Case Studies and Projects in Machine Learning/EDA/DL

about statistical techniques for Data Science

Statistics in Python: Jupyter Notebook Collection. You can find the details on Statistics and application to the machine learning algorithm at following link:

Extracted statistical relationships between house prices and many factors, applicationised the 90% R2 Random Forest model that outcompeted MLR, Lasso, PLS, KNN, and DT into production.

A descriptive and inferential statistical analysis from the Kaggle database on the data collected by an IoT smoke detection device. Machine learning techniques were also used to help build this smart device, increasing its accuracy.

Aplicación Shiny para realizar inferencias estadísticas sobre medias, proporciones y varianzas. Creada originalmente por Antoine Soetewey.

Having completed this project notebook, you will have hands-on experience: sampling and calculating probabilities from a normal distribution; the correct way to estimate the standard deviation of a population (the population parameter) from a sample; what a sampling distribution is and how the Central Limit Theorem applies; how to calculate crit…