Saturday, September 14, 2019

Machine Learning / R / Power BI

Machine Learning:

It is a program that learn itself with the historical data and decide the future result with applying the statistical function (Mean, Median, SD, VAR, Correlation etc)  and that program can be implemented by language (Python/R)

Types of ML:

o   Supervised (That is already trained to give the answer based on historical data)
o   Unsupervised (That is not trained and worked on clustering method based on historical data)

Three type of problems can be solved by ML

o   Classification
This is a Supervised learning problem and can be used for Forecasting the binary answer (Yes/No)
Best ML Algo : Decision Tree

o   Regression
This is a Supervised learning problem and can be used for Forecasting for continues variable
Best ML Algo : Linear Regression

o   Clustering
This is a Unsupervised learning problem and can be used for Recommendation
Best ML Algo : K-Means

Top ML Algorithms:

-        Linear Regression
-        Logistics Regression
-        Decision Tree
-        Random Forest
-        KNN (K-Nearest Neighbor)
-        K-Means
-        NLP (Natural Language Processing)
         [Deep Learning worked on Neural Network / Use for AI Application]

R:

R is open source/platform independent language that can be used for data analytics (statistical computing and graphics) and ML application.

Power BI:

It is a data presentation tool (With lots of graphics) for any BI solution application and that can connect with any data source and using that any Tabular/Graphics report/dashboard can be developed in minutes and share/integrated in any web application.

It has great feature (Streaming Data Set) that can be used for real time data analytics.

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