The code sets up a Flask web application for a chatbot using a pre-trained model. It loads intents from a JSON file, tokenizes patterns with CountVectorizer, and defines routes for user input, predicting tags, and retrieving bot responses. The application runs on localhost when the script is executed.

SKit is a versatile Python library designed to streamline the deployment of Machine Learning (ML) models and facilitate various Data Science tasks.

This data science project delves into unemployment trends, using data analysis and machine learning to identify key factors and predict future joblessness rates, aiding policymakers and businesses in informed decision-making.

Elaborar modelos estatísticos, criar algoritmos, solucionar problemas e expandir a estratégia de negócios.

Image Color Analyzer is a Python Flask application that allows users to upload images and analyze the dominant colors present in the image using the KMeans clustering algorithm. The application provides a simple web interface for users to interact with, displaying the dominant colors and their occurrences as a JSON response.

In this comprehensive machine learning project, I executed the entire machine learning life cycle. Designed a streamlined and visually appealing interface using Streamlit. Ensuring a user-friendly experience for individuals to input their relevant information effortlessly. Handed off well-documented and easily modifiable code.

python 0基础入门机器学习

Você foi contratado por uma empresa de e-commerce que está buscando entender melhor o comportamento de seus clientes para personalizar as suas campanhas de marketing. Para isso, a empresa disponibilizou uma base de dados em csv contendo dados sobre clientes, produtos e transações da loja realizadas entre os anos de 2010 e 2011.

In this repository i am going work on multiple Classification models and technique's.

Technical Articles

Make a prediction to determine the price of each launch of a rocket, if the rocket can recover the first stage like SpaceX's Falcon 9.

GrocerySegmentAI is a platform as a service for grocery businesses. This product provides a way for these businesses to upload customer data and receive accurate predictions on which customers will buy a specific product on their next order.

This code does linear regression using scikit-learn and custom NumPy implementation. It loads datasets, removes NaNs, scales features, trains and evaluates models, and plots best fit line. Custom model uses gradient descent. Outputs R2 score, coefficients, and intercept.

CyberSight is our final project at Bar-Ilan University. The primary objective of the project is to identify whether a given picture of a human face is generated by artificial intelligence or depicts a real person.

This repo consists of hands-on ML experiments for learning purposes.

Research focuses on the use of Machine Learning algorithms to create and Intrusion Detection System(IDS) that is able to predict and categorize different types of network attacks.

This is a project that was completed while taking the Udemy course - Python for Machine Learning & Data Science Masterclass.

Machine Learning Course from Udemy