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Lead Academy PTE
License No. 283870
Instructor
Sara Karim
Course Level
Beginner
Duration
1 hrs 24 min
Rating
4.13
Students
129
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Machine Learning with Python
Welcome to the Machine Learning Course, brought to you by LEAD Academy!
Are you ready to explore the exciting world of artificial intelligence (AI) and machine learning? This course will introduce you to the fundamental concepts and techniques that drive modern data analysis and prediction.
Why Is This Course Important?
In today's digital age, understanding machine learning is essential for anyone interested in AI, technology and data. This course empowers learners of all backgrounds to grasp the basics of machine learning and apply them to real-world scenarios. Whether you're new to the field or looking to expand your knowledge, this course is for you.
Who Is This Course For?
This course is designed for:
- Beginners curious about machine learning and AI
- Tech enthusiasts eager to understand the foundations of data analysis
- Professionals seeking to enhance their skills in predictive modelling
- Students interested in exploring the possibilities of AI-driven technology
- Anyone keen on understanding how data shapes our digital world
Why Should You Enroll?
By enrolling in this course, you will:
Gain a solid understanding of machine learning principles and algorithms.
Discover why Python is the preferred programming language for machine learning.
What Will You Learn?
Throughout this course, you'll:
- Explore the basics of machine learning with practical examples.
- Understand the importance of Python for machine learning applications.
- Learn about essential techniques like regression, classification, and clustering.
- Dive into real-world datasets to build predictive models and make informed decisions.
- Gain hands-on experience with Python libraries like Scikit-Learn and how to interpret data using tools like the Confusion Matrix and Cross-Validation.
- Explore popular regression techniques like Ridge and Lasso Regression.
- Master classification algorithms such as Naive Bayes and Decision Trees.
- Dive into the world of clustering with K-means Clustering.
- Understand the power of ensemble methods like Random Forest.
- Scikit-learn for machine learning.
Join us on this exciting journey into the realm of machine learning and AI. Enroll today and unlock the potential of data-driven insights in the digital age. Your journey to becoming a machine learning expert starts here!
Complete This Course and Get Your certificate!
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What Will I Learn?
- ML Basics
- Python ML
- Data Analysis
- Model Building
- Algorithm Mastery
- Hands-on Skills
- Python Libraries
- Predictive Modeling
Course content
- 1 Chapters
- 16 Lessons
- 1 hrs 24 min
Course Overview
Free Preview
00:00:56
Introduction to Machine Learning
00:03:03
The Best Programming Language for Machine Learning
00:02:12
Confusion Matrix
00:05:55
Cross Validation
00:05:13
Ridge vs Lasso Regression
00:05:52
Linear Regression
00:04:32
K-means Clustering
00:05:02
Implementation of K-means Clustering
00:06:23
Naive Bayes Algorithm
00:05:36
Practical Implementation of Naive Bayes
00:08:58
Decision and Classification Tree
00:08:41
IRIS Dataset Prediction
00:07:15
Random Forest Algorithm
00:05:55
Digit Classification
00:04:34
Principal Component Analysis (PCA)
00:04:29
Final Quiz
Pre Requisites
- Basic Python Knowledge
- Keep video resolution at 1080p
- Basic Computer Skill
Meet Your Instructor
Sara Karim
4.13
Instructor Rating
8 Reviews
129 Students
1 Course
Review
4.13
Anonymous user
Md Abu Bakar Siddique
Faria Akter
Md Al Amin
Anonymous user
Mohammad Nazmul Hoq
Rittique Basak
This course is great for getting general
Reply from Instructor
Thank you for your feedback.
Stay
Fahmida Akter
I'm a Tech Enthusiast person for that I
Reply from Instructor
Thank you for taking the time to
I understand that you
In Class 8 (K-means),
BDT 500 ৳1000
Course Duration
1 hrs 24 min
Course Level
Beginner
Students Enrolled
129
Language
English, Bangla
This course includes
20 Quizzes
1 Free Lessons
36 Months Access
Free Exercise Files & Downloadable Resources
Shareable Certificate of Completion
Access on Mobile, Tablet and PC
Facebook Community Group Support
100% online course
Student Helpline
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