Machine Learning

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discussion

Exploring Vowpal Wabbit with the Avazu Clickthrough Prediction Challenge

In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction systems are essential and widely used for sponsored search and real-time bidding.

For this competition, we have provided 11 days worth of Avazu data to build and test prediction models. Can you find a strategy that beats standard classification algorithms? The winning models from this competition will be released under an open-source license.

Data Fields

id: ad identifier
click: 0/1 for non-click/click
hour: format is YYMMDDHH, so 14091123 means 23:00 on Sept. 11, 2014 UTC.
C1 -- anonymized categorical variable
banner_pos
site_id
site_domain
site_category

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Category: Machine Learning

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quiz

Hands-on Assignment: Data Exploration with NumPy

In this hands-on assignment, we'll apply the NumPy python library to explore a dataset. The dataset we'll be using is a medical dataset with information about some patients on metrics like glucose, insulin levels, and other metrics related to diabetes. The assignment will serve two primary objectives - (a) practice NumPy on a realistic task, and (b) learn how to get a feel for a large dataset (also known as data cleaning and data exploration).

Dataset description

We'll be using the following dataset: diabetes.csv. Open the file in your favorite text editor and have a look.

The following are the column names: Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age, Outcome.

Quiz time!

The quiz will guide you through the rest of the assi...

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13 questions

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Start

220 participants so far

Category: Machine Learning

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Oh, I really love the NumPy python library

cookie clicker 3 online free

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all details are not well given for better understanding of the problem

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Faithfulness Ameh1y

hey guys there was a mistake in question 6 your interest was in outcome not diabetes and the question said diabetes

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3.

discussion

How to get started with Predictive Maintenance using Machine Learning ?

Start with these questions

What do you need to have a personalized relationship with your customer?
How can you improve your customers experience by mitigating unspecified downtime?
How do you optimize your inventory and labor costs?

Key Benefits

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Category: Machine Learning

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discussion

Project Idea: Machine Learning + Cricket

One of the most prominent field of application of machine learning in sports, and a lot of people love sports statistics. It is an excellent domain for practicing data exploration and visualization. In fact, most machine learning work that perform well on sports data is 90% data exploration and 10% model building.

Cricsheet has a bunch of cricket data available for download.

We provide ball-by-ball data for Men’s and Women’s T...

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Category: Machine Learning

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Keshav DhandhaniaMachine Learning @ M… · 4y

Yes you should try multiple models, and try to reason which one is performing better on this particular dataset and why. This includes SVM, logistic regression, K nearest neighbors, etc

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Syeda AmeenaMachine learning ent… · 4y

Thank you so much this would help me to give start :) ! And should I go with svm model?

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Keshav DhandhaniaMachine Learning @ M… · 4y

Syeda, a good place to start would be

download the above dataset
do some data exploration: draw graphs of w...

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discussion

What interesting projects have you done in Machine Learning?

Credits: Originally asked by Kuntal Majumder.

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Category: Machine Learning

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Stephen Butler3y

I encourage everyone to share the resources they find most useful for each olympiad, and feel free to start discussions, ask questions, invite more friends, etc.

unblocked games

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Keshav DhandhaniaMachine Learning @ M… · 4y

I constructed the dataset using WordNet. The problem is that the dataset will have a lot of false negatives. For example, a camel is a herbivore, but that connection might be missing in WordNet.

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Vishnu Vardhan Reddy4y

May I know the availability of datasets for 'is-a relation' project.

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discussion

Machine Learning for Autonomous Path Planning

I am attempting to make a ground based robot traverse from Point A to Point B through an Obstacle Course having fixed and moving obstacles (Imagine a marketplace or a railway station), with input from a camera feed (a group of CCTV cameras/ live feed from a drone over the area). What kind of ML algorithm will enable the system to plan the shortest path(s) for the ground robot to follow under varying circumstances (moving obstacles at certain speeds travelling randomly over the task plane)?

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Category: Machine Learning

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Garrett Irwin4y

You'd could use something like A* search (which is an algorithm, nothing to do with machine learning). However, you could use reinforcement learning techniques in figuring out when to explore,...

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