Rishab Raina (rainaa0277)

rainaa0277

Geek Repo

Company:Sify Technologies

Location:Hyderabad

Home Page:linkedin.com/in/hirishabraina

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Rishab Raina's repositories

Computer-Vision

Playing with Open CV

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Fashion-MNIST-Classifier-using-ANN

Fashion training set consist of 70,000 images divided into 60,000 training and 10,000 testing samples. Dataset samples consists of 28x28 grayscale image associated with a label from 10 calsses.

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Heart-Disease-Prediction-using-Decision-Trees

Heart disease is easier to treat when it is detected in the early stages. In this study, we experiment with the heart disease dataset to explore the machine learning algorithms and build an optimum model to predict the disease.

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House-Price-Prediction-using-Linear-Regression

For a real estate firm, building a house price prediction model based upon various factors. Problem - Regression | Algorithm used -Linear Regression using OLS

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Image-Classification-using-ANN-Forest-vs-Building-

In this model we have tried to use ANN for image classification. We have learnt that ANN flattens the image pixels. This is why we loose some important information, and why ANN should not be preferred for image classification. How ever this project is solely based on the practicing and getting hands dirty and finding dis-advantages of an Architecture over another.

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Mobile-price-prediction-using-KNN

There is a new mobile company and the CEO wants to give tough fight to big companies like Apple,Samsung etc. He has no idea of how to estimate price of mobiles his company creates. A simple assumption of the prices will not be profitable in this competitive world. To solve this problem he collects sales data of mobile phones of various companies. Thus, the CEO has hired you to find out some relation between features of a mobile phone(eg:- RAM,Internal Memory etc) and its selling price. You have to predict a price range indicating how high the price is.

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Predicting-Stock-Close-Price-using-ANN

Feed forward Neural Network

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Python-Autoscraper

Web scraping technique

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Taxi-Fare-Prediction-using-Random-Forest

This case study is to predict the taxi fare for a taxi ride in New York City from a given pickup point to the agreed dropoff location. Decision tree and Random Forest regressor is used for the fare prediction.

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Vaccine-Usage-Prediction-using-Logistic-Regression

In this case study, we predict, how likely it is that the people will take a H1N1 flu vaccine.

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-emojis-for-streamlit

Find the emoji name for building streamlit app

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data_science_usecases

DL/ML use cases

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Footwear-classification-using-ConvNets

Making a footwear classification model using CNN.

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Guess-My-Number

Game made using Vanilla JS. To guess an unknown number in 5 chances to win the game.

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Salary-Prediction-Web-Application-using-Stream-Lit

Using StreamLit library, we have created a web application which will use ML algorithm in backend to predict the estimated salary.

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Sentiment-Analysis-using-Recurring-Neural-Network

The Social Dilemma, a documentary-drama hybrid explores the dangerous human impact of social networking, with tech experts sounding the alarm on their own creations as the tech experts sound the alarm on the dangerous human impact of social networking. This dataset brings you the twitter responses made with the #TheSocialDilemma hashtag after watching the eye-opening documentary "The Social Dilemma" released in an OTT platform(Netflix) on September 9th, 2020. You can categorize the tweets into different groups to identify the sentiment of the users regarding the documentary.

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YOLOv4-Cloud-Tutorial

This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

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