Comments (21)
Thanks for the sample notebook! I would like to implement Linear SVM with regularization.
from machine-learning.
Thanks for setting this up. I would like to try LASSO, implementation sklearn.linear_model.LassoCV.
from machine-learning.
I would like to work on the multi-layer perceptron classifier.
sklearn.neural_network.MLPClassifier
from machine-learning.
I'd like to claim LDA/QDA and give it a shot
from machine-learning.
Tagging everyone who said they were interested in contributing to the machine learning part of the project in the introduction thread: @htcai, @loucru1 @bmcgeehan @Umeshiso @swbiggs4 @danrieman @rramyr @Inquisitive-Geek @brankaj @yl565 @Ramaa-Nathan @ejsegall @FadiAlnabolsi @sameertipnis @VijYadav @ctipnis.
Update: also tagging @yigalron.
from machine-learning.
@htcai awesome. Can you specify which sklearn function(s) you plan to use for the model?
from machine-learning.
I consulted the chart posted by @yl565 . I plan to try sklearn.svm.LinearSVC.
from machine-learning.
I plan to implement the Nearest Neighbors Classification
from machine-learning.
@yigalron did you want to claim KNeighborsClassifier
, RadiusNeighborsClassifier
, or both?
from machine-learning.
I'm planning to start with the KNeighborsClassifier
from machine-learning.
I plan to test Decision Tree CART (sklearn.tree.DecisionTreeClassifier) algorithm
from machine-learning.
Hi Daniel,
Is there "algorithms" directory created already? I I can't see it. Sorry, I am still learning about Github.
from machine-learning.
@VijYadav, you'll have to create the directory, since it currently doesn't exist. I'll submit a pull request as an example.
from machine-learning.
when trying to set up the conda environment on windows (conda env create --quiet --force --file environment.yml) I get an error:
yaml.scanner.ScannerError: mapping values are not allowed here
in "", line 7, column 19:
<head prefix="og: http://ogp.me/ns# fb: http://o ...
^
any ideas what I did wrong?
from machine-learning.
@yigalron can you file a new issue or comment on #15 with the conda installation issue? It's best to keep issues focused and uncluttered.
from machine-learning.
OK; anyway it seems to have been a user error; I'm trying again
from machine-learning.
Hi all, I will claim AdaBoost.
from machine-learning.
Hey Folks - I will give RandomForestClassifier a shot. Mans
from machine-learning.
I have an initial version of the K-Nearest neighbor algorithm, and I issued a pull request; not sure if it got into the master.
I won't be able to join the next meeting, but will continue to work on this remotely.
from machine-learning.
I would like to claim spectral clustering, and give it a try
from machine-learning.
I'll also take a look at the Passive Aggressive Classifier
from machine-learning.
Related Issues (20)
- Selecting the number of components returned by PCA HOT 16
- How notebooks will work in production HOT 12
- Machine Learning Punch List for Launch HOT 19
- Defining features and labels HOT 5
- Add stronger support for pip HOT 2
- Should cognoml reside in a separate repo? HOT 5
- TP53 mutation prediction from metadata HOT 3
- A quick guide for new members HOT 8
- Memory issue HOT 9
- Performance on genes with targeted cancer therapies HOT 11
- Installing a Python Neo4j driver on OSX HOT 5
- Git large-file storage HOT 7
- Multiple comparisons problems HOT 1
- Thrashing in 2.TCGA-MLexample HOT 2
- Predicting BRAF V600E activation in colorectal cancer
- OncoKB: Precision Oncology Knowledge Base
- TOTAL column is skewing the heatmap in 3.TCGA-MLexample_Pathway HOT 2
- Evaluate dask-searchcv to speed up GridSearchCV HOT 7
- PCA (and other pre-processing steps) on just the expression matrix in CV pipeline HOT 3
- Standardize the plots in notebooks HOT 8
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from machine-learning.