Udacity - Data Scientist Nanodegree Program - Supervised Learning

Simulador y predictor del clima con el modelo naive

This is a primer in data science/ analysis with Python

A simple machine learning project comparing accuracy scores of some popular SML algorithms using Iris dataset.

DSCI 510 - USC, Fall 2019

Turbo-charging the Pandas library in an integrative, meta-orientated style

pandas and numpy uses and tools

Utilizing various Python scripts and libraries to visualize the weather in over 500 world cities and displaying the results on a heatmap, after which writing additional code to map hotels (within our given parameters) that would make for an ideal vacation.

Insights into predictors of county poverty and child poverty. We attempt to explore the predictors of the poverty based on the 2017 U.S. Census Data.

Basic codes to start with while using the pandas library

📊 🐍 | Moving average graph with covid19 data in state of Rio Grande do Norte - Brazil.

Analyzing student performance in math and reading by school district

Exploratory Data Analysis

This project analyzes climate data from the Open Weather API to determine if temperature, humidity, cloudiness, and wind speed is impacted by proximity to the equator. Additionally, it overlays ideal vacation locations using the Google Places API and heatmaps.

Fictional company Waves and Icecream wants to determine if opening a surf shop in Oahu, Hawaii has good business value. Temperature data for the months of June and December were analyzed to assist in determining if a surf and ice cream shop business is sustainable year-round. Analysis is conducted using Python, Pandas, Numpy, and SQLAlchemy.

This project is designed to identify the impact of COVID-19 on Twitter usage in the state of North Carolina.

A challenge to demonstrate skills related to get and process data for their analysis. Data-frames, filters, basic descriptive statistical analysis and charts are part of this repository

Pandas archives

Dokumentasi Pembelajaran Pandas