The document discusses an internship focused on machine learning with Python, coordinated by smartknower, an AI-driven e-learning platform founded by P. Naveen. It outlines the importance and applications of machine learning, different types of learning methods, and emphasizes Python's advantages for machine learning projects. The document concludes by highlighting the growing significance of machine learning in various fields and its potential for future developments.

1. INTERNSHIP ON MACHINE
LEARNING WITH PYTHON
An internship done with co-ordination of
Smartknower
B.MEGHAN NAGA VENKAT

2. ABOUT Smartknower
• Mr. P.NAVEEN is the man who marked his territory in the online education sector. He started this venture
when he was only 20 years old with an ambitious bag filled with quality and determination. Starting at a
tender age, he started Smartknower back in 2020, an AI-driven e-Learning platform for students that aspire
to do something exceptional in their careers.
• With Smartknower as his most-successful startup, he quickly gained a lot of popularity and exposure. The
young entrepreneur soon realized that his startup is taking off when they trained 35,000+ students in just
the first year.
• Smartknower Edutech Private Limited is an Indian Non-Government Company. It's a private company and is
classified as’ company limited by shares’. Company's authorized capital stands at Rs 10.0 lakhs and has 10.0%
paid-up capital which is Rs 1.0 lakhs.Smartknower Edutech Private Limited is majorly in Community, personal
& Social Services business and currently, company operations are active.

3. CONTENTS
• Introduction to Machine Learning
• Importance of Machine Learning
• How is related to python
• Applications of Machine Learning
• Feautures of Machine Learning

4. • INTRODUCTION OF MACHINE LEARNING
• The term machine learning was first coined in the 1950s when Artificial
Intelligence pioneer Arthur Samuel built the first self-learning system for
playing checkers. He noticed that the more the system played, the better it
performed. Fueled by advances in statistics and computer science, as well as
better datasets and the growth of neural networks, machine learning has
truly taken off in recent years .Today, whether you realize it or not, machine
learning is everywhere ‒ automated translation, image recognition, voice
search technology, self-driving cars, and beyond .In this guide, we’ll explain
how machine learning works and how you can use it in your business. We’ll
also introduce you to machine learning tools and show you how to get
started with no-code machine learning.

5. What is Machine Learning
MACHINE LEARNING:--Machine learning is a subfield of artificial intelligence (AI). The goal of machine learning
generally is to understand the structure of data and fit that data into models that can be understood and utilized by people
Although machine learning is a field within computer science, it differs from traditional computational approaches. In
traditional computing, algorithms are sets of explicitly programmed instructions used by computers to calculate or
problem solve. Machine learning algorithms instead allow for computers to train on data inputs and use statistical analysis
in order to output values that fall within a specific range. Because of this, machine learning facilitates computers in
building models from sample data in order to automate decision-making processes based on data inputs.

6. Types of Machine Learning :
It has 3 types Machine Learnig!
1.Supervised (inductive) learning
Training data includes desired outputs
2.Unsupervised learning
Training data does not include desired outputs
3.Reinforcement learning
Rewards from sequence of actions

7. Importance of Machine Learning
Machine Learning is one of the most popular sub-fields of Artificial Intelligence. Machine learning concepts
are used almost everywhere, such as Healthcare, Finance, Infrastructure, Marketing, Self-driving cars,
recommendation systems, chatbots, social sites, gaming, cyber security, and many more Importance of
Machine Learning Currently, Machine Learning is under the development phase, and many new
technologies are continuously being added to Machine Learning. It helps us in many ways, such as analyzing
large chunks of data, data extractions, interpretations, etc. Hence, there are unlimited numbers of uses of
Machine Learning. In this topic, we will discuss various importance of Machine Learning with examples. So,
let's start with a quick introduction to Machine Learning.

8. How is Related to Python ?
ML also uses different languages and tools to be productive. One of the languages that best suits machine
learning is Python .You can trace back Python’s origin to the 1980s when Guido van Rossum started working on it.
However, not until the 2000s that Python became what it is today. And it is an open-source programming
language. Python is of the general-purpose, high-level, and outstanding code readability. Due to being object-
oriented, it allows for writing clear and concise code used in small and enterprise projects , it seems, that Python
has a lot of benefits among the other languages for machine learning. For example, Python’s easy to learn100%
compatible code is clear fast in development libraries are extensive object-oriented open-source and free high-
level language data structure is built-in That’s why machine learning using python would only be an enormous
advantage.

9. Applications of Machine Learning :
:

10. FEATURES OF MACHINE LEARNING
---Machine Learning is computing-intensive and generally
requires a large amount of training data
--It involves repetitive training to improve the learning and
decision making of algorithms.
--As more data gets added, Machine Learning training can be
automated for learning new data patterns and adapting its
algorithm

11. PROJECT :
i

15. PROJECT LINK
https://drive.google.com/file/d/1p0ZucYHVKOYwvRiRCPFn_3H4mTdhCTzD/view?usp=drivesdk

17. CONCLUSION
We have a simple overview of some techniques and algorithms in
machine learning .Further more ,there are more and more
techniques apply machine learning as a solution. In the
future,machine learning will play an important role in our daily
life