"To build a classification model to predict which clients are likely to default on their loan, and give recommendations to the bank on the important features to consider while approving loans to minimize losses" [June 2022]
AM_final_capstone_project.pdfPython Code for Loan Default Model (Capstone Project)
Abhishek_Maheshwari_Capstone_ppt.pptxPresentation for Loan Default Model (Capstone Project)
RECOMMENDER SYSTEMS: "Building a recommendation system to recommend the best Amazon products to the users" [May 2022]
Amazon_Recommender_System.pdfNEURAL NETWORKS: "Recognizing the Street View Housing Number Digit using Neural Networks (Artificial and Convolutional)" [May 2022]
ANN.pdfCNN_Image_recognition.pdfTIME SERIES: "Forecasting Amazon stock prices using time series (ARIMA) models" [May 2022]
Time_Series_modeling.pdfDECISION TREES/ RANDOM FOREST: "identifying which leads are more likely to convert to paid customers based on attributes of leads and their interaction details" [April 2022]
Decision_tree_and_random_forest_model.pdfLOGISTIC REGRESSIONS/KNN: "Predicting the cancellation of hotel bookings" [April 2022]
ML_Classification_Logistic_KNN.pdfUNSUPERVISED LEARNING (DIMENSIONALITY REDUCTION & CLUSTERING):
"Applying dimensionality reduction on the auto-mpg dataset";
"Identifying different segments in the existing customer base, taking into account their spending patterns as well as past interactions with the bank" [April 2022]
Dimensionality_reduction_PCA_tSNE.pdfClustering_Unsupervised_Learning.pdfEXPLORATORY DATA ANALYSIS/ DATA VISUALIZATION: "Analyzing the marketing campaigns to help CMO devise the next strategy" [March 2022]
EDA_Marketing_Campaign_Analysis.pdf