Machine learning Overview
The Machine Learning course from Edufy trains you to use Python for drawing predictions from data. It has an in-depth projection of concepts and topics in machine learning that includes working with real-time data, development of algorithms through use of supervised and unsupervised learning, regression, classification and time series modeling.
Machine learning Key Features
Gain expertise with 25+ hands-on exercises
Applied learning for 58hours
Integrated Labs along with 4 real-life industry projects
Industry experts providing dedicated mentoring sessions- 12 Weekend classes (Duration of each class is 3hours)
18 Weekday Classes (Duration of each class is 2hours)
Instructor led online training for 36hours
LMS accessibility for Life-time- Practical assignments with real-life case studies
All user community forum
Skills Covered
- Supervised and unsupervised learning
- Kernel SVM
- Supervised and unsupervised learning
- Boosting and Bagging techniques
- Time series modeling
- Naive Bayes
- Decision tree
- Linear and logistic regression
- KMeans clustering
- Random forest classifiers
- Deep Learning fundamentals
- Hierarchical Clustering
- K-Means Clustering
- Python Libraries
- Machine Learning
- Regression
Benefits
- As per Glassdoor, The average annual salary of a Data Scientist is $113k, and that of a Machine Learning Engineer is $114k
- By the end of 2024 the machine learning market for engineers is expected to grow by 11%
- Designation
- Annual Salary
- Hiring Companies
Training Options
Course Content
-
Machine learning
-
Lesson 01 Course Introduction
-
-
Course Introduction
-
Accessing Practice Lab
-
-
-
Lesson 02 Introduction to AI and Machine Learning
-
-
2.1 Learning Objectives
-
2.2 Emergence of Artificial Intelligence
-
2.3 Artificial Intelligence in Practice
-
2.4 Sci-Fi Movies with the Concept of AI
-
2.5 Recommender Systems
-
2.6 Relationship between Artificial Intelligence, Machine Learning, and Data Science: Part A
-
2.7 Relationship between Artificial Intelligence, Machine Learning, and Data Science: Part B
-
2.8 Definition and Features of Machine Learning
-
2.9 Machine Learning Approaches
-
2.10 Machine Learning Techniques
-
2.11 Applications of Machine Learning: Part A
-
2.12 Applications of Machine Learning: Part B
-
2.13 Key Takeaways
-
Knowledge Check
-
-
-
Chapter 1
-
Introduction to Data Science
-
-
Chapter 2
-
Data Extraction, Wrangling & Visualization
-
-
Chapter 3
-
Introduction to Machine Learning with Python
-
-
Chapter 4
-
Supervised Learning-I
-
-
Chapter 5
-
Dimensionality Reduction
-
-
Chapter 6
-
Supervised Learning-II
-
-
Chapter 7
-
Unsupervised Learning
-
-
Chapter 8
-
Association Rules Mining and Recommendation Systems
-
-
Chapter 9
-
Reinforcement Learning
-
-
Chapter 10
-
Time Series Analysis
-
-
Chapter 11
-
Model Selection and Boosting
-
-
Chapter 12
-
In-class Project
-
-
Machine learning FAQs
-
Q1: How to become a Machine Learning Engineer?
The student will earn Edufy’s Machine Learning certification that will attest to new skills and on-the-job expertise. It aids in getting familiar with regression, classification, time series modeling, and clustering. It is a complete overview of Machine Learning methodologies, for your excelling performance in your next role as a Machine Learning Engineer
-
Q2:What is the validity of this certificate?
The certificate is of lifelong validity.
-
Q1: Are there any practice exams provided in this course?
Yes. There are end-chapter practice sessions.
-
Q2: How can I unlock my certificate?
Need to attend one complete batch of Machine learning training and submit one completed project.
Or
85% of Course completion and one completed project certification for online self-learners.
