st.selectbox is a widget that allows users to select a single option from a dropdown list.It is useful for scenarios where you want to limit user input to a predefined set of options. Need a Streamlit developer: Click here st.selectbox(label, options, index=0, format_func=str, key=None, help=None)This is the basic syntax for creating a select box in Streamlit.label: The […]
Streamlit Chatbot
Streamlit is a Python Framework for building interactive web apps with minimal code.In this article, we will demonstrate how to use Streamlit to create a simple chatbot interface. Need a streamlit developer: Click here Our First minimal chatbot interface using Streamlit This example will show how to create a basic chatbot interface using Streamlit.We will use […]
Streamlit DataFrame
Streamlit provides a powerful way to display and interact with data using DataFrames.DataFrames in Streamlit are typically used to display tabular data, allowing users to visualize and interact with datasets easily. Need a Streamlit developer: Click here 1. Introduction we would be using Pandas DataFrames to demonstrate how to use these features in Streamlit. 2. Display […]
Streamlit Button
Streamlit’s st.button() is the simplest way to create a button in your Streamlit app. It returns a boolean value indicating whether the button was clicked.It is the simplest way to add interactivitiyy to your app.It creates a clickable UI element that returns True only during the moment it’s clicked. Need a streamlit developer? Click here 1. […]
Data Analyst vs Data Scientist
You may have heard this saying:“All data scientists are data analysts, but not all data analysts are data scientists.” By the end of this article, this statement should make perfect sense https://www.youtube.com/watch?v=EEVScxGDlFk Having worked as both a data anaylst and a data scientist, i have seen firsthand how the roles overlap and where they diverge. […]
FAISS LangChain
FAISS (Facebook AI Similarity Search) is a vector library developed by Facebook that is used to store and search embeddings efficiently. It is particularly useful for tasks like question answering within documents, where you need to retrieve relevant parts of the content based on semantic similarity. By converting text into embeddings, FAISS allows you to […]
gradient boosting regressor
Boosting in machine learning is a technique that combines multiple simple models, often decision trees into a single, stronger model. It works with regression trees and improves performance by sequentially learning from the mistakes of previous models. According to the scikit-learn documentation, at each stage, a regression tree is fit on the negative gradient of […]