pepelawycliffe/Cars_Price_Prediction

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Created almost 4 years ago
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pepelawycliffe/Cars_Price_Prediction

pepelawycliffe

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Predicting Car Price The dataset for prediction of car price contains information on various cars. For each car there is information about the technical aspects of the vehicle such as the motor's displacement, the weight of the car, the miles per gallon, how fast the car accelerates, and more. The machine learning model we are going to use is k nearest neighborhood. But before that we are going to import some libraries and clean the data.

phone_number_tracker_App

Tkinter GUI application made in Python for tracking the location of the mobile phone number

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photo-motion-animation

photo-motion-animation Animation creator with intuitive arrows sets photo motion direction. Background changer with stunning filters. Animation effects for pictures with overlays, sparkles, and more. Picture effect editor. Auto Play Create live wallpaper with glitch effects.

car_rental_system

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AI_in_Finance

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Implied_volatility_modelling

implied volatility modelling consists in attempting to describing the behaviour of the implied volatility surface (or just the volatility smile of a given maturity) throughout time with the smallest prediction error possible (or at least in a way doesn't make us lose money)

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PDF-Converter-Android-app-

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Air-vpn

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Banking_Behavioural_Scorecard_model

our task is to build a banking behavioural scorecard model for internal customer through a user liability account and predict the crredit risk what is a Banking behavioural scorecard banking behavioural scorecard is a model that is maintained for a customer based on his liability transacation.liability transcation are transacations that are transacted by an internal customer of bank.Internal customer of a bank are the customers who have a saving account with a bank how can a customer repay a loan? customer pays the loan in equal monthly instalment .loan get paid through post dated cheques customer also has an option to pay through the electronic clearing system techniques or standing instruction to debit the user what is the meaning of customer risk profile? customer risk profile means the probability of the customer defaulting on his equal monthly instalments payment

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IndustryPRO-Documentation

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chatapp

Options_Calculator_with_Binomial_model

Binomial model is arguably the simplest techniques used for option pricing. In this calculator, the options price will be calculated by two binomial-tree methods,Cox-Ross-Rubinstein and Jarrow-Rudd (the equal-probability model). Each of the approaches has its advantages and disadvantages for pricing different types of options. However, they all involve a similar tree-step process. * There are only two possible prices for the underlying asset on the next day. * The two possible prices are the up-price and down-price * No dividends are paid out during the option’s life. * The risk-free rate is constant throughout the life of the option * There are no transaction and commissions costs in buying the option. * Investors are risk neutral

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Options_Calculator_with_Black_Scholes_model

In order to know more information about a stock option, this options calculator with Black-Scholes Model, the first widely used model for option pricing, can provide the call/put option price, d1, d2, and Greek letters. It can assist investors in establishing an option trading strategy. Certain assumptions must be made due to this calculator is modeled by Black-Scholes model. * It works on European options that can only be exercised at expiration. * No dividends are paid out during the option’s life. * Stock markets are efficient. The movement of the markets cannot be predicted, and there is continuous trading * There are no transaction and commissions costs in buying the option. * The risk-free rate and volatility of the underlying are known and constant. * The returns on the underlying are normally distributed.

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RNN_earthquakes_engineering

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image_to_sound

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Music_Android_APP

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Equal_Risk-_Pricing_of_Financial_Derivatives_with_Deep_Hedging

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Android_Portfolio_App

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walking_clinic

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CarPricePrediction

CarPricePrediction in python

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LiveChart

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Sound_Therapy

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Website_Images_crawler

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credit_card_validator

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worksuite-documentation

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Notes-App

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Air-vpn-documentation

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worksuite

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Supermarket_Billing_System-

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shopping_biling_system

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pepelawycliffe

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life-insurance-manageme

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stock_price_prediction

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Out_Door

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Number_Guessing_Game

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Uber_Supply_Demand_Gap

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Sudoku_GUI

his is a sudoku solver using the backtracking algorithm. It includes a graphical GUI as well as a text based version. Run GUI.py to play sudoku.

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Image_tag

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Weforecastie

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Image_visualization

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user-registration

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Semester_Programs

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Bank_system

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EDA_earthquakes

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Data_Cleaning_model

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simple_neural_networks

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vocabrary_teacher-

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music_pod

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recognize_speech_from_mic

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Self_optimizing_ML

In this demo, we show the core idea of a self-optimizing ML modeling: Running an optimization loop wrapped over a ML algorithm to optimally meet a target of not only the ML performance but something else - a business goal, a computational cost burden, a complexity measure, etc.

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bitcoinminer_doc

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Health_Insurance_Lead_Prediction

Your Client FinMan is a financial services company that provides various financial services like loan, investment funds, insurance etc. to its customers. FinMan wishes to cross-sell health insurance to the existing customers who may or may not hold insurance policies with the company. The company recommend health insurance to it's customers based on their profile once these customers land on the website. Customers might browse the recommended health insurance policy and consequently fill up a form to apply. When these customers fill-up the form, their Response towards the policy is considered positive and they are classified as a lead. Once these leads are acquired, the sales advisors approach them to convert and thus the company can sell proposed health insurance to these leads in a more efficient manner. Now the company needs your help in building a model to predict whether the person will be interested in their proposed Health plan/policy given the information about: Demographics (city, age, region etc.) Information regarding holding policies of the customer Recommended Policy Information Evaluation Metric Submissions are evaluated on area under the ROC curve between the predicted probability and the observed target.

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chk-lick

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OpenMrs-core

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amazcart

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TodoReactNative

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daraja

lickedpwnedOrNot

tests the given email address using

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architectect

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