Python Connoisseur
Data Scientist
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Here are some of my best Data Science Projects. I have explored various machine-learning algorithms for different datasets. Feel free to contanct me to learn more about my experience working with these projects.
What other factors besides the number of bedrooms can influence price of a house
Skills used: Python, pandas, sklearn, numpy, matplotlib, seaborn
Project Objective: Create a linear model using the provided data. The model needs to acquire an accurate final price prediction of a house using the provided features.
Quantifiable result: My model was able to acquire a validation score of 92%.
Understanding how policies can be improved for employee benefits
Skills used: Python, sklearn, pandas, numpy, scipy, matplotlib, seaborn
Project Objective: Clean and organize the given data. Then, Cluster the data using a clustering algorithm and find a meaning or a message from the data.
Quantifiable result: I was able to get 5 solid clusters.
Examining the effect of environmental factors and weather on Bike rentals
Skills used: Python, pandas, numpy, matplotlib, plotly
Project Objective: Create a linear model and identify what features affects the number of bikes rented.
Quantifiable result: I was able to achieve a validation score of 74% using Bagging Model.
How a target clients for a particular marketing campaign using many specific features
Skills used: Python, pandas, matplotlib, seaborn, sklearn, SMOTE
Project Objective: Using a vast data/features of bank customers, create a model that would determine which customers are likely to subscribe to a term deposit.
Quantifiable result: I was able to get a accuracy score of 90%
Image recognition using Convolutional Neural Network
Skills used: Python, tensorflow, keras, numpy
Project Objective: Create a model that could look at a picture, and specify if it is a cat or dog.
Quantifiable result: I was able to get a accuracy score of 90%.