Hamza kchok
- 5 min
Your entry-level tutorial for CNNs: AIs are good at vision tasks too
Hello there readers, it's been a while. Today we're jumping into an exploratory post covering the basics of vision AI models: CNNs. The...
Mariam Ahmed
- 4 min
World Happiness
Once upon a time, there was a data scientist who lived in a country called dystopia which is the saddest city in the world. This...
Mariam Ahmed
- 4 min
Number Prediction
Deep Learning is becoming a very popular subset of machine learning due to its high level of performance across many types of data. A...
Mariam Ahmed
- 6 min
Statistical Concepts for Data Science
In this blog post, we will cover some essential statistics terms which are very helpful in exploratory data analysis, and feature...
Mariam Ahmed
- 4 min
What Is Image Processing
Deep learning has had a tremendous impact on various fields of technology in the last few years. One of the hottest topics buzzing in...
Mahmoud Morsy
- 19 min
Article Recommendation System Model
In a world flooded by information, a filtering mechanism is compulsory. Recommender systems have taken a massive leap towards this goal,...
Mahmoud Morsy
- 18 min
Prediction of Heart Disease Using a Combination of Machine Learning
Among various life-threatening diseases, heart disease has garnered great attention in medical research. The diagnosis of heart disease...
Mahmoud Morsy
- 4 min
Predicting Parkinson's Disease
Parkinson's disease is a brain disorder that causes unintended or uncontrollable movements, such as shaking, stiffness, and difficulty...
Mahmoud Morsy
- 5 min
Introduction to Deep Learning with Keras
Keras is a high-level neural networks API running on top of Tensorflow. It enables fast experimentation through a high-level,...
Mahmoud Morsy
- 4 min
Natural Language Processing (NLP) with Python
NLP is an exciting branch of AI that allows machines to break down and understand human language. Data scientists may often use NLP...
Mahmoud Morsy
- 4 min
Feature Engineering for Machine Learning in Python
Machine learning fits mathematical notations to the data in order to derive some insights. The models take features as input. A feature...
Mahmoud Morsy
- 5 min
Data Preprocessing in Machine Learning
Data Preprocessing includes the steps we need to follow to transform or encode data so that it may be easily parsed by the machine. The...
Fatma Ali
- 7 min
Text Processing: Why must text data be pre-processed?
What is text processing? The term text processing refers to the automation of analyzing electronic text. This allows machine learning...
