Machine Learning- Page 2 of 11

Naveen Pandey
August 22, 2023November 15, 2025

What is Feature Engineering in Machine Learning | Feature Engineering Techniques

If you are into machine learning, then you probably know that feature engineering is an important step in building a machine-learning model that actually works. Feature engineering is the process of transforming existing features or creating new features to improve the performance of a machine-learning model. Feature engineering is the process of taking raw data…

Naveen Pandey
July 31, 2023November 15, 2025

Top 10 AI and ML Project Ideas for 2023

Artificial Intelligence (AI) is a rapidly growing field that can seem daunting to beginners. However, there are many basic AI projects that beginners can take up to gain experience and knowledge. In this blog post, we will explore 10 AI and ML projects ideasthat are perfect for beginners. These projects cover a wide range of…

Naveen Pandey
July 19, 2023November 15, 2025

Implementing Linear Regression from Scratch with Python

Linear regression is a fundamental machine learning algorithm that allows us to predict numerical values based on input data. In this article, we will see how to implement linear regression from scratch using Python. We will break down the code into simple steps, explaining each one along the way. So, let’s understand how linear regression…

Naveen Pandey
July 14, 2023November 16, 2025

Parkinson’s Disease Detection using Machine Learning Algorithm

In this step-by-step tutorial we will walk through the step-by-step process of building Parkinson’s Disease detection using machine learning. Parkinson’s Disease is a neurodegenerative disorder that affects millions of people worldwide. Early detection of the disease is crucial for effective management and treatment. In this article, we will explore how machine-learning techniques can be employed…

Naveen Pandey
July 11, 2023November 16, 2025

How to get internship into Data Science

In today’s IT industry, data science has become a prominent buzzword. With many job opportunities and lucrative salaries, this is an exciting field to explore. If you want to start your career in data science, securing an internship is a great starting point. In this article, I’ll cover some valuable tips and tricks to help…

Naveen Pandey
July 5, 2023November 16, 2025

Precision, Recall & F1: Understanding the Differences Easily Explained for ML

When it comes to evaluating the performance of our machine learning models, two main metrics are considered: precision and recall. These metrics are the basis for evaluating the effectiveness and reliability of the model’s prediction. In this article, we will discuss the complexities of precision and recall, their significance, and how they are used in…

Naveen Pandey
July 3, 2023November 16, 2025

Brain Tumor Detection using Support Vector Machine

Brain tumor detection plays an important role in diagnosing and treating brain-related diseases. With advancements in machine learning and image processing techniques, it is now possible for us to automate the process of tumor detection using computer algorithms. In this article, we will look at the code implementation that uses machine learning models to detect…

Naveen Pandey
June 9, 2023November 16, 2025

A Comprehensive Guide on Hyperparameter Tuning

Hyperparameter tuning is an important step in the machine learning pipeline, as it can significantly impact the performance of your Machine learning model. In this article, we will talk about what is hyperparameter tuning, its importance, how it works, popular techniques, its impact on model performance, and how we can choose the right hyperparameters for…

Naveen Pandey
June 5, 2023November 16, 2025

Python for Machine Learning: A Beginner’s Guide

Introduction to Python for Machine Learning Python has emerged as an effective programming language for Machine Learning and Data Science. In this beginner’s guide, we’ll cover the basics of Python and learn how to use it to build and train machine learning models. Installing Python and Required Libraries 1 – Download and Install Python: Visit…

Naveen Pandey
May 8, 2023November 16, 2025

10 Tips for building Machine Learning Models with Scikit-learn

At the heart of machine learning is the ability to create models that can learn from data and make predictions based on new, never-before-seen data. Scikit-Learn is a powerful library for building machine learning models in Python. Here are our top 10 tips for building machine learning models with Scikit-Learn. 1 – Start with a…

Naveen Pandey
May 7, 2023November 16, 2025

5 Tips to Maximize Performance when Working with Image Data in ML

When working with image data in machine learning, achieving optimal performance can be challenging. Fortunately, there are several best practices to follow to maximize model performance. Here are five tips to get you started: 1 – Get More Data One of the easiest ways to increase the accuracy of your image recognition model is to…

Naveen Pandey
May 5, 2023November 16, 2025

10 Essential Tips for Building ML Models for Anomaly Detection

Anomaly detection is an important component of many data-driven applications. It enables us to efficiently identify anomalous behaviour and detect malicious activities that may otherwise be difficult to spot. In this blog post, we will discuss 10 essential tips for constructing machine learning models for anomaly detection with respect to data pre-processing, feature selection and…