Machine learning project Ideas 2019
Posted: Jul 13, 2019
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 online course came to transform every 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 Idea, can execute by 4 to 14 people. The Perfect Level of Resources Spreads per Every Project.
When Main Project hits main milestones, especially when It delivers best result. You have to sure to give 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, your Internal Stake Holder understands 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.
- Where we have high chances, that some else design an ML recruiting Dashboard.
- 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 best machine Learning Projects that help you 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 main factors that are Marketing Content Quality, and many more.
For this, we need 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.
We all know that Uber is a Ride sharing applications, 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 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.
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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