Machine Learning using R and Python

Simpliv

Course

Online

£ 10 VAT inc.

The best Other Education courses

See all

See all

Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

This course has been prepared for professionals aspiring to learn the basics of R and Python and develop applications involving machine learning techniques such as recommendation, classification, regression and clustering
Through this course, you will learn to solve data-driven problems and implement your solutions using the powerful yet simple programming language like R and Python and its packages
After completing this course, you will gain a broad picture of the machine learning environment and the best practices for machine learning techniquesWho this course is for:All graduates or pursuing students

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

This course has been prepared for professionals aspiring to learn the basics of R and Python to develop applications involving machine learning techniques such as recommendation, classification, and clustering. Through this course, you will learn to solve data-driven problems and implement your solutions using the powerful yet simple programming language R and Python with its packages. After completing this course, you will gain a broad picture of the machine learning environment and the best practices for machine learning techniques

All graduates or pursuing students

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Emagister S.L. (data controller) will process your data to carry out promotional activities (via email and/or phone), publish reviews, or manage incidents. You can learn about your rights and manage your preferences in the privacy policy.

Reviews

This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 6 years

Subjects

  • Part Time
  • Credit
  • Installation
  • Data analysis
  • Programming

Course programme

MACHINE LEARNING using R and PYTHON 83 lectures 69:42:18 1. Introduction to Machine Learning 2. Introduction to R Programming 3. R Installation & Setting R Environment 4. Variables, Operators & Data types 5. Structures 6. Vectors 7. Vector Manipulation & Sub-Setting 8. Constants 9. RStudio Installation & Lists Part 1 10. Lists Part 2 11. List Manipulation, Sub-Setting & Merging 12. List to Vector & Matrix Part 1 13. Matrix Part 2 14. Matrix Accessing 15. Matrix Manipulation, rep fn & Data Frame 16. Data Frame Accessing 17. Column Bind & Row Bind 18. Merging Data Frames Part 1 19. Merging Data Frames Part 2 20. Melting & Casting 21. Arrays 22. Factors 23. Functions & Control Flow Statements 24. Strings & String Manipulation with Base Package 25. String Manipulation with Stringi Package Part 1 26. String Manipulation with Stringi Package Part 2 & Date and Time Part 1 27. Date and Time Part 2 28. Data Extraction from CSV File 29. Data Extraction from EXCEL File 30. Data Extraction from CLIPBOARD, URL, XML & JSON Files 31. Introduction to DBMS 32. Structured Query Language 33. Data Definition Language Commands 34. Data Manipulation Language Commands 35. Sub Queries & Constraints 36. Aggregate Functions, Clauses & Views 37. Data Extraction from Databases Part 1 38. Data Extraction from Databases Part 2 & DPlyr Package Part 1 39. DPlyr Package Part 2 40. DPlyr Functions on Air Quality Data Set 41. Plyr Package for Data Analysis 42. Tidyr Package with Functions 43. Factor Analysis 44. Prob.Table & CrossTable 45. Statistical Observations Part 1 46. Statistical Observations Part 2 47. Statistical Analysis on Credit Data set 48. Data Visualization, Pie Charts, 3D Pie Charts & Bar Charts 49. Box Plots 50. Histograms & Line Graphs 51. Scatter Plots & Scatter plot Matrices 52. Low Level Plotting 53. Bar Plot & Density Plot 54. Combining Plots 55. Analysis with ScatterPlot, BoxPlot, Histograms, Pie Charts & Basic Plot 56. MatPlot, ECDF & BoxPlot with IRIS Data set 57. Additional Box Plot Style