Suhail Shaikh's repositories
Improving-Customer-Engagement-at-VMWARE-through-Analytics-Harvard-Business-Case-Study-
VMWare-Analytics-Harward-Business-Case-Study-
Predicting-Net-Promoter-Score-to-Improve-patient-Experience-at-Manipal-Hospitals-Harvard-CaseStudy-
Predicting-NPS-Score-Harward-Business-Case-Study-
Language-translation-using-Deep-Neural-networks
Created LSTM model (a special kind of recurrent neural network) for speech translation using TensorFlow where output language is English and input language is Marathi. Used Glove 100 dimensional embeddings for training the LSTM model. Evaluated model by converting input from English to Marathi.
Movie-Recommendation-using-Embeddings
Created movie embeddings vectors based on a model that generates similar vectors for movies watched by similar people. Optimized the cost function using gradient descent in Pytorch and generated 10 recommendations for the user-entered movies.
Banking_System-in-Java
Banking System using Java
Building-Multiple-Regression-model-to-predict-Sales
Multiple Regression
Classifying-text-articles-into-one-of-the-four-categories-based-on-Bag-of-words-from-set-of-articles
Multiclass ‘Support vector Machine” (1 vs all) model with the help of Binary SVM model to classify text articles into one of the four categories
Creating-Mapper-and-reducer-for-count-of-words-in-the-book-Pride_and_Prejudice-
Created Mapper and Reducer function in Python using Multi threading concept to represent Hadoop Infrastructure for counting of words in the book "Pride_and_Prejudice"
Decision-Tree-and-Cross-Validation-implementation-on-Wine-Dataset-to-predict-quality-of-wine
Decision Tree and Cross Validation
Descriptive-Statistics-DecisionTree-on-datasets-named-attitude-Exercise-Diabetes-Birtwt-
Descriptive Statistics and Decision Tree in R
Descriptive-statistics-Random-Forest-Logistic-Regression-ROC-and-AUC-Curve-on-German-Credit-Data
Random Forest and Logistic Regression