Machine Learning

8445 members.

For people getting started in machine learning, or interested in new research, news, and other discussions around it

Invite Members

Ask a question or start a poll…

Link

Poll

CommonLounge is a community of learners who learn together. Get started with the featured resources above, ask questions and discuss related stuff with everyone.

1.

discussion

Pro Content

Code for End-to-End Example: Using Logistic Regression for predicting Diabetes

Category: Machine Learning

NaN.

discussion

What interesting projects have you done in Machine Learning?

Credits: Originally asked by Kuntal Majumder.

Read more…(7 words)

Category: Machine Learning

Top comments in this discussion

Stephen Butler19w

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

Read more… (28 words)

Read more (28 words)

Keshav DhandhaniaMachine Learning @ M… · 1y

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.

Read more… (34 words)

Read more (34 words)

Vishnu Vardhan Reddy1y

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

Read more… (11 words)

Read (11 words)

Show 1 more
comment

3.

quiz

Pro Content

Hands-on Assignment: Data Exploration with NumPy

Category: Machine Learning

4.

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

Read more…(313 words)

Category: Machine Learning

NaN.

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...

Read more…(282 words)

Category: Machine Learning

Top comments in this discussion

Keshav DhandhaniaMachine Learning @ M… · 1y

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

Read more… (30 words)

Read more (30 words)

Syeda AmeenaMachine learning ent… · 1y

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

Read more… (20 words)

Read (20 words)

Keshav DhandhaniaMachine Learning @ M… · 2y

Syeda, a good place to start would be

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

Read more… (136 words)

Read (136 words)

Show 3 more
comments

NaN.

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)?

Read more…(85 words)

Category: Machine Learning

Top comment in this discussion

Garrett Irwin2y

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,...

Read more… (55 words)

Read more (55 words)

Load More