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Machine Learning Made Easy - Beginner To Advanced Using R
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Machine Learning Made Easy : Beginner to Advanced using R
Learn Machine Learning Algorithms using R from experts with hands on examples and practice sessions. With 5 different pr
What you'll learn
• R Programming, Data Handling and Cleaning, Basic Statistics, Classical Machine Learning Algorithms, Model Selection and Validation, Advanced Machine Learning Algorithms, Ensemble Learning.
• Write your own R scripts and work in R environment.
• Import, manipulate, clean up, sanitize and export datasets.
• Understand basic statistics and implement using R.
• Understand data science life cycle while understanding steps of building, validating, improving and implementing the machine learning models.
• Do powerful analysis on data, find insights and present them in visual manner.
• Learn classical algorithms like Linear Regression, Logistic Regression, Decision Trees and advance machine learning algorithms like SVM, Artificial Neural Networks, Reinforced Learning, Random Forests and Boosting and clustering algorithms like K-means.
• Know how each machine learning algorithm works and which one to choose according to the type of problem.
• Build more than one powerful machine learning model and be able to select the best one and improve it further.
Requirements
• Familiarity with high school mathematics.
Description
Want to know how Machine Learning algorithms work and how people apply it to solve data science problems? You are looking at right course!
This course has been created, designed and assembled by professional Data Scientists who have worked in this field for nearly a decade. We can help you understand the complex machine learning algorithms while keeping you grounded to the implementation on real business and data science problems.
We will let you feel the water and coach you to become a full swimmer in the realm of data science and Machine Learning. Every tutorial will increase your skill level by challenging your ability to foresee, yet letting you improve upon self.
We are sure that you will have fun while learning from our tried and tested structure of course to keep you interested in what’s coming next.
Here is how the course is going to work:
• Part 1 – Introduction to R Programming.
o This is the part where you will learn basic of R programming and familiarize yourself with R environment.
o Be able to import, export, explore, clean and prepare the data for advance modeling.
o Understand the underlying statistics of data and how to report/document the insights.
• Part 2 – Machine Learning using R
o Learn, upgrade and become expert on classic machine learning algorithms like Linear Regression, Logistic Regression and Decision Trees.
o Learn which algorithm to choose for specific problem, build multiple model, learn how to choose the best model and be able to improve upon it.
o Move on to advance machine learning algorithms like SVM, Artificial Neural Networks, Reinforced Learning, Random Forests and Boosting and clustering algorithms like K-means.
Features:
• Fully packed with LAB Sessions. One to learn from and one for you to do it yourself.
• Course includes R code, Datasets and other supporting material at the beginning of each section for you to download and use on your own.
• Quiz after each section to test your learning.
Bonus:
• This course is packed with 5 projects on real data related to different domains to prepare you for wide variety of business problems.
• These projects will serve as your step by step guide to solve different business and data science problems.
Who this course is for:
• Anyone interested in Data Science and Machine Learning.
• Students who want a head start in Data Science field.
• Data analysts who want to upgrade their skills in Machine Learning.
• People who want to add value to their work and business by using Machine Learning.
• People with basics understanding of classical machine learning algorithms like linear regression or logistic regression, but want to learn more about it.
• People interested in understanding application of machine learning algorithms on real business problems.
• People interested in understanding how a machine learning algorithm works and what's the math behind it.
VISITOR COMMENTS (0 )
FILE LIST
Filename
Size
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/1. Getting Started.mp4
10.2 MB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/1. Getting Started.srt
7 KB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/1.1 1.R Introuction Class_v2.pdf.pdf
653.7 KB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/1.2 Section 1. R Introduction.R.zip.zip
1.5 KB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/10. Errors.mp4
15.3 MB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/10. Errors.srt
11.8 KB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/11. Introduction to R quiz.html
165 B
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/2. R Environment.mp4
9.6 MB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/2. R Environment.srt
6.8 KB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/3. R Packages.mp4
11.1 MB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/3. R Packages.srt
5.4 KB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/4. R Data types Vectors.mp4
31.8 MB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/4. R Data types Vectors.srt
14.2 KB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/5. R Data Frames.mp4
27 MB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/5. R Data Frames.srt
17.1 KB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/6. List.mp4
21.1 MB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/6. List.srt
13.8 KB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/7. Factor and Matrix.mp4
7.7 MB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/7. Factor and Matrix.srt
4.9 KB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/8. R History and Scripts.mp4
22.1 MB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/8. R History and Scripts.srt
12.7 KB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/9. R Functions.mp4
9.7 MB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/9. R Functions.srt
7.2 KB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/1. Introduction to Data Handling.mp4
2.6 MB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/1. Introduction to Data Handling.srt
2.2 KB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/1.1 Section 2.R Data Handling.R.zip.zip
2.6 KB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/1.2 2. R DataHandling_Class_v1.pdf.pdf
