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My-First-Webinar
Source code added for all the topics I taught in my first ever webinar organised by ACE club of SVCE :)Movie-Review-Sentiment-Analysis
Sentiment of a movie review is predicted using three different neural network models - MLP, CNN and LSTM. GloVe embedding is used for vector representation of words.Loan-Approval-Prediction
Performed univariate and bivariate analysis to understand the features and their relationships for loan approval prediction. Achieved highest accuracy of 98% for Extreme Gradient Boosting among all tested machine learning classification models.Chatbot-for-Farmers
Chatbot built using Dialogflow and Firebase that gives information on control of basic crop diseases and details about basic loans.Extreme-gradient-boosting-parameter-tuning
Parameters of extreme gradient boosting model are fine tuned to achieve better accuracyDCGAN-Fashion-MNIST
Built a Deep Convolutional Adversarial Neural Network (DCGAN) to generate realistic Fashion MNIST imagesIdentifying-free-parking-lots-CNN
A VGG16 model is built to identify free parking lots. Transfer learning is used while training the model.Killer-Hunter
Connecting the dots - solving murder mystery with evidences and testimonies.Love Open Source and this site? Check out how you can help us