Which machine learning algorithm to use for Classification.
In this post, we will look at some of the important machine learning classification algorithms.
Do comment which algorithm to be used for the classification in machine learning. @pantechelearning
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List of  AI Tools & Frameworks

From the dawn of mankind, we as a species have always been trying to make things to assist us in day to day tasks. From stone tools to modern day machinery, to tools for making the development of programs to assist us in day to day life. Some of the most important tools and frameworks are:

Scikit learn

Tensor Flow

Theano

Caffe

Mxnet

Keras

PyTorch

CNTK

Auto ML

Open NN
H20: open source AI platform

Google ML kit @pantechelearning
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Classification and Regression are two major prediction problems which are usually dealt with Data mining and machine learning.
Classification is the process of finding or discovering a model or function which helps in separating the data into multiple categorical classes i.e. discrete values. In classification, data is categorized under different labels according to some parameters given in input and then the labels are predicted for the data.
The derived mapping function could be demonstrated in the form of “IF-THEN” rules. The classification process deal with the problems where the data can be divided into binary or multiple discrete labels.
Regression is the process of finding a model or function for distinguishing the data into continuous real values instead of using classes or discrete values. It can also identify the distribution movement depending on the historical data. Because a regression predictive model predicts a quantity, therefore, the skill of the model must be reported as an error in those predictions.
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