Data Science - Towards Deep Learning

Data Science

K-means Clustering: Intro with Math and Python

Learn to implement K-Means clustering in Python using customer data, with explanations to understand how the algorithm works.

Data Science

Linear Algebra for Machine Learning: A Python Introduction

Linear algebra provides tools to handle and manipulate complex, high-dimensional data effectively. Key applications include data representation, model training, dimensionality reduction, and neural network operations.

Data Science

Building a Foundation in Data Science

This article illustrates the foundation of data science, covering Basic Data Concepts, Data Collection and Cleaning, and Data Visualization, with illustrations for each section.

Data Science

Regression using Random forest on Custom Dataset

Supervised learning involves training a model on a labeled dataset to predict outcomes. Today, we’ll explore this using a Medical Cost dataset.

Data Science

ML model: Fine Tune Hyperparameters

Tuning hyperparameters significantly improves model performance using Grid Search and Cross-Validation

Data Science

Identifying Outliers in Data: A Comprehensive Guide

Learn about Z-score and IQR methods for detecting outliers in data analysis. Understand their workings, strengths, and weaknesses.