Machine Learning Concepts with Concepts

Some examples of using bsts (Bayesian Structural Time Series) to build causal impact models

To import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations. I will then predict future trends from data by developing linear, multiple, polynomial regression models & pipelines and learn how to evaluate them.

Inference or Analyis of Passengers in Titanic Dataset to determine the gender Dependancy on Survival

This is Final Capstone Project for ALY15 80625 Intermediate Analytics SEC 04 Spring 2021 CPS. Primarily to learn Data Analytics, Descriptive and Inferential Stastics using R.