What We Offer
We offer 2-Days AI workshop which enables participants to work on Python Programming Applications. This course is an introduction to Python Programming and algorithms. Participants will develop a basic understanding of the principles of Python Programming and derive practical solutions using predictive analytics. We will also examine why algorithms play an essential role in Big Data analysis.
The Outcome of ML workshop
This workshop will cover the basic algorithm that helps us to build and apply prediction functions with an emphasis on practical applications. Attendees, at the end of this workshop, will be technically competent in the basics and the fundamental concepts of Python Programming such as:
- Understand components of a Python Programming algorithm.
- Apply Python Programming tools to build and evaluate predictors
- How Python Programming uses computer algorithms to search for patterns in data
- How to uncover hidden themes in large collections of documents using topic modeling
- How to prepare data, deal with missing data and create custom data analysis solutions for different industries
Python Programming Workshop Highlights:
- Certificate of Participation from CETA, UMT Lahore
Benefits to the participants
- Learn & Interact with renowned Industry Experts
- Hands on Python Programming Applications
- The Certificate of Participation from CETA, UMT Lahore
Target Audience
The program is open to the faculty of engineering colleges, Research Scholars, students and other working professionals are also, eligible.
In the Python Programming Training students get a hands-on learning experience.
Individuals will start with the Python programming basics of writing and running Python scripts and then move on to learning more advanced Python programming features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. In this Python Fundamentals training emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting.
Audience: Open to all those that are new to the Python programming language. Users who want to learn Python and use it for application development, system administration, or just to automate tasks in a simple, yet powerful way.
Python Programming with python programming
| Day 1: Developing the Fundamentals | Day 2: Diving into Python Programming |
|---|
Module 1: Introduction to Python Programming (1.5 hours)
- What is Python Programming?
- Installation and introduction of tools
- Python Programming algorithms
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Module 3: Supervised vs. unsupervised learning (2 hours)
- Review of Python Programming algorithms
- Classification, linear regression and logistic regression
- Decision trees
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Module 2: Exploring and using data sets (1.5 hours)
- Learn the steps to pre-process a dataset and prepare it for Python Programming algorithms
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Module 4: Model Evaluation (1.5 hours)
- Feature Engineering and Model Selection
- Model Evaluation Metrics - Accuracy, RMSE, ROC, AUC, Confusion Matrix, Precision, Recall, F1 Scoreli>
- Overfitting and Bias-Variance trade-off
- Cross Validation
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Takeaways
After this lesson, you will be able to:
- Collect data from a variety of sources (e.g., Excel, web-scraping, APIs and others)
- Explore large data sets
- Clean and "munge" the data to prepare it for analysis
- Apply Python Programming algorithms to gain insight from the data
- Visualize the results of your analysis
- Build your own library and Python scripts
Prerequisites and Preparation
Beginner/intermediate. This workshop is for analysts, product managers, mathematicians, business managers or anyone else that wants to learn about Python Programming. A background in computer science, programming, and/or statistics is preferred for this workshop. It is not required but you are expected to be somewhat familiar with the command line tools and how to write simple programs.
Python Programming Training Objectives
- Master the fundamentals of writing Python scripts
- Learn core Python scripting elements such as variables and flow control structures
- Discover how to work with lists and sequence data
- Write Python functions to facilitate code reuse
- Use Python to read and write files
- Make their code robust by handling errors and exceptions properly
- Work with the Python standard library
- Explore Python's object-oriented features
- Search text using regular expressions
The Benefits: This training provides intensive, hands-on, and in-depth introductions to the Python programming language. Additionally, these courses can cover the database, internet or text processing facilities of Python.
Trainers Profile
Muhammad Shaheryar
Muhammad Shaheryar enjoys an international reputation as a Python trainer. He offers on-line Python courses in different platforms around the globe. M. Shaheryar holds a Master degree in Computer Science from NUST University (Islamabad) with emphasis on Python Programming. He has more than 5 years of teaching experience in programming and ML courses.