Discover @MrKhan0747 Open Source projects

Mr Khan (@MrKhan0747)

MrKhan0747

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104
Global Rank 202,128 (Top 7 %)
Followers 22
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Registered over 6 years ago
Most used languages

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84.6 %

Java
7.7 %

Python
7.7 %
Location 🇮🇳 India
Country Total Rank 5,900
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449

Diabetes-Prediction

Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied

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Blood-Cell-Subtypes-Classification

Using deep learning and CNN model

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Heart-Disease-Detection

Machine learning model to detect heart attack. Various techinques applied data cleaning, visualization, and modeling

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Skin-Disease-Cancer-Detection

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New-York-City-Taxi-Trips-Fare

In this project using New York dataset we will predict the fare price of next trip. The dataset can be downloaded from https://www.kaggle.com/kentonnlp/2014-new-york-city-taxi-trips The dataset contains 2 Crore records and 8 features along with GPS coordinates of pickup and dropoff

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Flight-Ticket-Price-Prediction

Machine Hack challenge to predict the flight ticket price. A detail description can be found on https://www.machinehack.com/course/predict-the-flight-ticket-price-hackathon/

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ClubMahindra-DataOlympics-Challenge

The Club Mahindra Dataolympics competition was held over Analytics Vidhya platform. The goal was to build the model to get prediction of Amount Spent on Food & Bevrages per night. The dataset contains the 35K train set and 15K test set. More details on link https://datahack.analyticsvidhya.com/contest/club-mahindra-dataolympics/

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Student-Management-System-Java-Project

It is basic JDBC student management project. It includes the module of Login of Admin, Insert Student Details, View Student Detalis and filter the data. The whole project is based on mysql.

Breast-Cancer-Detection

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Credit-Card-Fraud-Detection

Credit Card Fraud Detection

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Voice-Base-Gender-Classification

In this project I classified the human gender based upon the voice dataset. The dataset contains the 30 features and 3000 records. In this model I applied various algortihms to find the accurate model.

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Simple-Linear-Regression

Human-Activity-Classification

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