stmarys projects documentation 2020
ST MARYS PROJECT DOCUMENTATION
Ease_of_Business prediction using python Machine Learning
Customer_Segmentation_Online_Retail using python Machine Learning
Computing the optimal search strategy for finding Waldo using python Machine Learning
CLV_Online_Retail using python Machine Learning
Bayesian Modeling Customer Support Response time
Bayesian Logistic Regression_bank marketing using python Machine Learning
WSDM – KKBox’s Music Recommendation using python machine learning
Time Series of Price Anomaly Detection Expedia
stack_over_flow_auto_tagging prediction using python Machine Learning
Seattle Hotels Recommender using python Machine Learning
Rethinking the population pyramid using python Machine Learning
Predict_Bay_Area_Home_Price using python Machine Learning
Practical Statistics House using python Machine Learning
Multi label text classification using python Machine Learning
Modeling House Price with Regularized Linear Model & Xgboost using python Machine Learning
Machine Learning for Diabetes Prediction
LSTM Time Series Power Consumption prediction using using python Machine Learning
Hotel recommendation System using python Machine Learning
Gender classification Analysis uing python machine learning
Employee_Turnover prediction using python Machine Learning
Employee Information management
HOTEL RECOMMENDATION SYSTEM USING PYTHON MACHINE LEARNING-finale
Natural Language Processing of Movie Reviews using nltk
Tracking-Multiple-Objects-using python and opencv library
Using the Twitter API for tweet analysis-finale
Weather data clustering using K-means-finale
AD DEMAND FORECAST AVITO USING PYTHON MANCHINE LEARNING
ONLINE VIDEO CHATTING USING PYTHON
Content Based Image Retrieval using Python and Artificial Intelligence
Image Dehazing using python and Artificial Intelligence
Handwritten-Grocery-List-Detection using python and ocr recognition
Finger Detection Using Python and Artificial Intelligence
Face and Eyes Detection using Python and Artificial Intelligence-reduced
OCR RECOGNITION OF SCANNED DOCUMENT USING TESTRACT