Live
Machine
with Python
Live Mentorship by Experts | Course Completion Certificate | Internship Certificate
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Course overview
The Machine Learning with Python course by Embrizon Technologies is designed to equip learners with comprehensive skills in machine learning, from foundational Python programming to advanced concepts like neural networks and tree-based models. Through hands-on projects and real-world applications, participants will gain practical experience in data analysis, preprocessing, and model building. The course also offers personalized mentorship, live sessions, and lifetime access to learning materials.
COURSE STRUCTURE
Python Foundations
- Data types, file handling
- Anaconda & Jupyter Notebook setup
- Lists, tuples, sets, dictionaries
Loops & Conditionals
- If, elif, else conditions
- For and while loops
- Numpy hands-on exercises
Data Analysis & Visualization
- Pandas for data manipulation
- Matplotlib & Seaborn for data visualization
- Exploratory data analysis
Statistical Thinking
- Central tendency, dispersion measures
- IQR statistics hands-on
- Supervised & unsupervised learning
Regression Models
- Linear & logistic regression
- Model metrics and evaluation
- Hands-on projects in regression
Data Preprocessing
- Handling missing values, outliers
- Standardization, normalization
- Feature scaling & selection
Tree-Based Models
- Decision trees for classification & regression
- Bagging, Boosting, and Random Forest
Neural Networks & Capstone Project
- Fundamentals of neural networks
- Real-world capstone project
- Data science package integration
- Introduction to Node.js and NPM
- Setting up a Node.js Server
- Express.js Framework for Routing and Middleware
- Connecting to Databases (MongoDB, MySQL)
- Building RESTful APIs with Node.js
- Authentication using JWT and bcrypt
- Deployment of Node.js Applications
- Error Handling and Logging in Node.js
Learning Objectives
- Understand the fundamentals of Python programming.
- Learn data manipulation and analysis using Numpy and Pandas.
- Master data visualization techniques with Matplotlib and Seaborn.
- Develop a solid foundation in statistical thinking for data analysis.
- Implement machine learning algorithms for supervised and unsupervised learning.
- Gain expertise in regression models (linear and logistic).
Learning Methods
- Presentations & Lectures
- Hands-On, Project-Based Learning
- Live Mentorship Sessions
- Self-Paced Learning & Recorded Lectures
Learning Outcome
Participants will become proficient in Python and data analysis, gaining hands-on experience with machine learning algorithms and data preprocessing techniques. By completing a capstone project, they will showcase their ability to apply machine learning skills to real-world problems.
How to Enroll Program
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Download CurriculumPricing Plans
Elevate your skills with hands-on experience, 12+ live projects, and mentorship from industry-leading experts in the top 2% of their field. Our tailored plans cater to your unique needs, allowing you to transform your practical knowledge into real-world expertise.
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You’ll receive a certificates from our side
Frequently Asked Questions
What is the difference between the Live and Self-Paced courses?
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Live Class:
- Offers real-time interaction with mentors.
- Includes scheduled live sessions where you can ask questions and get instant feedback.
- Provides personalized mentorship through live engagement.
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Self-Paced Class:
- Access pre-recorded video content at your convenience.
- No fixed schedule – you can learn whenever it suits you.
- Get mentor support via pre-scheduled mentoring sessions without the need for live attendance.
Will I receive a certificate after completing the course?
Yes, upon successful completion of the course, you will receive a Certificate for Course Completion.
What type of projects will I be working on?
ou’ll be working on 5+ live projects that are designed to give you hands-on experience and practical knowledge.
How much mentor support is provided in the Self-Paced course?
The Self-Paced course offers 15+ hours of mentor training to help guide you through the course and projects.
How do I enroll in the Self-Paced course?
You can easily enroll in the Self-Paced course by clicking on the Enroll Now button and completing the registration process.
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