

Natural Language Processing And Model Validation
Most part of a data scientist role will not only lie on beautifully structured data for you to just start training and validating your...
bismark boateng
4 min read


We learned a lot about data, let's make sure our models are working well.
In the last blog posts, we worked a lot on data preprocessing and got to recognize how much of an important task it was. Remembering the...
Hamza kchok
5 min read

Image to Text transformation
Hello and welcome to this new article, this article aims to explain an end-to-end use case of taking the advantage of a wonderful AI...
Omar Mohamed
6 min read


Introduction to NLP and Model Validation in Python
Natural language processing (NLP) is a field that focuses on making computer algorithms understand natural human language. Natural...
Arpan Sapkota
7 min read

Everything You Need To Know About Model Validation!
“Predicting the future isn’t magic, it’s artificial intelligence.” ~Dave Waters Have you ever been concerned about how well your your...
asma kirli
5 min read


The Guide To Deal With Text Data: From Basic to Advanced!
“Torture the data, and it will confess to anything.” – Ronald Coase One of the biggest breakthroughs when it comes to preprocessing your...
asma kirli
5 min read


A Guide To Feature Engineering And Machine Learning For Time Series Data
#Machine Learning Machine Learning has swept the world of data science; improvements in processing power, algorithms, and community...
bismark boateng
4 min read

Linear Classifiers and Tree Based Model in Python
Linear Classifiers are one of the most commonly used classifiers and it is a supervised machine learning technique A linear classifier...
Tanushree Nepal
3 min read

Feature Engineering using Python
Figure (1) Introduction Hello and welcome to my new article in which we try to discuss some crucial feature engineering methods using...
Omar Mohamed
5 min read


EXPLORING HIGH DIMENSIONAL DATA
Introduction A high dimensional data is a data that has too many input variables or features. These features may be in the form of...
mrbenjaminowusu
3 min read

Where are people in Canada, Mexico and the United States getting employed?
After progressing in several data science courses, I might have overestimated my abilities lol. Let's just say this project gave me some...
Blessing Oludele
5 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

ML Models are cool, but are they as cool as good preprocessed data?
AI Models sure are interesting and fairly fascinating. We're talking about machines "learning" new things! But, whether we like it or...
Hamza kchok
6 min read

Dimensionality Reduction and Preprocessing for Machine Learning in Python
Dimensionality Reduction in Python Dimensionality reduction is a method of unsupervised learning. It refers to techniques for reducing...
Arpan Sapkota
9 min read

My roadmap into preprocessing data: Feature extraction from raw text using TF-IDF
“ Without big data, you are blind and deaf and in the middle of a freeway” - Geoffrey Moore. When we say big data, we mean a huge amount...
asma kirli
7 min read

Noise minimization and Sampling different techniques using Python
Introduction When it comes to creating a Machine Learning pipeline, data preprocessing is the first step marking the initiation of the...
Omar Mohamed
7 min read


Extreme Gradient Boosting with XGBoost and Cluster Analysis in Python
Extreme Gradient Boosting with XGBoost Extreme Gradient Boosting is a tree-based method that belongs to Machine Learning's supervised...
Arpan Sapkota
6 min read


Need more ML Models? We got you!
In the recent blogs, we discovered a few things about machine learning algorithms; Regression and Classifications models, be it Linear,...
Hamza kchok
7 min read

Machine Learning Concepts: K-means Clustering.
“Everything that civilisation has to offer is a product of human intelligence; we cannot predict what we might achieve when this...
asma kirli
8 min read


Cupcake and Muffin Recipes
Hello and welcome to my new article in the series of data science beginner guide projects, we discuss here the delicious cupcake and...
Omar Mohamed
6 min read


How Regularization Affects Training and Test Accuaracy Of A Logistic Regression Module.
In this blog, we will be discussing logistic regression classifier and how regularization affects the accuracy of its performance module....
mrbenjaminowusu
3 min read

Linear Classifiers and Machine Learning with Tree-Based Models in Python
Linear Classifiers This article examines common linear classification models, including descriptions of the methods as well as Python...
Arpan Sapkota
5 min read

Support Vector Machine for Classification Problems
Support vector machine (SVM) was first identified by Vladimir Vapnik and his colleagues in 1992. SVMs are also known as one of the most...
ayenadykyaw1
6 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