| START | DURATION | DAYS | TIME | |
|---|---|---|---|---|
| Flexible | Minimum 3 months | 90 | Flexible |
| Framework: | Apache SINGA, TensorFlow, Scikit-Learn, MLlib Spark, Torch |
| Project Delivery: | Online / Offline |
| Certification Authority: | AIT Issued Project Completion Certificate |
| Categories: | Live Project, Academic Project, IEEE & Non-IEEE Projects |
| Technologies Used: | Cloud Computing, Data Mining, Networking |
| Project Guidance: | Abstract, Source Code, Project Report, Presentation Training/Classes, Course* (Add-on), Demo Viva |
Live Projects covering a variety of project topics are offered by ATEES Industrial Training Academic Projects in both online and offline training sessions with flexible time schedules to suit the convenience of candidates. Candidates who join this session will have the opportunity to participate in a practical work environment with the help of our experienced professional instructors who manage client projects and AIT Issued Project Completion Certificate will be awarded to those completing the project. Any candidate intending to submit live or mini-project for Individual or Combined project works is also eligible for this program.
A key element of artificial intelligence is machine learning and based on that will add up in Machine Learning projects, which describe how computers can examine data, spot patterns, and make judgments with little to no human involvement. Deep Learning is a branch of machine learning that uses networks to learn from disorganised or unlabeled datasets. It is sometimes referred to as neural learning or deep neural learning.
The learners get the opportunity to skillfully finish every section of a particular course by participating in live projects, which are ongoing work finished by a company for its clients. In contrast to students who only receive generic academic project training, students who complete real-world projects have an in-depth awareness of solid project planning.
For satisfactory completion of the training, a candidate must finish the required tasks. They are crucial in assisting students in gaining a real-world understanding of the things they are studying. In order to effectively put into practice the task at hand, one must be aware of this.
A renowned worldwide group for advancing technology is Multinational Electrical and Electronics Engineers. The fundamental ideas for IEEE projects were taken from works published in IEEE that can be found in the IEEE library.
The habit of accessing and storing data or information on distant servers linked to the internet is known as cloud computing. Anyone has access to this knowledge or information as a result. Because cloud computing is stable and flexible, developers employ it.
It is a subject requiring information that is currently developing quickly and is still fairly fresh, so there is a lot of space for new findings that might result in efficient data mining methods. The process of collecting meaningful data or information from several massive data warehouses is called data mining, sometimes referred to as data discovery. For the delivery of crucial facts and numbers, data mining is crucial in a variety of businesses, including those that deal with medicine, telecommunications, transportation, and monetary services.
Many gadgets linked over the internet can share information, data, and resources using just one protocol. LAN, WAN, and HAN are the three network kinds that are currently utilised most commonly. Due to their localization to a restricted region than WAN interactions, local area networks are less prevalent.
| No. | Project Topics |
|---|---|
| 1 | Predicting Interest Levels of Rental Listings |
| 2 | Driver Demand Prediction |
| 3 | Customer Churn Prediction Analysis Using Ensemble Techniques in Machine Learning |
Arun K.S - Placed in WIPRO
Jaya Krishnan P.N - Placed in WIPRO
Muhammed Shebin A - Placed in CTS
Affiliated with Jain University
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