Musonda Katongo

- 7 min

Statistical Concepts for Data Science

Fundamental statistical concepts play a crucial role in data science because they provide the necessary mathematical framework and tools

Musonda Katongo

- 4 min

NAICS Time Series Data Analysis

In this post, we demonstrate data preparation techniques and analysis using the Employment data classified by industry

Musonda Katongo

- 4 min

Data Visualization using Matplotlib in Python

Matplotlib is a handy python library that is used for developing various types of visualizations.

Musonda Katongo

- 3 min

Pandas Techniques for Data Manipulation in Python

Pandas is a popular python library that is suitable for performing the various data preparation. In this post we explore a number of Pandas

Gilbert Temgoua

- 6 min

Time Series Forecasting: Bitcoin Price

Introduction Bitcoin (BTC) was the first cryptocurrency ever created. It is a peer-to-peer technology which allows operations between its...

Amr Mohamed Salama

- 7 min

The 10 Statistical Concepts for Data Science

Introduction Content: 1. Types of Analytics 2. Population and sample 3. Central Tendency 4. Measure of...

TEMFACK DERICK

- 4 min

Principal Component Analysis with Python

In a machine learning workflow, we generally have to deal with high-dimensional datasets. But most of the time, many features in those...

asma kirli

- 6 min

Machine Learning Concepts: Classification and Regression Trees with Scikit-Learn

“Data is a precious thing and will last longer than the systems themselves.” – Tim Berners-Lee For banks to figure out if they should...

mrbenjaminowusu

- 10 min

10 Fundamental Statistical Concepts For Data Scientists

Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to...

Ajibola Salami

- 5 min

Cross Correlation with Two Time Series in Python

Ever wanted to check the degree of synchrony between two concepts over time? Put differently, how does a given concept X correlate with...