@jayoza
Artificial Intelligence | Kaggle Expert | Data Scientist | Machine Learning | K.J. Somaiya Institute of Technology | IIT Madras |
"Data is a problem and a solution"
Hi, I am Jay Oza, a Final-year Computer Engineering student and a Data Scientist who has a keen interest in data and infusing it with programming to make a desirable solution for everyone!!
As we know "Data is the new Oil". My main aim in pursuing Computer Engineering is inquisitiveness in Artificial Intelligence, Machine Learning and Blockchain.
As a tech member of Datazen, we have built multiple projects in the domains of Machine Learning and Deep Learning. We have also hosted multiple sessions where students are being upskilled in the Data Science domain. We have hosted multiple hackathons for students to assist and comfort them with the concept of hackathons.
Nothing here yet.
Introduction Data collection and preparation is a critical step in the machine learning process. The quality and quantity of data used to train a model can greatly affect its performance. In this article, we will discuss the various methods of data c...

What is Feature Engineering? Feature engineering is the process of using domain knowledge of the data to create features that make machine learning algorithms work better. It is a crucial step in the machine learning pipeline, as the quality of the f...

What is Machine Learning Pipeline? The machine learning pipeline refers to the series of steps involved in building and deploying a machine learning model. These steps are essential for ensuring that the model is effective and can be used in real-wor...

Introduction Overfitting and underfitting are two common problems that can occur when training a machine learning model. Understanding these concepts is crucial for building accurate and reliable models that generalize well to new, unseen data. In th...
