A common problem in applied machine learning is how to recommend items in a database to users based on their
Continue readingTag: Machine Learning
How to Build a UI for Your Model in 2021 Using Streamlit
Streamlit is an open-source Python library that can build a UI for various purposes, it is not limited to data
Continue readingHow to Deploy a Local ML Model as a Web Service on Azure Machine Learning Studio
Azure Machine Learning Studio (MLS) is a service provided by Microsoft which lets you deploy your models as a web
Continue readingBuild a Streamlit App to predict if a pokemon is legendary
Use streamlit, seaborn and scikit-learn to build a webapp to predict if a pokemon is legendary or not. In this tutorial,
Continue readingOpenCV 101 and Instagram Filters
This tutorial will be a basic introduction to OpenCV and some basic Instagram filters OpenCV is a library primarily built
Continue readingHow to build a Streamlit UI to Analyze Different Classifiers on the Wine, Iris and Breast Cancer Dataset
Let’s build a web app using Streamlit and sklearn Screen Capture by Author In this tutorial, we will be working with three
Continue readingPandas EDA Libraries you need in 2020 (Part 1)
Life is short, let Python automate your EDA EDA (Exploratory Data Analysis) is one of the first steps performed on a
Continue readingUse Numpy for Statistics and Arithmetic Operations in 2020
Most of the data used for Data Science and Machine Learning is stored as a Dataframe or a Numpy array.
Continue readingHow to use Streamlit Sharing to deploy your Streamlit Apps
Deploy your Machine Learning Web App using Streamlit Sharing In my previous articles, I have talked about building a Github
Continue readingHow to build a KNN classification model from scratch and visualize it using Streamlit
Although libraries like sklearn have made our lives easier, it is always a good practice to make a model from
Continue readingDemystifying Bias, Variance, Underfitting, and Overfitting in Machine Learning
While learning about machine learning models, you might have come across terms like bias, variance, underfitting, and overfitting. These terms
Continue reading