Nagavara Village, Bangalore, India - 560077.
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English Proficient
Indian Statistical Insitute 2005
Master of Engineering - Master of Technology (M.E./M.Tech.)
Nagavara Village, Bangalore, India - 560077
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Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
5
Data science techniques
SAS, Python, Artificial Intelligence, Machine learning, R Programming
Teaching Experience in detail in Data Science Classes
Business Analytics ~ Linear and Logistic Regression Modeling (Predictive Modeling) ~ Segmentation ~ Cluster Analysis(K Means, Hierarchical Clustering) ~ Time Series Modeling ~Decision Tree (CHAID, CART) ~ Machine Learning (K-NN, Random Forest, Naïve Bayes, Gradient Boosting, Adaboost, xgBoost, Extra Tree) ~ Ridge, Lasso and Elastic Regression.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
5
Course Duration provided
3-6 months, 1-3 months, 6-12 months
Seeker background catered to
Corporate company, Individual, Educational Institution
Certification provided
No
Python applications taught
Machine Learning with Python, Data Science with Python, Data Analysis with Python
Teaching Experience in detail in Python Training classes
Business Analytics ~ Linear and Logistic Regression Modeling (Predictive Modeling) ~ Segmentation ~ Cluster Analysis(K Means, Hierarchical Clustering) ~ Time Series Modeling ~Decision Tree (CHAID, CART) ~ Machine Learning (K-NN, Random Forest, Naïve Bayes, Gradient Boosting, Adaboost, xgBoost, Extra Tree) ~ Ridge, Lasso and Elastic Regression
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in R Programming
5
Teaching Experience in detail in R Programming
Business Analytics ~ Linear and Logistic Regression Modeling (Predictive Modeling) ~ Segmentation ~ Cluster Analysis(K Means, Hierarchical Clustering) ~ Time Series Modeling ~Decision Tree (CHAID, CART) ~ Machine Learning (K-NN, Random Forest, Naïve Bayes, Gradient Boosting, Adaboost, xgBoost, Extra Tree) ~ Ridge, Lasso and Elastic Regression
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in SAS Advanced
14
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Tableau Training
5
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Class 10 Tuition
14
Board
CBSE, ICSE
CBSE Subjects taught
Science, Computer Practices, Mathematics, Information and Comunication Technology, English
ICSE Subjects taught
English, Mathematics
Experience in School or College
Private Tutions
Taught in School or College
Yes
Teaching Experience in detail in Class 10 Tuition
Private tutiions
1. Which classes do you teach?
I teach Class 10 Tuition, Data Science, Python Training, R Programming, SAS Advanced and Tableau Classes.
2. Do you provide a demo class?
Yes, I provide a paid demo class.
3. How many years of experience do you have?
I have been teaching for 5 years.
The assignment operators that R Supports are given below -> <- = ->> <<-
Answered on 02/12/2019 Learn IT Courses/Data Science
You can prepare for Data Science via taking MOOCs with sites like Coursera, Udemy, etc. which offers virtually free of cost or reasonable price. However, the significant advantage of paid online training institutes is that in case you have any doubts, there will be the option of interacting with faculty and get support, which is not available with MOOCs. It helps in learning fast as usually, self-learning takes more time in picking up the concepts than faculty-guided learning.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
5
Data science techniques
SAS, Python, Artificial Intelligence, Machine learning, R Programming
Teaching Experience in detail in Data Science Classes
Business Analytics ~ Linear and Logistic Regression Modeling (Predictive Modeling) ~ Segmentation ~ Cluster Analysis(K Means, Hierarchical Clustering) ~ Time Series Modeling ~Decision Tree (CHAID, CART) ~ Machine Learning (K-NN, Random Forest, Naïve Bayes, Gradient Boosting, Adaboost, xgBoost, Extra Tree) ~ Ridge, Lasso and Elastic Regression.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
5
Course Duration provided
3-6 months, 1-3 months, 6-12 months
Seeker background catered to
Corporate company, Individual, Educational Institution
Certification provided
No
Python applications taught
Machine Learning with Python, Data Science with Python, Data Analysis with Python
Teaching Experience in detail in Python Training classes
Business Analytics ~ Linear and Logistic Regression Modeling (Predictive Modeling) ~ Segmentation ~ Cluster Analysis(K Means, Hierarchical Clustering) ~ Time Series Modeling ~Decision Tree (CHAID, CART) ~ Machine Learning (K-NN, Random Forest, Naïve Bayes, Gradient Boosting, Adaboost, xgBoost, Extra Tree) ~ Ridge, Lasso and Elastic Regression
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in R Programming
5
Teaching Experience in detail in R Programming
Business Analytics ~ Linear and Logistic Regression Modeling (Predictive Modeling) ~ Segmentation ~ Cluster Analysis(K Means, Hierarchical Clustering) ~ Time Series Modeling ~Decision Tree (CHAID, CART) ~ Machine Learning (K-NN, Random Forest, Naïve Bayes, Gradient Boosting, Adaboost, xgBoost, Extra Tree) ~ Ridge, Lasso and Elastic Regression
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in SAS Advanced
14
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Tableau Training
5
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Class 10 Tuition
14
Board
CBSE, ICSE
CBSE Subjects taught
Science, Computer Practices, Mathematics, Information and Comunication Technology, English
ICSE Subjects taught
English, Mathematics
Experience in School or College
Private Tutions
Taught in School or College
Yes
Teaching Experience in detail in Class 10 Tuition
Private tutiions
Answered on 02/12/2019 Learn IT Courses/Data Science
You can prepare for Data Science via taking MOOCs with sites like Coursera, Udemy, etc. which offers virtually free of cost or reasonable price. However, the significant advantage of paid online training institutes is that in case you have any doubts, there will be the option of interacting with faculty and get support, which is not available with MOOCs. It helps in learning fast as usually, self-learning takes more time in picking up the concepts than faculty-guided learning.
The assignment operators that R Supports are given below -> <- = ->> <<-
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