Rishiraj's starred repositories
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.
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.
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
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.
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.
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.
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.
Predicting-Stock-Close-Price-using-ANN
Feed forward Neural Network