Jerad  Bailey

Jerad Bailey

1597283220

Binary Classification: Tips and Tricks from 10 Kaggle Competitions

Imagine if you could get all the tips and tricks you need to tackle a binary classification problem on Kaggle or anywhere else. I have gone over 10 Kaggle competitions including:

#machine learning models #model evaluation #tips and tricks

What is GEEK

Buddha Community

Binary Classification: Tips and Tricks from 10 Kaggle Competitions
Ray  Patel

Ray Patel

1619518440

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Jerad  Bailey

Jerad Bailey

1597283220

Binary Classification: Tips and Tricks from 10 Kaggle Competitions

Imagine if you could get all the tips and tricks you need to tackle a binary classification problem on Kaggle or anywhere else. I have gone over 10 Kaggle competitions including:

#machine learning models #model evaluation #tips and tricks

Kaggle Beginner Competitions Can Be Cheated

The purpose of this article is to warn new kagglers before they waste their time on trying to get an impossible score. Some kagglers got maximum accuracy with one click. Before we discuss how they did it and why — let’s introduce shortly Kaggle scoring model to understand why would even somebody try to cheat.

Kaggle Progression System

Kaggle is a portal where data scientists, machine learning experts, and analytics can challenge their skills, share knowledge, and take part in various competitions. And it is open to every level of experience — from complete newbie to grandmaster. You can use open datasets to broaden your knowledge, gain kudos/swag, and even win money.

Image for post

Some of the available competitions. (Image by author)

Winning competitons, taking part in discusions, and sharing your ideas result in medals. Medals are presented on your profile along with all your achievements.

#data-science #beginner #kaggle-competition #competition #kaggle #data science

Vern  Greenholt

Vern Greenholt

1598236620

Kaggle Beginner Competitions Can Be Cheated

The purpose of this article is to warn new kagglers before they waste their time on trying to get an impossible score. Some kagglers got maximum accuracy with one click. Before we discuss how they did it and why — let’s introduce shortly Kaggle scoring model to understand why would even somebody try to cheat.

Kaggle Progression System

Kaggle is a portal where data scientists, machine learning experts, and analytics can challenge their skills, share knowledge, and take part in various competitions. And it is open to every level of experience — from complete newbie to grandmaster. You can use open datasets to broaden your knowledge, gain kudos/swag, and even win money.

Image for post

Some of the available competitions. (Image by author)

Winning competitons, taking part in discusions, and sharing your ideas result in medals. Medals are presented on your profile along with all your achievements.

Image for post

#data-science #beginner #kaggle-competition #competition #kaggle #data science

Alec  Nikolaus

Alec Nikolaus

1603450800

Instacart Market Basket Analysis (Kaggle Competition)

This blog is about my first Kaggle Challenge. Hopefully, this blog will give you a good understanding of solving the classification problem.

Instacart is an American company that provides grocery delivery and pick-up service. The Company operates in the U.S and Canada. Instacart offers its services via a website and mobile app. Unlike another E-commerce website providing products directly from Seller to Customer. Instacart allows users to buy products from participating vendors. And this shopping is done by a Personal Shopper.

Outline

  1. Problem Overview
  2. Data Source
  3. Data Overview
  4. EDA
  5. Feature Engineering
  6. Modeling
  7. Future Work
  8. Reference

Problem Overview

The main objective of this competition was to predict which previously purchased products will be in the user’s next order.

The problem is a little different from the general recommendation problem, in this case, we are not recommending new products to the user instead of that we are going to recommend the product which is previously bought by that user. It is an interesting problem because here we need to find the user’s reordered behavior so we can personalize the user’s cart.

#kaggle-competition #binary-classification #recommendation-system #machine-learning