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...
