Mahaveer Rulaniya's Projects
500 AI Machine learning Deep learning Computer vision NLP Projects with code
C++ programming language from basics
Implementation of Authentication and Login
Development of a web app that predicts the automobile price.
The aim is to build a predictive model and find out the sales of each product at a particular store. Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.
Website for Portfolio build using Bootstrap library of CSS
Calculator using Node js
Train different classification models on the unbalanced dataset and applying different evaluation methods to it.
Participating in various competitions and Hackathons related to Data Science
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.
Customer segmentation is the practice of dividing a company's customers into groups that reflect similarities among customers in each group.
A complete cycle of the Data analysis process, starting from data manipulation using Pandas and Numpy and the Visualizing the data to draw insights from it for better decision quality.
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.
Leetcode coding questions
Data Analysis Challenge organized by Skill Hives
All the contents related to Deep learning and its applications
Deploying the Titanic survival prediction ML problem using flask
Dice Game website built using HTML, CSS and JavaScript
Applying features of JavaScript along with HTML and CSS to build a cool application of drum kit play
DSA Self paced GeeksforGeeks
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.
Automatically sync your leetcode solutions to your github account
Loan prediction using Machine learning.
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).
Have an overlook of my current state of analysis from my portfolio introduction.
This Repository is for Learning purpose, and open contributions under DevIncept program.
Pandas is a great library for data manipulation. Since it also provides some of the stunning features for the Data Visualisation.