The project is based on the Idea of Addressing real-life problems in the Agricultural sector and Healthcare sector. It can be also considered as the Minimal Viable Product.

Participating in various competitions and Hackathons related to Data Science

Data manipulation is the process of changing data to make it easier to read or be more organized. For example, a log of data could be organized in alphabetical order, making individual entries easier to locate.

Getting started with TensorFlow 2.0

Customer segmentation is the practice of dividing a company's customers into groups that reflect similarities among customers in each group.

Pandas is a great library for data manipulation. Since it also provides some of the stunning features for the Data Visualisation.

Logistic regression is a statistical model that in its basic form uses a logistic function to model a binary dependent variable, although many more complex extensions exist. In regression analysis, logistic regression (or logit regression) is estimating the parameters of a logistic model (a form of binary regression).

The challenge is to recognize fraudulent credit card transactions so that the customers of credit card companies are not charged for items that they did not purchase. Main challenges involved in credit card fraud detection are: Enormous Data is processed every day and the model build must be fast enough to respond to the scam in time. Imbalanced…

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Have an overlook of my current state of analysis from my portfolio introduction.

Tasks and assignments during the data science intern at TSF

C++ programming language from basics

Development of a web app that predicts the automobile price.

DSA Self paced GeeksforGeeks

Train unsupervised machine learning algorithms to perform customer market segmentation. Market segmentation is crucial for marketers since it enables them to launch targeted ad marketing campaigns that are tailored to customer's specific needs.