Machine Learning Python Course Free
Python for Machine Learning
4.51
Beginner level
2.25 learning hrs
Learn Python for machine learning with NumPy arrays, array math, Pandas Series, DataFrames, Objects, and key functions. Join this free Python machine learning course to build data handling skills for real-world projects.
Instructor:
Mr. Bharani Akella
About this course
You will be able to use Pandas for data manipulation and analysis, including Series, DataFrames, and common functions such as mean, median, maximum, and minimum. By the end of the course, you will be able to handle data using NumPy and Pandas, perform basic data operations, and build a stronger foundation for machine learning, data analysis, and Python-based analytics projects.
Course outline
Intro to Numpy
In this section, you will be introduced to the NumPy library to add functions and methods to the program without actually writing the code.
Joining NumPy Arrays
There are three different modules to join Numpy arrays: vstack, hstack, and column stack. You will learn all these methods one by one in this module.
Numpy Intersection & Difference
We shall understand what sect difference and intersection are at the beginning of this section. We shall then understand how to extract the exact elements by excluding other elements from the array with demonstrated code snippets.
Numpy Array Mathematics
This section will explain and demonstrate working with various mathematical operations using arrays like sum, increment, mean and median.
Saving and Loading Numpy Array
We will understand how to load and store a NumPy array in this section. We shall learn to work with arrays, starting from creating a NumPy array to storing and loading it with demonstrated sample codes.
Intro to Pandas
We shall understand Panel Data for data manipulation and analysis in Python.
Pandas Series Object
We shall understand one-dimensional labeled arrays in this section. We will learn to import the Pandas library, create a series object using the inbuilt data type, and work with it with demonstrated code snippets.
Intro to Pandas Dataframe
After understanding the basics of Pandas Dataframe, you will learn to work with it through a sample demonstration in this section.
Pandas Functions
We shall discuss the Pandas functions like mean, median, maximum, and minimum in this section. We shall also understand working with different methods for each of these functions.
Get access to the complete curriculum once you enroll in the course
4.51
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Our course instructor
Mr. Bharani Akella
Data Scientist
Machine Learning Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What will I learn in this free machine learning Python course?
The Python for Machine Learning free course teaches NumPy and Pandas for machine learning tasks. You learn NumPy arrays, array joining and intersection, differences, array math, saving and loading arrays, Pandas Series, DataFrames, and functions such as mean, median, maximum, and minimum.
Who should take this free Python machine learning course?
The free course is useful for beginners who want to build data-handling skills before moving into machine learning projects. It is listed as a beginner-level course and focuses on practical Python libraries used in ML workflows.
How long does this free Python-based machine learning course take to complete?
The free ML with Python course includes 2.25 hours of learning. It gives you a short, focused way to build Python data handling skills used in machine learning.
What skills will I gain from this free machine learning Python training course?
This free ML with Python course helps you build the following skills:
NumPy Arrays
NumPy Operations
NumPy Math
Saving & Loading NumPy
Pandas Series
Pandas DataFrame
Pandas Functions (Mean, Median, Max, Min)
Data Manipulation
Supervised Learning
Unsupervised Learning
Machine Learning with Python
What topics are covered if I want to learn Python for machine learning free?
This course covers the following modules:
Intro to Numpy
Joining NumPy Arrays
Numpy Intersection & Difference
Numpy Array Mathematics
Saving and Loading Numpy Array
Intro to Pandas
Pandas Series Object
Intro to Pandas Dataframe
Pandas Functions
Does this Python machine learning fundamentals course free include practical examples?
The machine learning Python course includes worked examples and code for NumPy and Pandas. You learn by seeing how arrays, dataframes, and functions work in practical Python tasks.
How does this free Python machine learning course help with real ML projects?
The Learn Python for Machine Learning free course helps you clean, organize, transform, and analyze data using NumPy and Pandas. These are core steps before building machine learning models, because ML projects depend on well-prepared data.
Will this free online Python course on machine learning teach both NumPy and Pandas?
The Python for Machine Learning free course covers both libraries. NumPy is used for arrays, mathematical operations, and data I/O, while Pandas is used for Series, DataFrames, and common data analysis functions.
What are the prerequisites required to learn the Python for Machine Learning course?
Python for Machine Learning is a beginner's course, and you can begin the course with good knowledge of Python programming. However, if you are not familiar with it, we have a free Python fundamentals course that will clear your prerequisites.
Will I have lifetime access to this free course
Yes, once you enroll in the course, you will have lifetime access to this Great Learning Academy's free course. You can log in to the course and learn whenever you want to.
Is there any limit on how many times I can take this free course?
Once you enroll in the Free Python for Machine Learning course, you have lifetime access to it. So, you can log in to this course anytime and learn it at your pace for free online.
Can I sign up for multiple courses from Great Learning Academy at the same time?
Yes, you are free to enroll in as many courses as you want from Great Learning Academy. There is no stricture on the number of courses you can enroll in at once. The courses offered by Great Learning Academy are free, so we suggest you learn one by one to get the best out of them.
What are the steps to enroll in this Python for Machine Learning course?
Enrolling in Great Learning Academy's Machine Learning with Python is a simple and straightforward approach. You will have to sign-up with your E-Mail ID, enter your user details, and then you can start learning at your own pace.
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