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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

7dc

C++ programming language from basics

authorization-and-security

Implementation of Authentication and Login

automobile-price-prediction-project

Development of a web app that predicts the automobile price.

big_mart_sales_prediction

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.

bootstrap

Website for Portfolio build using Bootstrap library of CSS

calculator-using-node.js

Calculator using Node js

classification-models

Train different classification models on the unbalanced dataset and applying different evaluation methods to it.

codespace

competitions-and-hackathons

Participating in various competitions and Hackathons related to Data Science

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.

customer-analytics

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

data-analysis

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

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.

data-structures-algorithms

Leetcode coding questions

data_analysis_challenge

Data Analysis Challenge organized by Skill Hives

deep-learning

All the contents related to Deep learning and its applications

deployement_of_ml_using_flask

Deploying the Titanic survival prediction ML problem using flask

dice-roll-app

Dice Game website built using HTML, CSS and JavaScript

drum-kit-music-website

Applying features of JavaScript along with HTML and CSS to build a cool application of drum kit play

dsa

DSA Self paced GeeksforGeeks

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.

learning-experimenting

leethub

Automatically sync your leetcode solutions to your github account

loan_prediction_analytics_vidhya_hackathon

Loan prediction using Machine learning.

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

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

mahaveer-rulaniya.github.io

open-contributions

This Repository is for Learning purpose, and open contributions under DevIncept program.

pandas-visualization-

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