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This repository hosts a Jupyter Notebook-based Comment Generation Tool exploring advanced NLP techniques for automated, contextually relevant comment generation from input data. Ideal for developers and researchers in NLP and automated text generation.
This project demonstrates a complete pipeline for recognizing handwritten digits using the MNIST dataset. The project is implemented in Python using Jupyter Notebook, and it covers data loading, preprocessing, model training, and performance evaluation of a Fully Connected Neural Network (FCNN).
This repository contains notebooks on various datasets as a practice on machine learning algorithms, all notebooks include: Data Cleaning. Data Visualization, model building, prediction.
Salifort motors (a fictional company) has high employee turnover recently. With the given data, we are about to explore the reasons that might have caused the employee turnover and suggest ways to improve employee satisfaction and retain them long term. Jupyter notebooks done for Google Advanced Data Analytics Course from coursera.
Projeto de Ciência de Dados utilizando Python no formato notebook. Objetivo: prever o preço de um imóvel, ou preço de uma diária, do Airbnb baseado nas características dele. Base de dados retiradas do Kaggle: Rio de janeiro Airbnb open data
Data Analysis has been performed on the dataset and valuable insights are noted. Tech Used: Python (NumPy, Pandas, Matplotlib, Seaborn) and Jupyter Notebook
Analyzed data from a fictional superstore using Python. This repository contains Python code and Jupyter notebooks to perform basic analysis on the superstore data.