PPT give us an insights of what our project wants to convey to the world/external examiners. Here's a PPT for Startups in India especially useful for TE/BE Engineering or BBA students. PS: Try to select a topic(for projects) that already has: 1) Raw code (git hub will always help) 2) Legit input data(regarding your code language) 3) Data set (kaggle is best source). 4) If possible a PPT regarding it, like this one :P

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2. Mini Project On Startup
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3. WHAT WHY WHERE
Our project is
about which
category of
startup, is
favorable in a
particular city
and the funding
associated with
it.
Because 94% of
the startups fail
in first 5 years,
due to incorrect
funding amount,
which later on is
irrecoverable by
these young
entrepreneurs.
We stared from a
dataset, focusing
on Indian startups.
Then we analyzed
the statics
accordingly and
predicted the city
for a particular type
of startup.
CONTENT
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4. Predictive analysis of data using supervised
machine learning based on city, category,
funding amount and funding type.
Prediction algorithm using linear regression.
PROBLEM STATEMENT
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5. 0
1
2
3
4
5
6
7
2014 2017 2020
Government
Private Jobs
Startups
NEED
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Source :
www.cnbc.com/indian-
startup/growthrate
Years
Availablejobs,no.in
thousand

6. • SOFTWARE
1. PyQt 5
2. Python
• IDE
1. Spyder
• PACKAGE
1. Pandas
2. Matplotlib
• HARDWARE
1. Internet connection
2. Laptop
REQURIMENTS
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7. RESULTS
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8. • Linear Regression Algorithm
• Linear regression is a statistical model that
examines the linear relationship between
simple linear regression variables
• It basically means when one independent
variable increases or decreases, the
dependent variable increases or decreases as
well.
METHODOLOGY
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9. REALITY CHECK
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13. 1. www.pythonspot.com/graphinqt
2. www.tutorialpoint.com/linearcodeforpython/gr
aph-plot
3. www.stackoverflow.com/dynamicoutput-inqt
4. www.pyqtgraph.org/basicinpython-
graphbuilding
5. https://sourceforge.net/frontend-
forpyqt/basictoadvance
6. www.kagle.com/datasetof/indianstartup-
guideandfund
REFERENCE
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14. • Successful implementation of the use Machine
Learning to predict start-up growth in a particular
year by using linear regression in Machine Learning.
• Analysis of start-ups on the basis of ratings, profit
percentage, cities, year of start-up and their
comparison.
CONCLUSION
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