Day by Day Artificial Intelligence is Growing Rapidly,
Mastering Machine Learning is Important for a techie. This is because ML and AI
is Complement to Each other.
We have many textbooks and study materials, to
get knowledge of Machine Learning. You cannot master it until or unless if you practice
with a Real-time Project.
How to Choose your First Machine Learning
Project.
Machine Learning course came to transform every The industry just like telecommunications, interrupted the world. It is going to
create a $15 trillion GDP by 2030. The Rise of ML shows an Opportunity for
Every techie to differentiate and Object business. However, Implementing a
Total ML Strategy is challenging.
Start an ML Project for Success
Nobody knows machine learning is Steroids of
Automation. They need a Rich Source of ML Projects that lie in automating works.
That the humans are doing today. By using a technology, known as Supervised Learning.
Here you find ML is best for automating tasks rather than Jobs.
Know Your Leader
Selecting a person who works functionally, and
handles both your Industry Domain and AI Experts. This exactly comes true when
your project gets succeeds.
Build a Team
From my experience, I came to know a small The idea can execute by 4 to 14 people. The Perfect Level of Resources Spreads per
Every Project.
Communication
When the Main Project hits the main milestones,
especially when It delivers the best result. You have to sure to give the team an Internal
Dashboard. That Ranges from External PR and awards.
If you want to tell about your project, in
your company. You have to make sure that first, your CEO recognizes this
project. If you have a machine learning team working, with a Sales team. Sales
team Receive plenty of Credits and rewards for their Success. By this, sales
teams completely know about Machine Learning.
Is your Project Creates Value in IT Field
By selecting a company-specific project, you're Internal
Stake Holder understands the value of your Customers. For Instance, if you run a Medical
Device company. Designing a Machine-recruiting project, set screen resumes,
which is a bad thing for two main reasons.
1 Where we have high chances, that some else
design an ML recruiting Dashboard.
2 This is less to convince, remaining of your
company, where ML is worth investing. Where your main project is on ML Medicine
Devices.
Therefore, I will show you the best machine
Learning Projects that help you the most.
Movie Ticketing Project
Therefore, there is a Rapid increase in some
of movie platforms like Netflix, Amazon Prime for watching according to our
convenience. Here we can see some of the main
factors that are Marketing Content Quality, and many more.
For this, we need the best ticket pricing System,
that guide movie Producers. Ticket price increase according to reviews, the
system calculates the pricing that depends on the viewer's Interest, signals,
and reviews.
Uber Project
We all know that Uber is a Ridesharing
application, responds to customer issues very faster. It updates and Improves,
the customer support representatives by designing a Human in loop sample
Architecture. It is known as User Ticket Assistant.
Road Accident Analysis Project
Today Every Automobile is Equipped with many
Safety Measures to avoid accidents. Compare to technology, accidents are more
in number. Therefore, this Project includes using Prediction models, which
divide many accidents pictures and offers the best solution to Automobiles.
Health Checker project
As every MBBS students know Machine Learning
and Artificial Intelligence used for designing health Checker software. Here in
this project, they design Machine Learning Online Course Samples for Symptoms and Diseases.
This Dashboard asks users, from what type of users they are suffering from. In
the end, it predicts, the options for having certain Disease.
Tweet Project
Recognizing Twitter Tweets
In social media, fake news and Information
became a worldwide famine, in the Digital Age. Where offensive Posts is a big
issue. It is even worse when they are not posted in a Proper way.
Therefore, there is a Proper Application for NLP
that is Natural Language Processing and sentiment analysis. This accepts many thousands
of text documents, to be scanned for certain filters in seconds. For Instance,
twitter process for unwanted posts and separate tweets and many more.
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