Description
In this course, you are going to learn all types of Machine Learning Models implemented in R Programming Language. The Math behind every model is very important. Without it, you can never become a Good Data Scientist. That is the reason, I have covered the Math behind every model in the intuition part of each Model so that you actually have the idea what is actually happening behind the scenes and that you know what other people are talking about. By learning the Math of Machine Learning Models, you will only be able to develop models that has the high accuracy. Only model with high accuracy is applicable in real world. Accuracy in model development is the most important and also tedious job in building any machine learing model that is the reason we have highly focused on acheiving high accuracy and we have spent a lot of time in learning to make our model highly reliable and accurate.
R programming language is said to be the KING of all languages in Data Sciences and Machine Learning. We have immplemented all the Machine Learning Models in R Programming Language. Implementation in R is done in such a way so that not only you learn how to implement a specific Model in Python but you learn how to build real times templates and find the accuracy rate of Models so that you can easily test different models on a specific problem, find the accuracy rates and then choose the one which give you the highest accuracy rate. Also we have implemented all the concepts keeping in mind whatever we have learnt in the intuition part of Machine Learning Model. The implementation part is real and very much applicable in real world as well.
I am looking forward to see you in the course..
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What Will You Learn?
- Learn Machine Learning Models in R Programming Language
- Learn the Intuition of each Model
- Learn to choose the best Machine Learning Model for a specific problem
- Learn the Math behind every Machine Learning Model
- Learn to make simple and GUI Based Templates
Requirements
- Basics of any programming language required
Curriculum
Course consist of total 16h 16min of content, in total.
Section 1: Introduction and Setting up RStudio
Section 2: Simple Linear Regression Statistics
Section 3: Simple Linear Regression in R
Section 4: Multiple Linear Regression Statistics
Section 5: Polynomial Regression Statistics
Section 6: Polynomial Regression in R
Section 7: Ridge Regression Statistics
Section 8: Ridge Regression in R
Section 9: Lasso Regression Statistic
Section 10: Lasso Regression in R
Section 11: Elastic Net Regression Statistics
Section 12: Elastic Net Regression in R
Section 13: Decision Tree Regression in R
Section 14: Decision Tree Regression Statistics
Section 15: Random Forest Regression Statistics
Section 16: Random Forest Regression in R
Section 17: +++++++++Beginning Classification+++++++++
Section 18: Logistic Regression Statistics
Section 19: Logistic Regression in R
Section 20: Support Vector Classification
Section 21: Support Vector Classification in R
Section 22: K Nearest Neighbor Classification Machine Learning Model
Section 23: KNN in R
Section 24: Naive Bayes Classification Model Intuition
Section 25: Naive Bayes Classification Model in R
Section 26: Decision Tree Classification Statistics
Section 27: Decision Tree Classification in R
Section 28: Random Forest Classification Statistics
Section 29: Random Forest Classification in R
Section 30: Beginning Clustering
Section 31: K Means Clustering Statistics
Section 32: K Means Clustering in R
Section 33: Hierarchical Clustering
Section 34: Hierarchical Clustering in R
Section 35: Apriori Algorithm Statistics
Section 36: Apriori Algorithm in R
Section 37: Eclat Algorithm Statistics
Section 38: Eclat Algorithm in R
Section 39: Starting Natural Language Processing
About the Instructor
I am a Software Engineer, Data Scientist and Entrepreneur. I started coding when i was only 12. I love teaching to people who are curious to learn. I think BitDegree is the platform which is going to be the hub of online education in the future so that is why i am here to help you guys who are curious to learn
I love to teach the newbies and also the professionals. I always try to teach something new and in-demand topics to my students. I teach with passion and purpose! Every course is delivered with my students in mind. I am here to change your Life!
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