Parameters 58. Set.Seed Function & Preparing Data for Plotting 59. QPlot, ViolinPlot, Statistical Methods & Correlation Analysis 60. ChiSquared Test, T Test, ANOVA 61. Data Exploration and Visualization 62. Machine Learning, Types of ML with Algorithms 63. How Machine Solve Real Time Problems 64. K-Nearest Neighbor(KNN) Classification 65. KNN Classification with Cancer Data set Part 1 66. KNN Classification with Cancer Data set Part 2 67. Navie Bayes Classification 68. Navie Bayes Classification with SMS Spam Data set & Text Mining 69. WordCloud & Document Term Matrix 70. Train & Evaluate a Model using Navie Bayes 71. MarkDown using Knitr Package 72. Decision Trees 73. Decision Trees with Credit Data set Part 1 74. Decision Trees with Credit Data set Part 2 75. Support Vector Machine, Neural Networks & Random Forest 76. Regression & Linear Regression 77. Multiple Regression 78. Generalized Linear Regression, Non Linear Regression & Logistic Regression 79. Clustering 80. K-Means Clustering with SNS Data Analysis 81. Association Rules (Market Basket Analysis) 82. Market Basket Analysis using Association Rules with Groceries Dataset 83. Python Libraries for Data Science MACHINE LEARNING using R and PYTHON. 83 lectures 69:42:18 1. Introduction to Machine Learning 2. Introduction to R Programming 3. R Installation & Setting R Environment 4. Variables, Operators & Data types 5. Structures 6. Vectors 7. Vector Manipulation & Sub-Setting 8. Constants 9. RStudio Installation & Lists Part 1 10. Lists Part 2 11. List Manipulation, Sub-Setting & Merging 12. List to Vector & Matrix Part 1 13. Matrix Part 2 14. Matrix Accessing 15. Matrix Manipulation, rep fn & Data Frame 16. Data Frame Accessing 17. Column Bind & Row Bind 18. Merging Data Frames Part 1 19. Merging Data Frames Part 2 20. Melting & Casting 21. Arrays 22. Factors 23. Functions & Control Flow Statements 24. Strings & String Manipulation with Base Package 25. String Manipulation with Stringi Package Part 1 26. String Manipulation with Stringi Package Part 2 & Date and Time Part 1 27. Date and Time Part 2 28. Data Extraction from CSV File 29. Data Extraction from EXCEL File 30. Data Extraction from CLIPBOARD, URL, XML & JSON Files 31. Introduction to DBMS 32. Structured Query Language 33. Data Definition Language Commands 34. Data Manipulation Language Commands 35. Sub Queries & Constraints 36. Aggregate Functions, Clauses & Views 37. Data Extraction from Databases Part 1 38. Data Extraction from Databases Part 2 & DPlyr Package Part 1 39. DPlyr Package Part 2 40. DPlyr Functions on Air Quality Data Set 41. Plyr Package for Data Analysis 42. Tidyr Package with Functions 43. Factor Analysis 44. Prob.Table & CrossTable 45. Statistical Observations Part 1 46. Statistical Observations Part 2 47. Statistical Analysis on Credit Data set 48. Data Visualization, Pie Charts, 3D Pie Charts & Bar Charts 49. Box Plots 50. Histograms & Line Graphs 51. Scatter Plots & Scatter plot Matrices 52. Low Level Plotting 53. Bar Plot & Density Plot 54. Combining Plots 55. Analysis with ScatterPlot, BoxPlot, Histograms, Pie Charts & Basic Plot 56. MatPlot, ECDF & BoxPlot with IRIS Data set 57. Additional Box Plot Style Parameters 58. Set.Seed Function & Preparing Data for Plotting 59. QPlot, ViolinPlot, Statistical Methods & Correlation Analysis 60. ChiSquared Test, T Test, ANOVA 61. Data Exploration and Visualization 62. Machine Learning, Types of ML with Algorithms 63...

Additional information

Before you start proceeding with this course, we assume that you have a prior exposure to R packages and Python, Numpy, pandas, scipy, matplotlib, Windows and any of the Linux operating system flavors. If you are new to any of these concepts, here you can learn all the concepts from basics on wards

See related categories

Machine Learning using R and Python

£ 10 VAT inc.

The best Other Education courses

See all

See all