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Understanding the problem statement

Importing a zipped dataset

Installing necessary libraries and understanding its use

Different types of datatypes

Using the summary function in R and interpreting its output

Converting factor to numerical type

Performing basic EDA and checking for null values

Filling the null values using appropriate methods

Using ggplot fo rvisualization

Visualization through scatter plot and understanding the spread

Grouping different columns and plotting density plots to understand the distribution

Using boxplot and whisker plot for visualizing outliers

What are outliers and why is it necessary to fix outliers

Quantile plots to check the normality of data

The goal of this data science project is to take an image of a handwritten single digit, and determine what that digit is.

In this data science project with Python, we will complete the analysis of what sorts of people were likely to survive.You will learn to use various machine learning tools to predict which passengers survived the tragedy.

Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.

13-Feb-2016

05h 41m