Data Analysis Practice Repository
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Updated
May 24, 2024 - Jupyter Notebook
Data Analysis Practice Repository
📜 🎉 Automated reporting of objects in R
Healthcare cost projection for fiscal year (FY) 2026 and 2027 based on historical healthcare expenses.
gradient-boosted regression and decision tree models on behavioural animal data
Data Science DRY OOP Umbrella Library
Data Science Foundations II | Statistics Fundamentals for Data Science | Simple Linear Regression for Data Science
Analysing Time series and spatiotemporal data
Time-series forecasting tecniques applied to the stock market
Input Output Hidden Markov Model (IOHMM) in Python
Exercícios do curso "Profissao: Cientista de Dados", sendo realizado pela EBAC - Escola Britânica de Artes Criativas e Tecnologia.
Stock price prediction models for alpaca.markets
Exploring simple linear regression models to analyze the relationship between advertising expenditure and sales.
Time Series Analysis of Airline Passenger Data, In this time series forecasting, taking data from kaggle site and applying ARIMA and SARIMAX model to evaluate seasional trends of passenger travelling via airlines.
📗 This repository provides an in-depth exploration of the predictive linear regression model tailored for Jamboree Institute students' data, with the goal of assisting their admission to international colleges. The analysis encompasses the application of Ridge, Lasso, and ElasticNet regressions to enhance predictive accuracy and robustness.
Repositório que reuni os módulos 7 ao 13 da trilha Desenvolvimento IA 2023-2024, desenvolvido pela Rocketseat Education.
Python Scripts and Jupyter Notebooks for Prof. Robert Wrobel's Applied Business Statistics course at Webster University and anybody else who wants to learn!
Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t
Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.p
Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.
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