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Top Data Science Project Ideas

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There are plenty of exciting and practical data science project ideas you can work on. In this presentation, we'll list some of the top ones. For more information, please visit: – PowerPoint PPT presentation

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Title: Top Data Science Project Ideas


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TOP DATA SCIENCE PROJECT IDEAS
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  • CHATBOTS

Chatbotscan effortlessly manage customer
inquiries and messages in real-time , without any
interruption. Chatbots can ease the human beings
have to do by answering customer queries. This is
accomplished by using methods that are backed by
AI, machine learning and even data science. To
train the chatbot you can employ neural networks
that are recurrent using the intentions JSON
dataset. You can also control the application
with Python.
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
3
2. FAKE NEWS DETECTION
Fake news needs no introduction. With the rise of
social media and the internet, fake news is
increasing to an enormous extent. The propagation
of fake news has a negative impact on our lives
of all. We often see fake news being circulated
by unauthorised sources, creating an atmosphere
of anxiety. Through data science-related projects
can determine an authenticity issue with any
piece of information, regardless of whether it's
fake or genuine. Utilizing Python will allow you
to distinguish authentic news from fake ones. The
most popular Python libraries that can be used in
this task are pandas NumPy and Sci-kit-learn.
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
4
3. DRIVER DROWSINESS DETECTION
A number of road accidents occur because of
driver's sleepiness. According to a study, 38.7
of road accidents are caused by sleepiness and
fatigue of drivers. This is one of the reasons
for the importance of the driver Drowsiness
Detection initiative. This project written in
Python is built on an Deep Learning model and
will detect drowsiness and alert drivers to alert
them by sounding alarms. A webcam is needed for
this project since the model will determine
whether drivers eyes appear to be shut or open.
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
5
4. IMAGE CAPTION GENERATOR
The process of writing a caption for an image and
describing it's a straightforward task for us
humans, however the image is a collection of
numbers that represent the color of each pixel
for computers. It's a difficult job for computer
systems to identify the image and to then write
the description in Natural languages like
English. The purpose of this research is to use
Deep Learning techniques to create an image
caption generator by using technology called
Convolutional Neural Network (CNN) together with
the RNN.
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
6
5. ROAD LANE LINE DETECTION
Live Lane Line detection system built-in Python
is among the most simple Data Science project
ideas. This project will see a driver will be
directed by the line drawn along the route by the
lane detection. This idea can be put to use in
designing driverless vehicles.
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
7
6. SENTIMENT ANALYSIS PROJECT
Every data-driven business uses the model of
sentiment analysis to evaluate its customers
behavior towards their products. This project is
ideal for you if you're interested by machine
learning and would like to improve your knowledge
in it. The R project is specifically focused on
the classification. Sentiment analysis refers to
the method that evaluates and classifies opinions
that are expressed in feedback, specifically to
determine whether the behavior of a client is
negative, positive, or neutral toward a specific
product.
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
8
7. FOREST FIRE PREDICTION
Data science has a variety of capabilities and
constructing an accurate forest fire forecast
could be one of the uses made by using those
capabilities. Wildfire or forest fire is a
natural phenomenon that cannot be controlled and
can cause a lot of destruction. To control and
even take on the unpredictable nature of
wildfires it is possible to use K-means
clustering to identify significant fire hotspots
and their severity. This can be helpful in
effectively providing resources. It is also
possible to utilize the meteorological
information to search for specific seasons of
wildfires, which will improve the accuracy of
your model.
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
9
Thank you!
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