Girish's repositories
Fake-News
To design a system that recognizes trending posts/articles on social media and assigns a ‘credibility score’ (score of truthfulness) to it.
node-api
Node api
node-js-sample
A barebones Node.js app using the Express framework.
Detect-Fraud-Credit-Card-Application
Detect fraudulent credit card application using self organizing maps (unsupervised deep learning)
Forecasting-Solar-Power-using-LSTM
LSTM implementation for forecasting power from solar panel. There are two models - 1.Day ahead model ( forecasts power of next 16 timesteps ) 2. Hour ahead model ( forecasts power of next timestep )
Classification-models-in-ML
Dataset contains information about users of a social network and whether they have bought brand new SUV through clicking ad posted in social network or not. Implemented following classification models to predict whether new user will buy SUV or not. 1. Logistic regression 2. Naive Bayes 3. Decision Tree 4. Random Forest 5. K-Nearest Neighbour 6. Support vector machine
Bluffing-Detector-Using-Regression-Models
Bluffing Detector for any HR guy in company to detect what new applicant claims is truth or bluff. Implemented 4 regression models - 1. Decision tree regression 2. Polynomial regression 3. Random Forest regression 4. Support vector regression
Analysis-of-50-Startups
Implementation of Multiple linear regression for analysis of 50 startups
Market-Basket-Optimization
Associative Rule Mining Using Apriori algorithm
Clustering-of-Mall-Customers
Clustering customers of a mall using two methods - 1. Hierarchical clustering 2. K-Means Clustering
Google-Stock-Price-Prediction-Using-RNN
Google stock price prediction using RNN variant LSTM
Churn-Modelling-using-ANN
Churn modelling using artificial neural network