Python
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How to perform Feature Selection in Machine Learning – Comparing SHAP, Feature Importance and RFECV
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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…
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Finding The Best Supervised and Unsupervised Machine Learning Models
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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…
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How to build CRUD Operations using Django Rest Framework
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Introduction During my internship at Valentius Kryptix, I worked on a project focused on developing a REST API using Django. The project was a Task Manager REST API, designed…
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What is Machine learning? Regression from scratch
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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…
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Supervised Learning: Comparing 5 Machine Learning Algorithms on a Real Dataset
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A practical comparison of five supervised learning algorithms—Logistic Regression, Decision Tree, KNN, SVM, and Naive Bayes—trained on the same real-world dataset and evaluated using consistent preprocessing and classification metrics.
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What I Learned by Building Linear Regression from Scratch with NumPy
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A practical look at what I learned while building Linear Regression from scratch using NumPy, including data preparation, Gradient Descent, model evaluation, and comparison with Scikit-Learn during my internship…
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ML Fundamentals: Linear Regression from Scratch Using NumPy
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Learn ML Fundamentals by building a Linear Regression model from scratch using NumPy, Gradient Descent, MSE, and manual model evaluation.
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Statistical Analysis: A Complete Beginner’s Guide to Data-Driven Decision Making
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In today’s data-driven world, organizations generate massive amounts of information every day. However, raw data alone cannot help businesses make better decisions. This is where Statistical Analysis plays a…
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Data Cleaning: A Complete Beginner’s Guide
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Introduction Data cleaning is one of the most important steps in any data analysis or machine learning project. Real-world datasets are rarely perfect and often contain missing values, duplicate…
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Data Visualisation: A Complete Guide to Charts, Dashboards, and Business Insights
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Learn how data visualisation transforms raw business data into meaningful insights using charts, dashboards, and interactive Plotly Dash visualizations.