Sudeep Sidhu's repositories

Insurance-Price_Predictor

Regression model to predict insurance price of indivduals

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Best_Classifier

Classification models are used on a same data set to check accuracy of different models.

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BULLS-EYE

Here is an interesting game to guess a number between a range.

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Calculator-GUI-

UI based simple calculator using Python Tkinter module, which can perform basic arithmatic operations addition, subtraction, multiplication and division.

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Cement-Strength-

Regression through layers using keras

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Cloud-Kitchen

finds best location to open swiggy/zomato like office in a city

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Color-Color

In this game player has to enter color of the word that appears on the screen and hence the score increases by one, the total time to play this game is 30 seconds. Colors used in this game are Red, Blue, Green, Pink, Black, Yellow, Orange, White, Purple and Brown. Interface will display name of different colors in different colors. Player has to identify the color and enter the correct color name to win the game.

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Data-Analysis

Data Anlysis NB

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dffml

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

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Fish-Prediction

Predecits species of fish using fish dimensions

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Gravity

Sympy for solving gravitational force

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Hand-Written-Digit-Classification

Classifies which handwritten digit it is

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Identify-behavior-patterns-via-smart-phone-sensor-data

Identifying Human Behavior patterns using data recorded from smartwatch

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Image-Classifier-

Uses keras CNN model to classify images , tensorflow at backend

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News_Virality

Crawl news & information websites & anticipate the likelihood of its virality.

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planet-sympy

The planet SymPy sources

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Pulsar_Star-Predictor

Pulsars are a rare type of Neutron star that produce radio emission detectable here on Earth. They are of considerable scientific interest as probes of space-time, the inter-stellar medium, and states of matter . As pulsars rotate, their emission beam sweeps across the sky, and when this crosses our line of sight, produces a detectable pattern of broadband radio emission. As pulsars rotate rapidly, this pattern repeats periodically. Thus pulsar search involves looking for periodic radio signals with large radio telescopes. Each pulsar produces a slightly different emission pattern, which varies slightly with each rotation . Thus a potential signal detection known as a 'candidate', is averaged over many rotations of the pulsar, as determined by the length of an observation. In the absence of additional info, each candidate could potentially describe a real pulsar. However in practice almost all detections are caused by radio frequency interference (RFI) and noise, making legitimate signals hard to find. Machine learning tools are now being used to automatically label pulsar candidates to facilitate rapid analysis. Classification systems in particular are being widely adopted, which treat the candidate data sets as binary classification problems. Here the legitimate pulsar examples are a minority positive class, and spurious examples the majority negative class.

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pydatastructs

A python package for data structures

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sidhu1012.github.io

This is my personal blog to track and share my GSoC progress.

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Spotify-Recommendation-Engine

Music Recommender System

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sunpy

SunPy - Python for Solar Physics

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tensorflow

An Open Source Machine Learning Framework for Everyone

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Traffic-Sign-Classification

CNN model which classifies traffic sign images

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uarray

A general dispatch and override mechanism for Python.

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sympy

A computer algebra system written in pure Python

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