Machine Learning Certification course for Beginners
BeginnerLevel
6 Hrs Duration
About this Course
- Learn Python, machine learning basics, model building, and feature engineering to improve predictive performance.
- Master Python libraries such as NumPy and Pandas for data analysis, data manipulation, and exploratory data analysis.
- Work on projects like Customer Churn Prediction and NYC Taxi Trip Duration to gain hands-on experience
Learning Outcomes
Data Analysis Techniques
Use NumPy and Pandas to analyze and manipulate datasets effectively.
Statistics & EDA
Learn key statistical concepts and explore data visually.
Building ML Models
Implement Linear Regression, Logistic Regression, and Decision Trees.
Who Should Enroll
- Professionals aiming to enhance data science skills and apply machine learning techniques effectively at work.
- Students eager to learn machine learning fundamentals and gain hands-on experience with predictive modeling.
- Anyone interested in understanding machine learning algorithms and their applications in real-world scenarios.
Course Curriculum
Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.
1. Understanding the Basics of Machine Learning
2. Overview of Supervised and Unsupervised Learning
3. Real-World Applications of Machine Learning
1. Getting Started with Python
2. Exploring Python Libraries for Data Science
3. Working with DataFrames in Pandas
1. Introduction to Python
2. Introduction to Jupyter Notebook
1. Getting Started with Python
2. Exploring Python Libraries for Data Science
3. Working with DataFrames in Pandas
1. Introduction to Variable
1. Introduction to Operators
1. Introduction to Conditional Statements
1. Introduction to Looping Constructs
1. Introduction to Data Structures
2. List and Tuple
3. Implementing List in Pyhton
4. List- Project in Python
5. Implementing Tuple in Python
6. Introduction to Sets
7. Implementing Sets in Python
8. Introduction to Dictionary
9. Implementing Dictionary in Python
1. Introduction to Functions
2. Recursion in Python
Get this Course Now
With this course you’ll get
- 6 Hours
Duration
- Kunal Jain
Instructor
- Beginner
Level
Certificate of completion
Earn a professional certificate upon course completion
- Globally recognized certificate
- Verifiable online credential
- Enhances professional credibility
Frequently Asked Questions
Looking for answers to other questions?
This course is designed for individuals looking to learn Machine Learning. It covers Python for Data Science, statistics, EDA, ML algorithms, and case studies.
You will receive information about all necessary installations as part of the cours
This course is free of cost!
Yes, the course is self-paced, allowing learners to progress at their convenience. While the total duration may vary, the course is designed to be completed in approximately 2 hours.
It is highly recommended to follow the course in its designed order for maximum learning.
Yes, you will receive a certificate of completion after successfully finishing the course and assessments.
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