Exprore Pandas (Series and DataFrames)

Basics of Numpy

Matplotlib (learn how to create interesting plots: histograms, area and bar plots)

Learn about Data analysis is the process of collecting, modeling, and analyzing data using various statistical and logical methods and techniques

Explore several methods to see if certain features within the dataset can help you to predict a specific parameter. At the same time, you will learn many useful statistical terms and concepts in a very easy and not-hardcore-math manner.

In this second part we will study further with different datasets, how we can plot them and determine what kind of plots would be more useful to interpret the conclusions or correlations.

Introduction to Machine Learning

Models for Data Analysis (Regression models)

Waffle Charts and Regression Plots

Supervised Learning

ML-Models

1. Training and Testing

2. Overfitting, Underfitting and Model Selection

3. Ridge regression

4. Grid Search

Working with Geospacial Data (using Folium)