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- Importance of Data Science and Big Data
- Introduction to Different Programming Languages (Tools) for Data Science
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- Machine Learning for Engineers using Python
Machine Learning for Engineers using Python
Quick Facts
| particular | details | |||
|---|---|---|---|---|
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
The Machine Learning for Engineers using Python Online Course is a specialized course that explores the applications of machine learning and artificial intelligence. The course will cover the concepts of machine learning used by data scientists and data engineers.
Through the Machine Learning for Engineers using Python Certification Course, learners will be introduced to the basics of machine learning and the basics of programming languages like Python. The course is suitable for electrical engineering students.
After completion of the Machine Learning for Engineers using Python Training Course, learners will be granted a certificate of completion, and the best 5%in a class will receive a merit certificate.
The highlights
- Merit certificate
- Course videos
- Expert instructors
- Project portfolio page
- Flexible course fees
- One-one zoom support sessions
- Group zoom support sessions
- Email and telephone support
- Course-specific forum group
- Weekly assignments
- Industry oriented projects
- 1-on-1 demo session
- Course counselling
- Personalized hands-on support from expert engineers
Program offerings
- Merit certificate
- Individual video support
- Group video support
- Email support
- Forum support
- Telephone support
- Professional portfolio
- Weekly assignments
- Technical projects
- 1-on-1 demo session
- Course counselling
Course and certificate fees
Fees information
₹ 40,000
The course fees for Introduction to Machine Learning Algorithms and their Implementation in Python is -
| Head | Amount |
| Course fees | Rs. 40,000 |
certificate availability
Yes
certificate providing authority
Skill Lync
Who it is for
- The course can be opted by students pursuing electrical engineering.
- The course is suitable for anyone who wishes to gain knowledge and skills in machine learning and artificial intelligence.
What you will learn
Machine learning
Data science knowledge
Knowledge of python
After completing the Machine Learning for Engineers using Python Classes, you will gain insights into the following topics:
- Data science and big data
- Programming languages used for data science
- Variables, operators, and data types
- Data structure and control structure in Python
- Function file in Python
- Evaluation metrics for model validation
- Feature extraction and hyperparameters
- Univariate and multivariate linear regression
- logistic regression and k-nearest neighbor in Python
- Decision tree and Random forest in Python
The syllabus
Week 1 - Introduction to Data Science and Programming Languages (Tools) for Data Science
Week 2 - Basics of Programming
- Variables
- Operators
- Data Types
- Data Structure
- Control Structure in Python
- Function File in Python
Week 3 - Essential Python Libraries
- NumPy
- SciPy
- Pandas
- Matplotlib
- Seaborn
Week 4 - Introduction to Machine Learning Cross-Validation, Bias-Variance Tradeoff
- Basics of Machine Learning
- Classification
- Fitting of Model with Cross-Validation
- Bias Variance Tradeoff
Week 5 - Evaluation Metrics
- Evaluation Metrics for Model Validation
Week 6 - Importing Data and Hands-On Imported Data
- EDA
- Correlation
- Feature Extraction
- Hyper Parameters
Week 7 - Univariate and Multivariate Linear Regression
- Univariate Linear Regression
- Multivariate Linear Regression
- Implemented in Python
Week 8 - Principal Component Analysis
- Eigen Values
- Eigen Vectors
- Singular Value Decomposition
- PCA
Week 9 - Logistic Regression and k-nearest Neighbor
- Explanation and Implementation of Logistic Regression and k-nearest Neighbor in Python
Week 10 - Decision Tree and Random Forest
- Explanation and Implementation in Python
- Decision Tree
- Random Forest
Week 11 - K-Mean and Hierarchical Clustering
- K-Mean
- Hierarchical Clustering
Week 12 - Neural Networks
- Logistic Regression with Neural Network Mindset
Admission details
Follow the steps given below to enroll in the Machine Learning for Engineers using Python Online Course
Step 1: Go to the official website by clicking on the URL given below -
https://skill-lync.com/electrical-engineering-courses/machine-learning-electrical-engineers-python
Step 2: Click on the "Enroll Now" option provided on the course page.
Step 3: Select a suitable payment package and unlock access by submitting your name, email id, and phone number.
How it helps
The Machine Learning for Engineers using Python Certification Benefits are given below:
- The course will provide a detailed overview of the applications of machine learning.
- At the end of the course, learners will be able to develop codes in the Python programming language and solve machine learning problems.
- The course aids learners in their journey to become proficient data analysts, data scientists, and data engineers.
FAQs
On which learning platform is the course accessible?
The Machine Learning for Engineers using Python Online Course can be accessed on the Skill-Lync learning platform.
Will the Machine Learning for Engineers using Python course provide certification for students?
Yes, learners will receive certification after completing the Machine Learning for Engineers using Python Certification Course.
Does the Machine Learning for Engineers using Python Course offer placement assistance?
No, the Machine Learning for Engineers using Python Course does not offer placement aid to students.
Can candidates get a demo of the course?
Yes, candidates can request a demo of the Machine Learning for Engineers using Python Course on the official website.
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