Machine Learning Expedition

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Machine Learning Expedition

Tokenization in NLP

Tokenization in NLP

Tokenization is one of the most fundamental concepts in natural language processing (NLP). It involves breaking down text into smaller units, or tokens, that are easier for computers to understand. While it may seem simple on the surface, effective tokenization is crucial for building accurate NLP models. In this comprehensive

An Introduction to Linear Regression for Data Science

Linear regression is one of the fundamental machine learning and statistical techniques for modeling the relationship between two or more variables. In this comprehensive guide, we'll cover everything you need to know to get started with linear regression, from basic concepts to examples and applications in Python. Introduction

Machine learning libraries Python

Python has become one of the most popular programming languages for machine learning due to its simplicity and versatility. There are many excellent Python libraries for machine learning tasks like data preprocessing, model training, model evaluation, and more. In this post, we will highlight 5 of the most popular and

Feature Importance With XGBoost in Python

XGBoost is one of the most popular and effective machine learning algorithm, especially for tabular data. Once we've trained an XGBoost model, it's often useful to understand which features were most important to the model. This allows us to gain insights into the data, perform feature

Pandas Tutorial- Data cleaning

Cleaning Data in Python When working with real-world data, it is common to encounter messy or incomplete data that needs to be cleaned before analysis. Here are 5 common techniques in Python for cleaning and preparing data for analysis: 1. Filtering Out Missing Data You can filter out missing data

Pandas Tutorial - Part 1

In this tutorial, we will cover pandas

XGBoost Hyperparameter Tuning

In this blog, we discuss how to perform hyperparameter tuning for XGBoost