Enter Kaggle Tabular Competition 2022

Enter Kaggles Tabular Competition 2022, available at $39.99, with 15 lectures, and has 4 subscribers.

You will learn about Learn how to navigate the Kaggle website. Learn how to enter a competition on the Kaggle website. Learn how to use machine learning to make predictions on a classification problem. Learn how to make predictions on a regression problem. Learn how to use machine learning to undertake a clustering problem. This course is ideal for individuals who are This course is intended for individuals who know some Python and machine learning, and would like to begin competitive programming. It is particularly useful for This course is intended for individuals who know some Python and machine learning, and would like to begin competitive programming.

Enroll now: Enter Kaggles Tabular Competition 2022

Summary

Title: Enter Kaggles Tabular Competition 2022

Price: $39.99

Number of Lectures: 15

Number of Published Lectures: 15

Number of Curriculum Items: 15

Number of Published Curriculum Objects: 15

Original Price: ￡19.99

Quality Status: approved

Status: Live

What You Will Learn

Learn how to navigate the Kaggle website.

Learn how to enter a competition on the Kaggle website.

Learn how to use machine learning to make predictions on a classification problem.

Learn how to make predictions on a regression problem.

Learn how to use machine learning to undertake a clustering problem.

Who Should Attend

This course is intended for individuals who know some Python and machine learning, and would like to begin competitive programming.

Target Audiences

This course is intended for individuals who know some Python and machine learning, and would like to begin competitive programming.

This course is designed to take the learner through all eleven Kaggle monthly tabular comprtitions in 2022.

The course is composed of three sections, being:-

1. Introduction

2. Kaggle competitions

3. Summary

In the introductory section of the course, I cover an introduction to Kaggle, a machine learning website, and an introduction to how to enter a competition using a motorcycle prediction competition question.

In the Kaggle competitions, I cover the eleven monthly tabulat competitions for the year 2022. These competitions include classification problems, regression problems, clustering problems, and multi-target problems. It is important to note that each competition question is more difficult than the last. It would be wise, therefore, for the learner to take the two prerequisite courses before endeavouring to take this course. The two prerequisite courses, created by myself, are How to Enter a Kaggle competition and Enter Kaggle’s Tabular Competition 2022.

In the Summary part of the course, I cover the code in the motorcycle prediction competition question to give the learner insight into how to improve his score.

It is important to know machine learning techniques as a precurser to this course. The basic principles of the logic to follow to undertake a machine learning project are:-

1. Import libraries

2. Load datasets into program

3. Read the datasets and convert them to dataframes

4. Clean the data by imputing and null values in the data

5. Analyse the target

6. Analyse the independent variables and how they relate to the dependent variables

7. Remove any outliers if necessary

8. Encode the data if necessary

9. Employ feature selection techniques if necessary

10. Define the dependent and independent variables

11. Normal and standardise the independent variables if necessary

12. Split the dataset into training and validation sets

13. Define the model, training and fitting the data into it

12. Make the predictions on the validation set and test set

13. Prepare the submission to be submitted to Kaggle

14. Submit the predictions to Kaggle for scoring

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Introduction to Kaggle

Lecture 3: How to Enter a Kaggle Competition

Chapter 2: Projects on a month by month basis

Lecture 1: January 2022

Lecture 2: February 2022

Lecture 3: March 2022

Lecture 4: April 2022

Lecture 5: May 2022

Lecture 6: June 2022

Lecture 7: July 2022

Lecture 8: August 2022

Lecture 9: September 2022

Lecture 10: October 2022

Lecture 11: November 2022

Chapter 3: Summary

Lecture 1: Congratulations on finishing the course

Instructors

Tracy Renee
Data Scientist

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Frequently Asked Questions

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