Machine Learning

Best Machine Learning Institute

Machine learning deals with the study of the design of algorithms and in big data analytics. Our tutor starts from the basics of course deals with Machine learning. The course starts with idea of Machine Learning and we explain how Machine learning is connected to computer science and mathematics. it gives a brief idea of mathematical preliminaries, and gives an introduction to R programming language, a popular language to do Machine learning with.

Machine learning deals with the study of the design of algorithms and in big data analytics. We Conceptual study with an interactive session on understanding machine learning structure, system model, training, testing and various learning techniques. School of data science is the Best place with experienced trainers from top MNC’s and with limited batch and with an interactive session where you have your place to share and gain your knowledge.

As Machine learning is a conceptual study with design our trainers guide you in person. we have weekdays and weekends batches with flexible timings and good infrastructure.

Data scientists use their data and analytical ability to find and interpret rich data sources; manage large amounts of data despite hardware, software, and bandwidth constraints; merge data sources; ensure consistency of datasets; create visualizations to aid in understanding data; build mathematical models using the data; and present and communicate the data insights/findings. The candidates who have undergone Data Science Course in School of data science are often expected to produce answers in days rather than months, work by exploratory analysis and rapid iteration, and to produce and present results with dashboards (displays of current values) rather than papers/reports, as statisticians normally do.

Benifits Of Doing Machine Language Using R Course in School of data science:

    • Our institute provides convenient timings and best knowledge for trainee.
    • Machine Learning R introduces you to Machine learning algorithms with R, to take business organizations take informed decisions with flexible timings and limited batches in school of data science.
    • Our faculty is well professional in top MNC’s.
    • Prior to the session you will receive a PDF copy of the slides for note-taking, which will also be a great reference after the session.
    • We also provide weekend batches.

Pre-requisites to Machine Learning Using R Training :

      • Linear algebra: Simple linear algebra.
      • Programming: I learnt programming at the same time as I was teaching myself ML, so programming skills can start from zero to proficient.
      • Calculus: Some differential calculus.

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Machine Learning Using R Training Course syllabus

    • What is R?
    • Why R?
    • Installing R
    • R environment
    • How to get help in R
    • R console and Editor
    • R Studio
    • Variables in R
    • Scalars
    • Vectors
    • Matrices
    • List
    • Data frames
    • Using c, Cbind, Rbind, attach and detach functions in R
    • Factors

      • Reading Data
      • Writing Data
      • Slicing of Data
      • Merging Data
      • Apply functions

    • If
    • For
    • While
    • Repeat
    • Break
    • Return
    • Functions
    • Name matching of arguments

    • Box plot
    • Histogram
    • Pareto charts
    • Pie graph
    • Line chart
    • Scatterplot
    • Developing graphs

    • Simulation (Sampling from Probability Distributions)
    • Supervised and Unsupervised Learning
    • Regression
    • Prediction
    • Dimension reduction (Principal Component Analysis)
    • Decision Tree
    • Anomaly Detection in data
    • Data clustering (k-means)
    • Classification (k- nearest neighbor)
    • Classification (Support Vector Machine)