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Python for Machine Learning and Data Science

4.65
average rating

Ratings

Beginner

Level

4.5 Hrs

Learning hours

9.6K+
local_fire_department

Learners

Enrol free with email

Skills you’ll Learn

Introduction to NumPy
Pandas and Data Visualization in Python

About this Course

To use Python for Data Science and Machine learning, many distinct tools must be learned, and each of those tools are not necessarily simple to understand. However, this course will provide all the fundamentals we need regardless of the purpose for which we intend to utilize. This course basically deals with a broad understanding of Python libraries like NumPy, Pandas, and Matplotlib.

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Course Outline

Introduction to NumPy in Python
Slicing Array
Operations on a Array - Part 1
Operations on a Array - Part 2
Pandas in Python - Part 1
Pandas in Python - Part 2
Pandas Dataframe in Python
Manipulating Dataframe and Reading Data from different sources
Data Visualization using Matplotlib and Seaborn- Part 1
Data Visualization using Matplotlib and Seaborn- Part 2
Data Visualization using Matplotlib and Seaborn- Part 3
Data Visualization using Matplotlib and Seaborn- Part 4

Python for Machine Learning and Data Science

4.65
average rating

Ratings

4.5 Hrs

Learning hours

Beginner

Level

9.6K+
local_fire_department

Learners

Enrol free with email
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Trusted by 10 Million+ Learners globally

star

4.8
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4.89
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4.94
star

4.7

Learner reviews of the free Data Science course

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Reviewer Profile
Muhammad Yasir Imtiaz

5.0

★★★★ ★
Engaging Content, Practical Applications, and Insightful Discussions
I appreciate the course's engaging content, practical applications, and insightful discussions. It offers real-world examples and interactive activities that enhance understanding. The well-structured lessons and supportive community make learning enjoyable and effective.
Reviewer Profile
Sunaina Kanade

5.0

★★★★ ★
Engaging and Hands-On Experience with Practical Projects
The Python course provided a comprehensive learning experience that went beyond just theory. The hands-on projects were particularly valuable, allowing me to apply what I learned in real-world scenarios. The interactive nature of the lessons kept me engaged and motivated, and I appreciated the clarity of the explanations provided for complex topics.
Reviewer Profile
Mohammed abdullah Hussain

5.0

★★★★ ★
It Was Really a Good Experience, I Really Enjoyed It
The course was well-structured, starting from the basics of Python and gradually progressing to advanced machine learning concepts. The balance between theory and practical implementation was appropriate, making complex topics easier to understand.
Reviewer Profile
Shiva Agrahari

5.0

★★★★ ★
Convenient and Flexible Learning Experience
While the course was entirely online and relied solely on lecture videos, I found the convenience of being able to learn whenever and wherever I wanted to be a significant advantage. The structured content made it easy to follow along, and the ability to revisit complex topics through the video archives helped deepen my understanding. However, I did miss some interactive elements, as live discussions or Q&A sessions would have enhanced the experience further. Overall, it was a solid course that delivered substantial knowledge through well-prepared lectures.

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