Bonhooghly, Kolkata, India - 700108.
Details verified of Jassreet K.✕
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Punjabi Mother Tongue (Native)
Hindi Proficient
English Proficient
Punjab University Chandigarh 2015
Master of Business Administration (M.B.A.)
Bonhooghly, Kolkata, India - 700108
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Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
3
Course Duration provided
1-3 months
Seeker background catered to
Educational Institution, Individual
Certification provided
No
Python applications taught
Machine Learning with Python, Help in assignment, Testing with Python, Data Extraction with Python , Scipy Stack with Python , Data Science with Python, Data Visualization with Python, Data Analysis with Python
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in R Programming
3
Teaching Experience in detail in R Programming
Basic in R(Conditional Statement , Loops)Date Function , Basic will cover all other topics as well. Different Packages required in R , Machine learning algorithms(Supervised and Unsupervised) : Classifications , Predictive Modelling . KNN , SVM , Decision Tree , Random Forest , Naive Bayes , Logistics Regression and Linear Regression and k - Means Clustering . Statistics will also be covered here
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
3
Data science techniques
Machine learning, R Programming, Python, SAS
Teaching Experience in detail in Data Science Classes
End to end training on machine learning implementing Python, R etc.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Analysis Classes
3
Data analysis concepts taught
Regression Analysis, Prediction Analytics, Cluster Analysis
Teaching Experience in detail in Data Analysis Classes
Training on Supervised and Unsupervised Learning Methods
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
1. Which classes do you teach?
I teach Data Analysis, Data Science, Data Visualization, Python Training and R Programming Classes.
2. Do you provide a demo class?
Yes, I provide a free demo class.
3. How many years of experience do you have?
I have been teaching for 3 years.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
3
Course Duration provided
1-3 months
Seeker background catered to
Educational Institution, Individual
Certification provided
No
Python applications taught
Machine Learning with Python, Help in assignment, Testing with Python, Data Extraction with Python , Scipy Stack with Python , Data Science with Python, Data Visualization with Python, Data Analysis with Python
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in R Programming
3
Teaching Experience in detail in R Programming
Basic in R(Conditional Statement , Loops)Date Function , Basic will cover all other topics as well. Different Packages required in R , Machine learning algorithms(Supervised and Unsupervised) : Classifications , Predictive Modelling . KNN , SVM , Decision Tree , Random Forest , Naive Bayes , Logistics Regression and Linear Regression and k - Means Clustering . Statistics will also be covered here
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
3
Data science techniques
Machine learning, R Programming, Python, SAS
Teaching Experience in detail in Data Science Classes
End to end training on machine learning implementing Python, R etc.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Analysis Classes
3
Data analysis concepts taught
Regression Analysis, Prediction Analytics, Cluster Analysis
Teaching Experience in detail in Data Analysis Classes
Training on Supervised and Unsupervised Learning Methods
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
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