sidhu1012

Best_Classifier

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

BitCoin-Predcitor

BULLS-EYE

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

Calculator-GUI-

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

Cement-Strength-

Regression through layers using keras

Cloud-Kitchen

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

Clustering-on-Vehicle-dataset

Imagine that an automobile manufacturer has developed prototypes for a new vehicle. Before introducing the new model into its range, the manufacturer wants to determine which existing vehicles on the market are most like the prototypes--that is, how vehicles can be grouped, which group is the most similar with the model, and therefore which models they will be competing against. Our objective here, is to use clustering methods, to find the most distinctive clusters of vehicles. It will summarize the existing vehicles and help manufacturers to make decision about the supply of new models.

Insurance-Price_Predictor

Regression model to predict insurance price of indivduals

Movie-Recommender

Content Based Recommender SystemNow, let's take a look at how to implement Content-Based or Item-Item recommendation systems. This technique attempts to figure out what a user's favourite aspects of an item is, and then recommends items that present those aspects. In our case, we're going to try to figure out the input's favorite genres from the movies and ratings given.

Telecoumminication

Imagine a telecommunications provider has segmented its customer base by service usage patterns, categorizing the customers into four groups. If demographic data can be used to predict group membership, the company can customize offers for individual prospective customers. It is a classification problem. That is, given the dataset, with predefined labels, we need to build a model to be used to predict class of a new or unknown case

sidhu1012/Insurance-Price_Predictor

Regression model to predict insurance price of indivduals

sidhu1012/Best_Classifier

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

sidhu1012/BULLS-EYE

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

sidhu1012/Calculator-GUI-

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

sidhu1012/Cement-Strength-

Regression through layers using keras

sidhu1012/Cloud-Kitchen

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

sidhu1012/CO2-EMISSION-ESTIMATOR

sidhu1012/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.

sidhu1012/Data-Analysis

Data Anlysis NB

sidhu1012/DataScientist

sidhu1012/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.

sidhu1012/Fish-Prediction

Predecits species of fish using fish dimensions

sidhu1012/Gravity

Sympy for solving gravitational force

sidhu1012/Hand-Written-Digit-Classification

Classifies which handwritten digit it is

sidhu1012/Identify-behavior-patterns-via-smart-phone-sensor-data

Identifying Human Behavior patterns using data recorded from smartwatch

sidhu1012/Image-Classifier-

Uses keras CNN model to classify images , tensorflow at backend

sidhu1012/Iris-Classification

sidhu1012/News_Virality

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

sidhu1012/planet-sympy

The planet SymPy sources

sidhu1012/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.

sidhu1012/pydatastructs

A python package for data structures

sidhu1012/sidhu1012

sidhu1012/sidhu1012.github.io

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

sidhu1012/SoloG

sidhu1012/Spotify-Recommendation-Engine

Music Recommender System

sidhu1012/sunpy

SunPy - Python for Solar Physics

sidhu1012/tensorflow

An Open Source Machine Learning Framework for Everyone

sidhu1012/Traffic-Sign-Classification

CNN model which classifies traffic sign images

sidhu1012/uarray

A general dispatch and override mechanism for Python.

sidhu1012/sympy

A computer algebra system written in pure Python