Machine Learning Training with Current Year Project
Machine Learning
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed Machine learning focuses on the development of computer programs that can access data
and use it learn for themselves.
The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.
Machine learning enables analysis of massive quantities of data. While it generally delivers faster, more accurate results in order to identify profitable opportunities or dangerous risks, it may also require additional time and resources to train it properly. Combining machine learning with AI and cognitive technologies can make it even more effective in processing large volumes of information.
Machine Learning Current Year Project
| Sr. No | Project Name | Journal |
|---|---|---|
| 1 | Detection of Fake Twitter Accounts with Machine Learning Algorithms | IEEE |
| 2 | Teaching Key Machine Learning Principles Using Anti-learning Datasets | IEEE |
| 3 | Machine Learning for Efficient Assessment and Prediction of Human Performance in Collaborative Learning Environments | IEEE |
| 4 | Predictive churn analysis with machine learning methods | IEEE |
| 5 | Performance Analysis of Machine Learning Algorithms for Gender Classification | IEEE |
| 6 | Interpretable Machine Learning in Healthcare | IEEE |
| 7 | Network Intrusion Detection using Supervised Machine Learning Technique with Feature Selection | IEEE |
| 8 | Application of machine learning in recommendation systems | IEEE |
| 9 | Breast cancer diagnosis using adaptive voting ensemble machine learning algorithm | IEEE |
Artificial Intelligence Current Year Project
| Sr. No | Project Name | Journal |
|---|---|---|
| 1 | Identifying Regional Trends in Avatar Customization | IEEE |
| 2 | DeepClue: Visual Interpretation of Text-based Deep Stock Prediction | IEEE |
| 3 | PCCA: Position Confidentiality Conserving Algorithm for Content-Protection in e-Governance Services and Applications | IEEE |
| 4 | Improving Deep Learning Performance Using Random Forest HTM Cortical Learning Algorithm | IEEE |
| 5 | Memetic algorithm with Local search chaining for large scale continuous optimization problems | IEEE |
| 6 | Comparison of human and AI bots in StarCraft with replay data mining | IEEE |
| 7 | LGOAP: Adaptive layered planning for real-time videogames | IEEE |
Data Science and Block Chain Current Year Project
| Sr. No | Project Name | Journal |
|---|---|---|
| 1 | Hybrid Block Diagonalization for Massive Multiuser MIMO Systems | IEEE |
| 2 | Authentication with Block-Chain Algorithm and Text Encryption Protocol in Calculation of Social Network | IEEE |
| 3 | (Block) Chain Reaction: A Blockchain Revolution Sweeps into Health Care, Offering the Possibility for a Much-Needed Data Solution | IEEE |
| 4 | Processes Meet Big Data: Connecting Data Science with Process Science | IEEE |
