24 Forks
75 Stars
75 Watchers

data-science-popular-algorithms

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

How to download and setup data-science-popular-algorithms

Open terminal and run command
git clone https://github.com/TatevKaren/data-science-popular-algorithms.git
git clone is used to create a copy or clone of data-science-popular-algorithms repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with data-science-popular-algorithms https://github.com/TatevKaren/data-science-popular-algorithms/archive/master.zip

Or simply clone data-science-popular-algorithms with SSH
[email protected]:TatevKaren/data-science-popular-algorithms.git

If you have some problems with data-science-popular-algorithms

You may open issue on data-science-popular-algorithms support forum (system) here: https://github.com/TatevKaren/data-science-popular-algorithms/issues

Similar to data-science-popular-algorithms repositories

Here you may see data-science-popular-algorithms alternatives and analogs

 awesomo    OpenComputers    playframework    deeplearning4j    pragmatapro    gitbucket    beakerx    scala-exercises    intellij-rainbow-brackets    mal    arl    monix    elastic4s    alpakka-kafka    phantom    sttp    kmq    play-ws    akka-grpc    akka-streams-in-practice    finagle    sbt-jmh    microservice-graph-explorer    scala-js    scala-native    scala    awesome-scala    lila    scalaz    sbt