

PROJECT HIGHLIGHT: Analytics Vidhya Challenge: Loan Prediction
This dataset pertains to mortgage loan applications, with the objective of predicting the loan approval status (Approved/Rejected). The project highlights data cleaning, analysis, and visualization techniques, utilizing supervised machine learning models. Key libraries used include NumPy, Pandas, SciKit-Learn, Matplotlib, Seaborn, and SciPy.
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Old Projects
PROJECT HIGHLIGHT: Kaggle 's Titantic: Machine Learning from Disaster using Python
Demonstrates data munging, analysis, visualization techniques.
Shows examples of supervised machine learning techniques using packages such NumPy, Pandas, SciKit-Learn (Machine Learning), Matplotlib, Seaborn, SciPy
Predicts survival rate of passengers at 75%. Click the image for more detail...
PROJECT HIGHLIGHT: Data Visualization of Movie Imdb Insights using Tableau 10
I've always have been a fan of Tableau and used it in previous projects. During a recent class,
I gathered business insights with the latest version of my favorite visualization tool using data from one of my favorite things to do-Watch Movies. Click the image for more detail...