Ayush completed a summer internship in AI and machine learning through Teachnook and Aican Automate. He learned Python programming and exploratory data analysis techniques. For his minor project, he built a countdown timer in Python, and for his major project he performed exploratory data analysis on a dataset. He gained valuable practical experience in machine learning domains and technologies like Anaconda and Jupyter Notebook. The internship helped him develop new skills and network for his career goals in AI and machine learning.

1. Name – Ayush
Course – B. Tech CSE (5th Sem)
Enrollment no – A20405220183

2. This Presentation includes:
Introduction
Training Opted and Exploration
My Experience and Projects
Technologies Used
Learning Outcomes

3. Introduction

4. Introduction Of Myself:
 My name is Ayush, student of B. Tech CSE branch
from Amity University, Jaipur
 AI and Machine Learning are my core field of interest
in which I want to pursue my career and have
completed my training internship.
 The internship has given me the wide range of
practical experience and knowledge about how the
things go in different ways on book and in life.
 I thank my teacher in charge who gave me the
opportunity of pursuing this Summer internship.
 Further I would like to thank “Teachnook” and
“Aican Automate” who gave me the opportunity to
gain such a valuable experience.

5. Introduction of The Firm:
● TEACHNOOK
Teachnook is a comprehensive e-learning
programme with a carefully curated curriculum
which help students develop skills right from
scratch and in advancing their career through
guidance from industry experts who are
passionate about that field and discover skills
that are in demand. Their aim is to provide
students with an ace up their sleeves in today’s
cut-throat world with flexible ,virtual courses
designed to explore various domains ,and
fostering personal as well as professional skills
through engaging in different group activities.

6. Training Opted

7. New Explorations
Python
A new programming language
for me.
EDA in ML
Exploratory Data
Analysis (EDA) is an
approach to analyze the
data using visual
techniques

8. MY
EXPERIENCE

9. My Experience:
● My two months of training internship helped me
to gain new skills in the form of python
programming language and ML Domain—
experience that I did not previously have.
● I also gained a better understanding of the ML
Domain as a whole, made a new network, and
gained a few new references for the future.

10. Projects worked on:
MINOR PROJECT
My minor project was to build a countdown timer using
Python language including features like Reset/Stop and
Pause/Resume
MAJOR PROJECT
My major project was to perform EDA (Exploratory Data
Analysis) on a particular dataset of my choice.

11. Technologies Used:
Anaconda
01
Aims to simplify package
management and deployment.
The distribution includes data-
science packages suitable for
Windows, Linux, and macOS.
Jupyter Notebook
02
Project Jupyter is a project
with goals to develop open-
source software, open
standards, and services for
interactive computing across
multiple programming
languages. It was spun off
from IPython in 2014 by
Fernando Pérez and Brian
Granger.
Teachable Machines
03
Teachable Machine is an
easy, but powerful tool to
create machine learning
models. It allows for easy
data capture to create
training data sets and uses
state of the art algorithms to
train machine learning
models right in your browser

12. Learning Outcomes:
From learning through online
lectures to implementing the
knowledge
01
Asking for and receiving
feedback is important
04
Essential to be enthusiastic and
open to learning new skills
02
Building a network is important
05
Learned to communicate
03

13. Certificates Awarded
Training Certificate
(Teachnook)
Internship Certificate
(Aican Automate)

14. THANK YOU!