kaggle

Clustering with K-Means

4 minute read

In this exercise you’ll explore our first unsupervised learning technique for creating features

Creating Featues

7 minute read

In this exercise you’ll start developing the features

Mutual Information

5 minute read

Mutual information describes relationships in terms of uncertainty.

Machine Learning Competitions

5 minute read

You will create and submit predictions for a Kaggle competition.

Random Forest

1 minute read

Random Forest is going to be an easy win.

Underfitting and Overfitting

2 minute read

optimize the size of the tree to make better predictions.

Mode Validation

3 minute read

You will test how good your model is.

Your First Machine Learning Model

4 minute read

Select the target variable, which corresponds to the sales price.

Explore Your Data

3 minute read

Filter the data, build model, and improve model.

Distributions

8 minute read

Create histograms and density plots

Scatter Plots

8 minute read

Leverage the coordinate plane to explore relationships between variables

Line Charts

6 minute read

Visualize trends over time

Hello, Seaborn

6 minute read

Your first introduction to coding for data visualization

IntermediateML data-leakage

8 minute read

You will learn what data leakage is and how to prevent it.

IntermediateML XGBoost

5 minute read

you will learn how to build and optimize models with gradient boosting

IntermediateML cross-validation

5 minute read

you will learn how to use cross-validation for better measures of model performance.

IntermediateML pipelines

8 minute read

This notebook is an exercise in the Intermediate Machine Learning course. You can reference the tutorial at this link.

IntermediateML categorical-variables

13 minute read

Notice that the dataset contains both numerical and categorical variables.

IntermediateML missing-values

10 minute read

You’ll obtain a more comprehensive understanding of the missing values in the dataset.

IntermediateML introduction

5 minute read

Now it’s time to go through the modeling process and make predictions.

Pandas Renaming and Combining

11 minute read

Run the following cell to load your data and some utility functions.

Pandas Data-types and Missing

3 minute read

Run the following cell to load your data and some utility functions.

Pandas grouping and Sorting

6 minute read

In these exercises we’ll apply groupwise analysis to our dataset.

Pandas Summary, Functions and Maps

4 minute read

Now you are ready to get a deeper understanding of your data.

Pandas Indexing, Selecting and assigning

6 minute read

In this set of exercises we will work with the Wine Reviews dataset.

Pandas Creating, Reading and Writing

2 minute read

The first step in most data analytics projects is reading the data file.