Learn Machine Learning with Python
Sara Karim
Instructor
Sara Karim
Course Level
Beginner
Duration
Duration 1 hrs 24 min
Rating
Rating 3.83
Students
Students 95

Learn Machine Learning with Python

About Course

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 SLearn 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.
  • Cikit-learn for machine learning.

Join us on this exciting journey into the realm of machine learning and AI. Enrol today and unlock the potential of data-driven insights in the digital age. Your journey to becoming a machine learning expert starts here!
 

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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 Total Length

Course Overview

Free Preview 00:00:56

Introduction to Machine Learning

Free Preview 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
Quiz

Final Quiz

Pre Requisites
  • Basic Python Knowledge
  • Keep video resolution at 1080p
  • Basic Computer Skill
Meet Your Instructor

Sara Karim

3.83 Instructor Rating
6 Reviews
95 Students
1 Course

Review
3.83
Faria Akter

Faria Akter

3 weeks ago

Md Al Amin

Md Al Amin

1 month ago

1 month ago

Mohammad Nazmul Hoq

Mohammad Nazmul Hoq

1 month ago

Rittique Basak

Rittique Basak

4 months ago

This course is great for getting general idea for ML. I wish there were more projects or code examples from the very beginning of course to see the implementation and get more clear idea. Overall it was a decent course. I need the slides and other resoruces

Reply from Instructor

Thank you for your feedback. Stay connected.

Fahmida Akter

Fahmida Akter

4 months ago

I'm a Tech Enthusiast person for that I am pursuing ML with Python course with Instructor Sara Karim Mam. Video Quality of the Course was overall good but the timing was short. Instructor presentation and pronunciation overall okay. The main Problem is can't understand PyTorch's implementation of ML such as class 8 Implementation of K-means Clustering, class 11 IRIS Dataset Prediction and class: 10 Practical Implementation of Naive Bayes using Python. Otherwise, The course was Good for beginners who are interested in learning ML. Thank you.

BDT 500 ৳1000

Course Duration

1 hrs 24 min Total Length

Course Level

Beginner

Students Enrolled

95

Language

English, Bangla

Student Helpline

01894988285

Total Price

BDT 500 ৳1000

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