Indira Nagar, Lucknow, India - 226016
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Details verified of Nitesh Kumar Sharma✕
Identity
Education
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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
2
Course Duration provided
1-3 months, 6-12 months, 3-6 months
Seeker background catered to
Educational Institution, Corporate company, Individual
Certification provided
No
Python applications taught
Data Extraction with Python , Web Scraping with Python , Help in assignment, Web Development with Python , Data Visualization with Python, Text Processing with Python, Automation with Python , Scipy Stack with Python , Data Analysis with Python , Machine Learning with Python, GUI (Graphical User Interfaces) with Python , Data Science with Python, Regular Expressions with Python
Teaching Experience in detail in Python Training classes
I had worked in TCS after that I started to share my knowledge by providing the training as my part-time. I have provided training in Python, Django, Machine Learning, Deep Learning, Data Science more than 150+ Engineering colleges, and online students.
Class Location
Online (video chat via skype, google hangout etc)
I am Willing to Travel
Tutor's Home
Years of Experience in Deep Learning Training
2
Deep_Learning_Techniques
Tensorflow, Python
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
2
Data science techniques
Artificial Intelligence, Python, Machine learning
4.7 out of 5 18 reviews
Pulkit Dhingra
Python Training
"Brilliant, The informative session learnt a lot. Doubts cleared and explained every part in such a way that I understand all in just one go. "
Anurag Srivastava
"It is a very good experience to learn from nithesh sir. There I learn the python basic, advance,data science, ML by niteshsir . He is a highly self-motivated person. "
Sarvesh Singh
Python Training
"Sir is best for python trainer. I spend a lot of time with sir, his teaching ability is mind-blowing "
Answered on 19/10/2023 Learn IT Courses/Data Science
Answered on 19/10/2023 Learn IT Courses/Data Science
To handle categorical data in machine learning, you can use techniques like one-hot encoding, where each category becomes a binary feature, or label encoding, which assigns a unique number to each category. These transformations allow machine learning models to work with categorical data effectively.
Answered on 19/10/2023 Learn IT Courses/Data Science
Answered on 19/10/2023 Learn IT Courses/Data Science
Supervised learning uses labeled data (input-output pairs) to train a model, while semi-supervised learning uses a combination of labeled and unlabeled data, often improving performance by leveraging both types of information. It's like having some answers and trying to find more by using clues from the questions you don't know.
Answered on 19/10/2023 Learn IT Courses/Data Science
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Certified
The Certified badge indicates that the Tutor has received good amount of positive feedback from Students.