Data Science

decision trees and random forests featured image

Decision Trees and Random Forests(Building and optimizing decision tree and random forest models) Members Public

In the modern world, so much data is present on the internet. Organizations need efficient and rigorous algorithms to handle these huge chunks of data, make practical analyses, and provide appropriate decisions relevant to maximizing their profits and market presence. There are such algorithms commonly used today for decision-making processes.

Brian Mutea
Brian Mutea
Data Science

Gradio tutorial (Build machine learning applications) Members Public

You have built your optimally performing machine learning model. What next? This tutorial explores the use of Gradio in building machine learning applications. What is Gradio? Gradio is an open-source Python package that allows you to quickly create easy-to-use, customizable UI components for your ML model, any API, or even

Kamanda Wycliffe
Kamanda Wycliffe
Data Science
logistic regression

Logistic regression in Python with Scikit-learn Members Public

In linear regression, we tried to understand the relationship between one or more predictor variables and a continuous response variable. This article will explore logistic regression, where the response variable will be discrete or categorical. What is classification? Classification is a supervised machine learning problem of predicting which category or

Brian Mutea
Brian Mutea
Data Science
scikit-learn linear regression mlnuggets feature image

Linear regression in Python with Scikit-learn (With examples, code, and notebook) Members Public

Scikit-learn is a handy and robust library with efficient tools for machine learning. It provides a variety of supervised and unsupervised machine learning algorithms. The library is written in Python and is built on Numpy, Pandas, Matplotlib, and Scipy. In this tutorial, we will discuss linear regression with Scikit-learn. What

Brian Mutea
Brian Mutea
Data Science
Seaborn tutorial mlnuggets feat image

Seaborn tutorial Members Public

Seaborn is a simple, easier-to-learn open-source data visualization Python library that provides fantastic default styles and color palettes to create attractive and informative statistical plots. Seaborn is built on top of Matplotlib. Matplotlib treats Figures and Axes as objects and focuses on how to draw them. Seaborn has a dataset-oriented,

Brian Mutea
Brian Mutea
Data Science

Data visualization with Matplotlib Members Public

💡"A good sketch is better than a long speech"(Napoleon Bonaparte).  Organizations collect and analyze vast amounts of data from sales revenue, marketing performance, customer interactions, inventory levels, production metrics, staffing levels, costs, etc. This can be too much data that it is impossible to effectively understand and evaluate it

Brian Mutea
Brian Mutea
Data Science
python for data science(mlnuggets)

Python for data science tutorial (Complete guide with examples and notebook) Members Public

This article will dive into fundamental Python concepts you need to understand before using Python for data science and machine learning. Let's dive right in! What is Python? Python is the language of preference for most data scientists. It is a general-purpose, high-level programming language that supports object-oriented, structured, and

Brian Mutea
Brian Mutea
Data Science

Streamlit tutorial(How to build machine learning applications) Members Public

Data science deals with large volumes of data using modern tools and methods to extract hidden patterns, obtain meaningful information, and inform business decisions. The application of data science in business, education, and economics has led to the emergence of various tools. Applying data science requires understanding the main components

Kamanda Wycliffe
Kamanda Wycliffe
Data Science