AMIR - Python tutor - Bengaluru
AMIR - Python tutor - Bengaluru

AMIR's profile, diploma and contact details have been verified by our experts

AMIR

  • Rate UGX 20,248
  • Response 24h
  • Students

    Number of students AMIR has accompanied since arriving at Superprof

    1

    Number of students AMIR has accompanied since arriving at Superprof

AMIR - Python tutor - Bengaluru

UGX 20,248/hr

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  • Python

I love teaching python for hobby and which also help in return updating towards python Career. I will be teaching you from my thousands learning hours and on job experience.

  • Python

Lesson location

About AMIR

M.TECH ( ENGINEERING) FROM BANGALORE UNIVERSITY AND AT UNIVERSITY TAUGHT PYTHON PROGRAMMING MANY FRIENDS AFTER 1 YEAR SINCE THAN MY LOVE FOR TEACHING PYTHON FOR STUDENTS INCREASE DRASTICALLY
I HAVE TAUGHT MANY STUDENTS OFFLINE AND MANY YEAR FREELANCER PYTHON EXPERIENCE.

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About the lesson

  • Primary
  • Secondary
  • Tertiary
  • +14
  • levels :

    Primary

    Secondary

    Tertiary

    University

    Adult Education

    Masters

    Diploma

    PhD (Doctor of Philosophy)

    Post-Graduate Diploma in Legal Practice

    MBA

    Early childhood education

    Beginner

    Intermediate

    Advanced

    Professional/Expert

    Other

    Children

  • English

All languages in which the lesson is available :

English

Will be covering these topics in this course:

1. Python Basics like lists, tuples, sets, dictionaries, functions, loops, control flows, decorators, generators, namedtuple, strings, slicing, debugging, jupyter notebook, unit testing using pytest, multithreading, OOPs concepts, hands-on with their implementation, sockets, lambdas, exceptions, re module, defaultdict, working with datetime, file handling, csv files, installing packages uing pip, with some small guided projects.

2. Data Analysis in Python:

Cleaning and preparing data in Python, working with numpy and pandas extensively with each and every minute details, working on real-world datasets and doing hands-on experiments, data structures used in numpy and pandas, merging dataframes, pivot tables, Data visualization using matplotlib, etc.

3. Introduction to Machine Learning :

Building our first neural network and learn some of the basic concepts behind ML, creating and training our neural network that can recognize images, etc..., using keras, tensorflow and scikit-learn during the process, compiling and training the model and using it to pedict values with real hands-on examples.

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Rates

Rate

  • UGX 20,248

Pack prices

  • 5h: UGX 100
  • 10h: UGX 200

online

  • UGX 20,248/hr

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