In this article, we will explore how to create ensemble models with PyCaret.
Author Archive | Jayita Gulati
Building a Custom Model Pipeline in PyCaret: From Data Prep to Production
Building a custom model pipeline in PyCaret can help make machine learning easier. PyCaret is able to automate many steps, including data preparation and model training. It can also allow you to create and use your own custom models. In this article, we will build a custom machine learning pipeline step by step using PyCaret. […]
7 Machine Learning Projects For Beginners
The adoption of machine learning (ML) continues at a rapid pace, as it has proven itself a powerful tool for solving many problems. A good way to learn ML is by working on projects, especially those that are able to give you real, valuable experience. In this article, we will discuss 7 simple machine learning […]
10 Podcasts That Every Machine Learning Enthusiast Should Subscribe To
Podcasts are a fun and easy way to learn about machine learning. Machine learning is a fast-changing field. New ideas and tools come out all the time. Podcasts help you stay updated on these changes. They often feature interviews with experts and researchers. You can hear about their work and get insights into the latest […]
The Ultimate Guide to Building a Machine Learning Portfolio That Lands Jobs
Introduction In an industry as competitive as machine learning (ML), job position candidates need a well-structured portfolio and access to all the avenues to gain industry exposure. The field of machine learning is always evolving, and at a rapid pace, with new techniques and applications emerging constantly. As organizations seek talented professionals who can tackle […]
Building Your First Chatbot: A Hands-On Tutorial with Open-Source Tools
A chatbot is a computer program that can talk to people. It can answer questions and help users anytime. You don’t need to know a lot about coding to make one. There are free tools that make it simple and fun. In this article, we will use a tool called ChatterBot. You will learn how […]
Anomaly Detection Techniques in Large-Scale Datasets
Anomaly detection means finding patterns in data that are different from normal. These unusual patterns are called anomalies or outliers. In large datasets, finding anomalies is harder. The data is big, and patterns can be complex. Regular methods may not work well because there is so much data to look through. Special techniques are needed […]
Leveraging Transfer Learning in Computer Vision for Quick Wins
Computer vision (CV) is a field where machines learn to “see” and understand images or videos. It helps machines recognize objects, faces, and even actions in photos or videos. For example, CV is used in self-driving cars to detect road signs and people, or in medical scans to spot diseases. Training a CV model from […]
5 Free Datasets to Kickstart Your Machine Learning Projects Today
There are many free datasets online that help you practice and learn. These datasets allow you to try different machine learning techniques and improve your skills. You can find these datasets on platforms like Kaggle and UCI Machine Learning Repository. Here are five free datasets that can help you start your machine learning projects. 1. […]
From Data to Insights: A Beginner’s Journey in Exploratory Data Analysis
Every industry uses data to make smarter decisions. But raw data can be messy and hard to understand. EDA allows you to explore and understand your data better. In this article, we’ll walk you through the basics of EDA with simple steps and examples to make it easy to follow. What is Exploratory Data Analysis? […]