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credit-risk-analyzer

Using the given data-set to generate a decision tree model that can successfully predict for a new applicant with recorded data for given parameters in the data set, if he is likely to be a defaulter.  

decisiontree-randomforest

Using the data of Lending Club from 2007-2010, tried to classify and predict whether or not the borrower paid back their loan in full.

house_price_prediction

Simple linear regression model for predicting the sales price of houses depending upon 79 explanatory variables describing almost every aspect of residential homes in Ames.

knn

KNN is implemented to create a model that directly predicts a class for a new data point based on the given features but, the feature column names are hidden or encrypted.

svm

Using support vector machine build a predictive model to predict the possibility of breast cancer being benign or malignant.

time-series-on-airlines-passengers

A time series model on predicting the number of airline passengers by using various techniques

titanic_survival_prediction

A predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger details (like name, age, gender, socioeconomic class, etc).

traffic-forecasting

A traffic forecaster that can predict the traffic flow in a smart city accurately and in real-time.

web-development-course