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Python Training classes > Python Training in Lucknow > Nitesh Kumar Sharma

Nitesh Kumar Sharma Python trainer in Lucknow/>

Nitesh Kumar Sharma

Python Expert | Django | Machine Learning | Deep Learning | Data Science

Indira Nagar, Lucknow, India - 226016.

Verified 32 Students

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Referral Discount: Get ₹ 250 off when you make a payment to start classes. Get started by Booking a Demo.

Details verified of Nitesh Kumar Sharma✕

Identity

Education

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Identity is verified based on matching the details uploaded by the Tutor with government databases.

Overview

I am a Python Expert, Django Web Development, Machine Learning, Deep Learning, Data Science Trainer.

I was giving online training for the last 2 years. Currently, I am working in TCS and as part-time I provide Corporate training.

I have completed my Bachelor of Technology in Computer Science & Engineering domain with Honors.

My key skills are:
* Python Programming
* Django (Web Development)
* Machine Learning
* Deep Learning
* Data Science.

Beyond that, I helped many M.Tech and Ph.D. students in their research work and thesis work.

Languages Spoken

Hindi Mother Tongue (Native)

English Proficient

Education

Dr. A. P. J. Abdul Kalam Technical University Lucknow 2019

Bachelor of Technology (B.Tech.)

Address

Indira Nagar, Lucknow, India - 226016

Verified Info

ID Verified

Education Verified

Phone Verified

Email Verified

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Teaches

Python Training classes

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

3-6 months, 1-3 months, 6-12 months

Seeker background catered to

Corporate company, Educational Institution, Individual

Certification provided

No

Python applications taught

Data Analysis with Python , Data Science with Python, Data Visualization with Python, Automation with Python , Help in assignment, Machine Learning with Python, Web Development with Python , Text Processing with Python, Data Extraction with Python , GUI (Graphical User Interfaces) with Python , Regular Expressions with Python , Web Scraping with Python , Scipy Stack 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.

Deep Learning Training

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

Data Science Classes

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

Reviews

No Reviews yet!

FAQs

1. Which classes do you teach?

I teach Data Science, Deep Learning and Python Training 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 2 years.

Contact

Answers by Nitesh Kumar Sharma (9)

Answered on 19/10/2023

What is the role of data visualization in data science?

Data visualization in data science serves as a visual storyteller, simplifying complex data into easy-to-understand charts and graphs. It helps analysts and decision-makers spot patterns, draw insights, and communicate findings effectively.
Answers 2 Comments
Dislike Bookmark

Answered on 19/10/2023

How can you handle categorical data in machine learning models?

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. ...more

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.

Answers 1 Comments
Dislike Bookmark

Answered on 19/10/2023

What is the bias-variance decomposition of mean squared error?

The bias-variance decomposition of mean squared error explains how prediction errors can be broken into three parts: bias (systematic errors), variance (fluctuations), and irreducible error (noise). It helps understand how model complexity affects overall prediction accuracy.
Answers 2 Comments
Dislike Bookmark

Answered on 19/10/2023

What is the difference between supervised and semi-supervised learning?

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... ...more

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.

Answers 1 Comments
Dislike Bookmark

Answered on 19/10/2023

What are some popular deep learning frameworks?

Some popular deep learning frameworks are TensorFlow and PyTorch, which provide tools to build, train, and deploy deep neural networks for various tasks like image recognition and natural language processing.
Answers 3 Comments
Dislike Bookmark

Contact

View All

Teaches

Python Training classes

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

3-6 months, 1-3 months, 6-12 months

Seeker background catered to

Corporate company, Educational Institution, Individual

Certification provided

No

Python applications taught

Data Analysis with Python , Data Science with Python, Data Visualization with Python, Automation with Python , Help in assignment, Machine Learning with Python, Web Development with Python , Text Processing with Python, Data Extraction with Python , GUI (Graphical User Interfaces) with Python , Regular Expressions with Python , Web Scraping with Python , Scipy Stack 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.

Deep Learning Training

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

Data Science Classes

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

No Reviews yet!

Answers by Nitesh Kumar Sharma (9)

Answered on 19/10/2023

What is the role of data visualization in data science?

Data visualization in data science serves as a visual storyteller, simplifying complex data into easy-to-understand charts and graphs. It helps analysts and decision-makers spot patterns, draw insights, and communicate findings effectively.
Answers 2 Comments
Dislike Bookmark

Answered on 19/10/2023

How can you handle categorical data in machine learning models?

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. ...more

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.

Answers 1 Comments
Dislike Bookmark

Answered on 19/10/2023

What is the bias-variance decomposition of mean squared error?

The bias-variance decomposition of mean squared error explains how prediction errors can be broken into three parts: bias (systematic errors), variance (fluctuations), and irreducible error (noise). It helps understand how model complexity affects overall prediction accuracy.
Answers 2 Comments
Dislike Bookmark

Answered on 19/10/2023

What is the difference between supervised and semi-supervised learning?

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... ...more

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.

Answers 1 Comments
Dislike Bookmark

Answered on 19/10/2023

What are some popular deep learning frameworks?

Some popular deep learning frameworks are TensorFlow and PyTorch, which provide tools to build, train, and deploy deep neural networks for various tasks like image recognition and natural language processing.
Answers 3 Comments
Dislike Bookmark

Contact

Load More

Nitesh Kumar Sharma describes himself as Python Expert | Django | Machine Learning | Deep Learning | Data Science. He conducts classes in Data Science, Deep Learning and Python Training. Nitesh is located in Indira Nagar, Lucknow. Nitesh takes Online Classes- via online medium. He has 2 years of teaching experience . Nitesh has completed Bachelor of Technology (B.Tech.) from Dr. A. P. J. Abdul Kalam Technical University Lucknow in 2019. He is well versed in Hindi and English.

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