mahaveer-rulaniya
There are 15 repositories under mahaveer-rulaniya topic.
mahaveer-rulaniya/healthify-agriTech
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.
mahaveer-rulaniya/competitions-and-hackathons
Participating in various competitions and Hackathons related to Data Science
mahaveer-rulaniya/7dc
C++ programming language from basics
mahaveer-rulaniya/Automobile-price-prediction-project
Development of a web app that predicts the automobile price.
mahaveer-rulaniya/customer-analytics
Customer segmentation is the practice of dividing a company's customers into groups that reflect similarities among customers in each group.
mahaveer-rulaniya/Credit_Card_fraud_detection
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 Data i.e most of the transactions (99.8%) are not fraudulent which makes it really hard for detecting the fraudulent ones Data availability as the data is mostly private. Misclassified Data can be another major issue, as not every fraudulent transaction is caught and reported. Adaptive techniques used against the model by the scammers. How to tackle these challenges? The model used must be simple and fast enough to detect the anomaly and classify it as a fraudulent transaction as quickly as possible. Imbalance can be dealt with by properly using some methods which we will talk about in the next paragraph For protecting the privacy of the user the dimensionality of the data can be reduced. A more trustworthy source must be taken which double-check the data, at least for training the model. We can make the model simple and interpretable so that when the scammer adapts to it with just some tweaks we can have a new model up and running to deploy.
mahaveer-rulaniya/Data-manipulation
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.
mahaveer-rulaniya/dsa
DSA Self paced GeeksforGeeks
mahaveer-rulaniya/Logistic-Regression-project
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).
mahaveer-rulaniya/mahaveer-rulaniya
Have an overlook of my current state of analysis from my portfolio introduction.
mahaveer-rulaniya/Pandas-Visualization-
Pandas is a great library for data manipulation. Since it also provides some of the stunning features for the Data Visualisation.
mahaveer-rulaniya/signup-newsletter-api-web-application
A signup newsletter made using API and express js
mahaveer-rulaniya/tensorflow2.0
Getting started with TensorFlow 2.0
mahaveer-rulaniya/The-sparks-Foundation
Tasks and assignments during the data science intern at TSF
mahaveer-rulaniya/Unsupervised-ML
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.