This task focused on the Exploratory Data Analysis (EDA), forecasting, and the resulting business insights for Rec Corp Ltd, a hypothetical company. The dataset used for analysis was generated using Python and sourced from Kaggle. The primary objectives were to conduct EDA, clean the data, and answer business questions to gain insights.

In this mini project focused on laptop prices, a structured approach was employed, encompassing data cleaning, exploratory data analysis (EDA), feature engineering, regression model building, and the development of an interactive Shiny application.

The task encompassed several key components, including data cleaning, demographic analysis, Likert scale analysis, predictive modelling using ordinal logistic regression, and drawing conclusions based on the findings.

This project focused on leveraging a dataset related to YouTube streamers to develop a comprehensive analysis and recommendation system using advanced data analytics techniques.

Exploratory and inferential R analysis of global YouTube channel data.

Parashikimi me metoden hibride ARIMA+Regresion Linear