Latest Posts
Mall Customer Segmentation using K-Means Clustering
Performed K-Means clustering technique on Mall Customer dataset via Python, predicting patterns of footfall in mall over demographic factors Used Elbow method via sklearn library in Python to find resulting number of clusters to be 5 thereby highlighting target...
Global Terrorism Exploratory Data Analysis
Performed data cleaning, processing and exploratory data analysis on “Global Terrorism” dataset of and 181k entries & 135 different attributes Depicted results through story boards of scatterplots, barplots, histogram & venn diagrams via Python revealing...
Student Performance Analysis using Artificial Neural Networks, Naïve Bayesian and Decision Tree
Evaluated student performance predictive model using artificial neural networks, naïve bayesian and decision tree Used ensemble methods of bagging and boosting, random forest to improve the model accuracy after cleaning and processing student data collected from...
Automated Appointment Booking VoiceBot & Data Visualization
Implemented NLP to develop AI voice bot assistant to book hospital appointments along with devising an interactive desktop application to manually book appointments via Python libraries and framework Built classification and prediction models using scikit-learn to...