theoretical knowledge; it also calls for a practical grasp of machine learning tools and fundamental mathematics. An outline of the essential instruments and mathematical ideas you'll encounter when creating machine learning models is given in this article.
Steps of Machine Learning Process
Machine learning is a powerful tool that has revolutionized industries by enabling computers to learn and make decisions from data. But how does it all come together? In this article, we’ll take a comprehensive journey through the machine learning process
Machine Learning Problems
Understanding the Different Types of Machine Learning Problems and Their Applications
What is Machine Learning
In todays world machine learning is one of the fastest growing fields in technology industry. According to google trends machine learning related keywords are highly searched globally in the past few years. By 2030, the global AI and Machine learning market is expected to reach $1.6 trillion. Indeed, also ranked machine learning engineers as one of the top 10 jobs in the world with average salary of $ 140,000 annually in United States.