A simple NodeJS aplication that helps sending emails for events. Uses CSV files for target users.
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Updated
May 2, 2018 - HTML
A simple NodeJS aplication that helps sending emails for events. Uses CSV files for target users.
This repository contains code and resources for a summer research project focused on statistical analysis of census data. The project aims to analyze demographic trends, population distributions, and other relevant metrics derived from census datasets.
Udacity Data Analyst Nanodegree - Project IV
IPL Fantasy Cricket Dream 11 Team Predictor is a Flask Web Application that predicts the best fantasy cricket team based on player's previous records.
Electric Vehicle Charging Network website using ML, Python, HTML, CSS, JavaScript
Attendance of students based on facial recognition
A Data-Science Project on Zomato Data Analysis
Convert CSV format to JSON object.
PHP login and registration system with a CSV database file
Dive into the world of Netflix and explore the average duration of movies. Netflix, being the largest entertainment company, offers a wide range of movies for its viewers. In this project, we analyse movie durations using pandas and create a DataFrame from a dictionary. By examining average durations from 2011 to 2020.
XLSX to CSV is an online tool that converts documents created in Microsoft Excel(XLS/XLSX) or other spreadsheet processing formats into CSV (Comma-Separated Values) files.
Performed an exploratory data analysis using python and presented explanatory plots that convey insights of data.
Convert CSV data into SQL query.
A data analysis product that predicts the estimated rent of a house inside Indian metropolis using Long Short Term Neural Network. A website that builds strong with Django web frameworks that predicts house rent according to desire of the user and displays it.
Convert CSV format into XML data.
ODS to CSV is an online tool that converts ODS (Operational Data Store) files into CSV (Comma-Separated Values) files.
Daily scraps the data from rpi-imager-stats
A Flask-based feedback form that collects user feedback on products. It stores data in MongoDB and offers CSV download functionality. Built with Python, Flask, Pandas, and Bootstrap.
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