An app built with HTML, Node.js, and Python that provides users with several avenues to grow their money further. Next step: add AI tool for inquiries, forecasts, and projections.

3 vija hibride

Source: https://t.me/rstudioprogr

This R Markdown document implements a comprehensive baseball data preparation pipeline that systematically cleans and enhances a dataset of 259 team observations with 16 original variables. The workflow begins by creating missing value indicator flags to preserve information about data patterns, then applies IQR-based outlier detection across all numeric variables. After dropping the highly incomplete TEAM_BATTING_HBP variable (92.7% missing), it imputes remaining missing values using median substitution for robustness against outliers. The feature engineering section creates meaningful baseball-specific metrics including offensive power ratios, base-running efficiency, pitching effectiveness (WHIP proxy), and disciplinary measures (walk-to-strikeout ratios). The pipeline applies log transformations to highly skewed variables, creates categorical performance tiers (High/Medium/Low offensive performance, Elite/Average/Poor pitching, and error rate buckets), and concludes with correlation analysis and data quality validation. This systematic approach transforms raw baseball statistics into a modeling-ready dataset with both original variables and engineered features that capture key aspects of team performance across batting, pitching, base-running, and defensive capabilities.

A brief report describing and visualising the prevalence of Korean titles in Netflix's fifth engagement report focusing on the hours viewed metric.

HW+SVR