fealt / ironhack-bootcamp-labs

LAB solutions

Ironhack Data Analytics Bootcamp

This repository contains my solution for each LAB challenge given during the bootcamp (June to December 2021).

Main knowledge and tools:

▫️ Python

▫️ Pandas

▫️ SQL – PostgreSQL

▫️ Statistics

Statistics:

• "Data Science Math Skills" course offered by Duke University (Durham, US) @coursera completed in June 2021.

List of files and what I have learned – in descending order

• Lab #33 → w16_05_linear_regression_LAB.ipynb

  • covariance and correlation
  • build a linear regression model
  • split the data into train and test
  • fit the model, the algorithm will learn about the data pattern
  • evaluate the model
  • predict data
  • visualize the results

• Lab #32 ⟶ w18_04_probability_distributions_LAB.ipynb

  • generate and plot normal distributions
  • probability mass function (PMF)
  • poisson distribution
  • central limit theorem
  • normal distribution
  • scipy.stats