JP Nagar 7th Phase, Bangalore, India - 560078.
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Hindi
English
Kendriya Vidyalaya, Nepanagar M.P. 2004
CBSE SSE
IET, Devi Ahilya University, Indore 2008
Bachelor of Engineering (B.E.)
JP Nagar 7th Phase, Bangalore, India - 560078
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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 Mining Data
11
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
11
Data science techniques
R Programming, SAS, Python, Artificial Intelligence, Machine learning, Java
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
11
Course Duration provided
1-3 months
Seeker background catered to
Educational Institution, Corporate company, Individual
Certification provided
Yes
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Class 12 Tuition
11
Board
CBSE, State, IGCSE, ISC/ICSE, International Baccalaureate
IB Subjects taught
Computer Science, Geography, History, Information Technology, Mathematics, Physics, Biology, Sports, Chemistry
ISC/ICSE Subjects taught
History, Physics, Computer Science, Biology, Geography, Chemistry, Mathematics
CBSE Subjects taught
Computer Science, Mathematics, English, Chemistry, History, Physics, Geography, Biology, Biotechnology
IGCSE Subjects taught
Chemistry, Environmental Management, History, Mathematics, Physics, Biology, Geography
Taught in School or College
No
State Syllabus Subjects taught
Mathematics, Physics, Geography, Statistics, Electronics, Chemistry, History, Biology, Computer Science
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
11
BTech Computer Science subjects
Machine Learning, Big Data Analytics, Data Structures and Algorithms, Machine Intelligence, Data Communication, Information Retrieval, Design and Analysis of Algorithms, Bioinformatics, Microprocessors, Artificial Intelligence, Linux Programming, Natural Language Processing
BTech Branch
BTech Computer Science Engineering
Experience in School or College
I am a professional data scientist.
Type of class
Regular Classes, Crash Course
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
1. Which classes do you teach?
I teach BTech Tuition, Class 12 Tuition, Data Mining, Data Science and Python Training 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 11 years.
Answered on 17/10/2018 Learn IT Courses/Hadoop
Answered on 17/10/2018 Learn IT Courses/Programming Languages/Python
pickling and unpickling mean serializing (and deserializing) python objects in order to store them in filesystem for later use. What this means in common language is if you have large object like a large dictionary or a data table that you would want to use after the current python process is cleared from the RAM, the next time without again populating the object through code, you can simply convert them into lightweight objects( that python takes a very small time to process and hence make your program run faster over multiple iterations) and store them on the hard disk.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Mining Data
11
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
11
Data science techniques
R Programming, SAS, Python, Artificial Intelligence, Machine learning, Java
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
11
Course Duration provided
1-3 months
Seeker background catered to
Educational Institution, Corporate company, Individual
Certification provided
Yes
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Class 12 Tuition
11
Board
CBSE, State, IGCSE, ISC/ICSE, International Baccalaureate
IB Subjects taught
Computer Science, Geography, History, Information Technology, Mathematics, Physics, Biology, Sports, Chemistry
ISC/ICSE Subjects taught
History, Physics, Computer Science, Biology, Geography, Chemistry, Mathematics
CBSE Subjects taught
Computer Science, Mathematics, English, Chemistry, History, Physics, Geography, Biology, Biotechnology
IGCSE Subjects taught
Chemistry, Environmental Management, History, Mathematics, Physics, Biology, Geography
Taught in School or College
No
State Syllabus Subjects taught
Mathematics, Physics, Geography, Statistics, Electronics, Chemistry, History, Biology, Computer Science
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
11
BTech Computer Science subjects
Machine Learning, Big Data Analytics, Data Structures and Algorithms, Machine Intelligence, Data Communication, Information Retrieval, Design and Analysis of Algorithms, Bioinformatics, Microprocessors, Artificial Intelligence, Linux Programming, Natural Language Processing
BTech Branch
BTech Computer Science Engineering
Experience in School or College
I am a professional data scientist.
Type of class
Regular Classes, Crash Course
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
Answered on 17/10/2018 Learn IT Courses/Hadoop
Answered on 17/10/2018 Learn IT Courses/Programming Languages/Python
pickling and unpickling mean serializing (and deserializing) python objects in order to store them in filesystem for later use. What this means in common language is if you have large object like a large dictionary or a data table that you would want to use after the current python process is cleared from the RAM, the next time without again populating the object through code, you can simply convert them into lightweight objects( that python takes a very small time to process and hence make your program run faster over multiple iterations) and store them on the hard disk.
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