Data Science
-
How to Perform ML Alogorithm Evaltuation?
.
Evaluating machine learning models is more than just checking accuracy. It is about understanding how a model behaves under different conditions and ensuring it aligns with business goals. Whether…
-
How to perform Feature Selection in Machine Learning – Comparing SHAP, Feature Importance and RFECV
.
Feature Selection in Machine Learning: Comparing SHAP, Feature Importance and RFECV Feature selection is an important step in machine learning because having more features does not automatically mean having…
-
Mastering Exploratory Data Analysis (EDA) with Python and Pandas: An E-Commerce Case Study
.
Data in its raw form is rarely ready for decision-making. It arrives messy, incomplete, and full of hidden anomalies. Before building predictive machine learning models or deploying dashboards, data…
-
How to Compare Machine Learning Models – Final Report
.
Introduction Machine learning provides a wide range of algorithms that can be used to solve prediction and classification problems. However, choosing the right model is an important part of…
-
Finding The Best Supervised and Unsupervised Machine Learning Models
.
Machine learning models involves choosing the right approach for a particular problem and evaluating whether the selected model performs reliably. As part of my Data Science internship at Valentius…
-
How to Find Content Trends with Python & Power BI – Case Study of Netflix
.
Introduction In this project, I explored the Netflix Titles dataset to understand what type of content dominates the platform. As a Data Science Intern at Valentius Kryptix, my goal…
-
What is Supervised Machine Learning?
.
Machine learning is one of the most important areas of modern artificial intelligence (AI). It allows computers to learn patterns from data and make predictions or decisions without being…
-
Data Visualisation: How to Turn Data into Meaningful Insights
.
Introduction In today’s data-driven world, organisations collect large amounts of information, but raw data alone is difficult to understand and use effectively. Data visualisation provides a way to transform…
-
Supervised Learning: Comparing 5 Machine Learning Classification Algorithms
.
Introduction Supervised Learning is one of the most widely used approaches in machine learning for solving classification and prediction problems. In this project, I explored supervised learning by comparing…
-
What is Machine learning? Regression from scratch
.
Machine learning (ML) is a branch of artificial intelligence that enables computers to learn from data, identify patterns, and make predictions without being explicitly programmed. By utilizing algorithms rooted…