Linear regression explained using the build function in R. Building coefficient mattrices for the X & Y axis-es to prepare machine learning.

Dimension reduction and model selection using Elactic Net

Machine Learning in R. Decision tree using XGBoost algorithm in R. Comparison between a random forest and Gradient Boosted Tree.

Cameroon Agriculture

Cameroon agriculture stats

Final analysis Capstone project

Exploring real estate data and making inference on house price using a train dataset.

Statistics with R Capstone project

Predicting audience score on movies from two websites Rotten Tomatoes and IMDB based on several other variables, using Bayesian modelling and prediction methods.

Bayesian Linear Regression - Statistics with R - Duke University

Bayesian inference course - Statistics with R from Duke College

Multilinear Regression and Prediction

GGPlo2 & plotly from 2 data sets

How do simple linear regression and investigate outliers

Inferential statistics Final project - Statistics with R

Review of inference techniques used for categorical variables.

Inference statistics using Hypothesis testing and Confidence Interval. Using T statistics to construct hypothesis testing and confidence interval using a sample.

Average POC elapsed response time

Final project of Introduction to Statistics with R from Duke

Statistics in R (DUKE) - Week 3 assignment to test publishing