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
7 min read
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 read
Data Visualization using Matplotlib in Python
Matplotlib is a handy python library that is used for developing various types of visualizations.
Musonda Katongo
4 min read
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
Musonda Katongo
3 min read
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...
Gilbert Temgoua
6 min read
The 10 Statistical Concepts for Data Science
Introduction Content: 1. Types of Analytics 2. Population and sample 3. Central Tendency 4. Measure of...
Amr Mohamed Salama
7 min read
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...
TEMFACK DERICK
4 min read
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...
asma kirli
6 min read
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...
mrbenjaminowusu
10 min read
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...
Ajibola Salami
5 min read
