feature engineering Archives

Machine Learning: Handling Data Leakage and Other Issues

Louis M2 years ago2 years ago06 mins

Discover the challenges of machine learning, including data leakage and overfitting. Learn strategies to handle these issues and create reliable models.

Steps to Prepare Data for Customer Lifetime Value Prediction Model

Steps to Prepare Data for Prediction Model

Louis M2 years ago2 years ago027 mins

The Importance of Preparing Data for Prediction Models Before implementing any machine learning model, it is essential to prepare the data, as the quality of data directly affects the performance and accuracy of the model. Data is often messy and unstructured, leading to inaccurate predictions or little insights. Hence, preparing data involves a series of…

How to Preprocess Your Data for Optimal Machine Learning Model Performance

Pre-processing Data for Machine Learning

Louis M2 years ago2 years ago07 mins

Get ready to boost your machine learning game! Say goodbye to messy data and hello to optimal model performance with these easy preprocessing tips.

Maximize Customer Spending with Predictive CLV Modeling

Predict Customer Lifetime Value

Louis M2 years ago2 years ago08 mins

Learn how to predict Customer Lifetime Value using machine learning. Follow these 11 steps to prepare your data and train an accurate model. Boost customer enga

Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG

RAG and Fine-Tuning Guide

6 Data Processing Steps for RAG: Precision and Performance

RAG vs. Fine-Tuning: Which One Suits Your LLM?

Fine-Tuning LLMs With Retrieval Augmented Generation (RAG)

RAG vs Fine-Tuning for LLMs: A Comprehensive Guide with Examples

feature engineering

Machine Learning: Handling Data Leakage and Other Issues

Steps to Prepare Data for Prediction Model

Pre-processing Data for Machine Learning

Predict Customer Lifetime Value

Share this:

Share this:

Share this:

Share this: