Sentiment Analysis project that focuses on classifying the interactions of customers with support agents from different brands on X (formerly Twitter). The project is developed starting from an ETL process through advanced NLP techniques and ML models for classification, written in Python leveraging Jupyter Notebooks.
Project using SQLAlchemy in Jupyter Notebook to analyze weather in Hawaii from different stations over one year. Then design and create a Flask app based on the queries from the Jupyter Notebook.
🧱 A collection of supplementary utilities and helper notebooks to perform admin tasks on Databricks
Provisioning a jupyterlab and a postgres database, where they can see each other, and thus, we will successfully fill some aggregated data into the database from a notebook.
Surf's Up! is a repository that examines climate patterns in Honolulu, Hawaii. It utilizes Python, SQLAlchemy, and Flask to analyze precipitation and temperature data from weather stations. The repository includes a Flask API for easy data access. Tools used include Jupyter Notebook, SQLAlchemy, Pandas, Matplotlib, Python, and Flask.
DA Project 3: Personal Medical Insurance Analysis using SQL Magic on Jupyter notebook.
Weather analysis with Jupyter Notebook and SQLite
Scrapy spider for notebooks on Rozetka.com
PostgreSQL DB development then analysis within Jupyter notebook using SQLAlchemy, Pandas, and Matplotlib
A jupyter notebook to perform CRUD operations through SQLAlchemy
Advanced Data Storage and Data Retrieval with `Jupyter Notebook`, `SQLite` and `SQLAlchemy`
Weather data comparison utilizing Jupyter Notebook/Python
Data Modeling With Postgres for Udacity's Data Engineering Program. Using Python in Jupyter Notebook.
Using SQLite, SQAlchemy, Python in a Jupyter Notebook and Design a Flask application using data.
Used Jupyter notebook and SQL Alchemy to analyse, explore and visualise climate data for Honolulu, Hawaii. Created a Flask app to return query results and convert data into JSON response object..
assigned to retrieve datas on Oahu, Hawaii for our client Surf n' Shake. Our Data source was hawaii.sqlite, which allowed our client to forecast on his icecream store. Code, Jupyter Notebook, Panda, SQLite, Flask, Python
Python projects that uses Jupyter notebook, flask and Tkinter
This repo is for the Surfs Up Analysis where weather data is analyzed for the Hawaiian island of Oahu to determine the potential success of an ice cream surf shop using SQLite, SQLAlchemy, and Flask in a Python environment in Jupyter Notebook and VSCode editors.
Add a description, image, and links to the sqlalchemy topic page so that developers can more easily learn about it.
To associate your repository with the sqlalchemy topic, visit your repo's landing page and select "manage topics."