521.6 KB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/1.3 Section 2. Data Handling Dataset.zip.zip
40.6 MB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/10. Data handling quiz.html
165 B
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/2. Importing the Datasets.mp4
12.3 MB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/2. Importing the Datasets.srt
9.3 KB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/3. Checklist.mp4
12.1 MB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/3. Checklist.srt
7.7 KB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/4. Subsetting the Data.mp4
10.1 MB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/4. Subsetting the Data.srt
6.4 KB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/5. Subsetting Variable Condition.mp4
15 MB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/5. Subsetting Variable Condition.srt
7.5 KB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/6. Calculated Fields_ifelse.mp4
15.8 MB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/6. Calculated Fields_ifelse.srt
10.3 KB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/7. Sorting and Duplicates.mp4
21.7 MB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/7. Sorting and Duplicates.srt
13.2 KB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/8. Joining and Merging.mp4
12 MB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/8. Joining and Merging.srt
7.5 KB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/9. Exporting the Data.mp4
8.6 MB
Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/9. Exporting the Data.srt
4.5 KB
Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/1. Introduction and Sampling.mp4
6.4 MB
Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/1. Introduction and Sampling.srt
5.5 KB
Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/1.1 3. R Basic Statistics Graphs and Reporting_Class_v2 .pdf.pdf
627.9 KB
Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/1.2 Section 3. R Basic Statistics Dataset.zip.zip
37.2 MB
Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/1.3 Section 3. R Basic Statistics Graphs and Reporting .R.zip.zip
1.3 KB
Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/2. Descriptive Statistics.mp4
18.2 MB
Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/2. Descriptive Statistics.srt
13 KB
Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/3. Percentiles and Quartiles.mp4
8.6 MB
Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/3. Percentiles and Quartiles.srt
6.3 KB
Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/4. Box Plots.mp4
10.2 MB
Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/4. Box Plots.srt
6.5 KB
Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/5. Creating Graphs and Conclusions.mp4
16.6 MB
Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/5. Creating Graphs and Conclusions.srt
10 KB
Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/6. Basic Statistics and graph quiz.html
165 B
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/1. Introduction to Data Cleaning and Model Building Cycle.mp4
3.7 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/1. Introduction to Data Cleaning and Model Building Cycle.srt
3.1 KB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/1.1 Section 4. Datasets.zip.zip
2.7 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/1.2 Section 4. Data Cleaning Preparing data for Analysis_v2.R.zip.zip
1.8 KB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/1.3 4. R.Data Cleaning Preparing data for Analysis_Class_v1.pdf.pdf
940.6 KB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/10. Step four Treatment-Scenario 1.mp4
15.5 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/10. Step four Treatment-Scenario 1.srt
9.3 KB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/11. Step four Treatment-Scenario 2.mp4
20.9 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/11. Step four Treatment-Scenario 2.srt
12.9 KB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/12. Data Cleaning Scenario 3.mp4
11.6 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/12. Data Cleaning Scenario 3.srt
7.6 KB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/13. Some Other Variables.mp4
5.2 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/13. Some Other Variables.srt
3.6 KB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/14. Conclusions.mp4
3.9 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/14. Conclusions.srt
2.9 KB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/2. Model Building Cycle.mp4
12.9 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/2. Model Building Cycle.srt
10.7 KB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/3. Data Cleaning Case Study.mp4
13.8 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/3. Data Cleaning Case Study.srt
9.7 KB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/4. CS lab step one basic content of dataset.mp4
24.3 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/4. CS lab step one basic content of dataset.srt
13.7 KB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/5. Variable Level Exploration Catagorical.mp4
7.8 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/5. Variable Level Exploration Catagorical.srt
6.6 KB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/6. Reading Data Dictionary.mp4
25.6 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/6. Reading Data Dictionary.srt
13.8 KB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/7. Step two Lab Categorical Variable Exploration.mp4
30 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/7. Step two Lab Categorical Variable Exploration.srt
16.8 KB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/8. Step three Lab Variable Level Exploration Continues.mp4
28.9 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/8. Step three Lab Variable Level Exploration Continues.srt
13.9 KB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/9. Data Cleaning and Treatment.mp4
13.6 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/9. Data Cleaning and Treatment.srt
10.4 KB
Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/1. Introduction and Correlation.mp4
27.3 MB
Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/1. Introduction and Correlation.srt
5.5 KB
Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/1.1 Section 5. Regression Datasets.zip.zip
17.6 KB
Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/1.2 Section 5. Regression code.R.zip.zip
1.4 KB
Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/1.3 5.Regression_in_R_Classv1.pdf.pdf
2 MB
Machine Learning Made Easy - Beginner to Advanced using R/ReadMe.txt
