Python with Machine Learning Workshop – 18 Hours

Python with Machine Learning Workshop

Duration: 18 Hours
Build a strong foundation in Python programming and Machine Learning through our practical Python with Machine Learning Workshop. This workshop is designed for students, graduates, and beginners who want to learn Python, data analysis, and basic machine learning concepts with hands-on practice.
Participants will learn how Python is used in Artificial Intelligence, Data Science, and Machine Learning. They will work with real datasets, create visualizations, train simple machine learning models, and complete a mini project.

Workshop Modules

Module 1: Introduction to Python and Machine Learning

Duration: 2 Hours
Understand Python programming, its applications, Artificial Intelligence, Data Science, and Machine Learning. Learn the difference between AI, Machine Learning, and Deep Learning.
Practical Activity:
Install Python, Jupyter Notebook or Google Colab, and write basic Python programs.

Module 2: Python Programming Fundamentals

Duration: 3 Hours
Learn Python variables, data types, operators, conditional statements, loops, functions, lists, tuples, dictionaries, and sets.
Practical Activity:
Write basic Python programs for calculations, student marks, attendance, and simple decision-making tasks.

Module 3: Python for Data Analysis

Duration: 3 Hours
Learn how to work with datasets using NumPy and Pandas. Understand data loading, data cleaning, sorting, filtering, and handling missing values.
Practical Activity:
Import a CSV dataset and perform basic data cleaning and analysis.

Module 4: Data Visualization

Duration: 2 Hours
Learn to create charts and graphs using Matplotlib and Seaborn.
Practical Activity:
Create bar charts, line charts, pie charts, histograms, and scatter plots from a dataset.

Module 5: Introduction to Machine Learning

Duration: 2 Hours
Understand supervised learning, unsupervised learning, features, labels, training data, testing data, and model prediction.
Practical Activity:
Prepare a dataset for machine learning using train-test split.

Module 6: Machine Learning Algorithms

Duration: 3 Hours
Learn basic machine learning algorithms such as Linear Regression, Logistic Regression, Decision Tree, K-Nearest Neighbors, and K-Means Clustering.
Practical Activity:
Train and test simple machine learning models using Scikit-learn.

Module 7: Mini Project

Duration: 2 Hours
Participants will complete a basic machine learning mini project.
Project Options:

• Student Performance Prediction
• House Price Prediction
• Customer Purchase Prediction
• Iris Flower Classification
• Sales Prediction

Module 8: Presentation and Assessment

Duration: 1 Hour
Participants will demonstrate their mini project and explain their Python code, dataset, model, and output.
Assessment Includes:

• Project demonstration
• Viva
• Feedback session

Pricing Structure

Workshop Duration: 18 Hours
Inhouse Workshop: ?2,500 per candidate
Onsite Workshop: ?1,500 per candidate
For a batch of 40 students:

• 40 × ?1,500 = ?60,000 for an onsite workshop
• 40 × ?2,500 = ?1,00,000 for an inhouse workshop

Batch Size Criteria

The batch size should be a minimum of 40 participants and a maximum of 60 participants.
For batches with fewer than 40 participants, workshop charges will be calculated on an hourly basis.