Practical Tasks for get the Data Analyst Associate by Datacamp.
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Updated
Jun 26, 2023 - Python
Practical Tasks for get the Data Analyst Associate by Datacamp.
Este repositorio contiene un proyecto de Machine Learning para predecir números de un juego utilizando árboles de decisión. Incluye un script principal (Lottery.py) para cargar datos, entrenar el modelo y hacer predicciones. Se proporciona un archivo de datos (num.csv) como entrada para el modelo.
The IPL EDA (Exploratory Data Analysis) was conducted, revealing valuable insights. The analysis focused on various aspects such as player performance, team statistics, and match outcomes. Key findings include trends in run-scoring, top performers, and team dynamics. The EDA offers actionable insights for teams and fans to make data-driven decision
Final result for Data Bootcamp 2024
RegEx or Regular Expression is good for your health too
Project 2 for Udacity Programming for Data Science with Python Nanodegree
Explore US Bikeshare Dataset
Have the function DifferentCases(str) take the str parameter being passed and return it in upper camel case format where the first letter of each word is capitalized. The string will only contain letters and some combination of delimeter punctuation character separating each word.
In this notebook the User Review of the movie KGF Chapter-2 in the IMDb website is used to train the classification model for classifying whether the review is negative ,neutral or positive.
source dataset : Mercedes-Benz C Class Vehicle Listings by Álvaro Villadangos in Kaggle
Mean Variance Standard Deviation Calculator project for FreeCodeCamp Data Analyst with Python course.
El proyecto utiliza un modelo de Random Forest para predecir fenómenos utilizando datos proporcionados. El propósito principal es crear una herramienta útil para identificar posibles fenómenos basados en características específicas. Además, el archivo grafic_3d.py tiene como objetivo proporcionar una herramienta para la visualización en 3D.
Just another version with together ai
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