Data Science Portfolio

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.

Examining the effect of environmental factors and weather on Bike rentals

Skills Used: Python,Pandas,Sklearn,Matplotlib, Linear Regression

Project Objective: Predicting Bike rental demand on basis of weather and seasonal factors in advance to take appropiate measures which finally will result in bike utilization.

Quantifiable Result: We could predict the bike Rental Demand resulting in 55 % accuracy

In Portuguese banking institution Project classification goal is to predict if client will subscribe a term deposit or Not

Skills Used: Python, Pandas, Sklearn, Logistic Regression

Project Objective: The main objective is to predict customers’ responses to future marketing campaigns, through classification and regression models, so that the bank can focus its marketing efforts on the most responsive customers. The models would help the bank to secure deposits more efficiently, save marketing costs and reduce undesirable advertisements to customers.

Quantifiable Result: We Can Predict Customer’s Response with 85% accuracy

Identifying symptoms of orthopedic patients as normal or abnormal

Skills Used: Python, Pandas, Sklearn, KNN

Project Objective: In this project we are provided with multiple instances of orthopedic parameters and we are also provided with their classification as Normal or Abnormal. We have to implement K Nearest Neighbour, the algorithm is used to classify points according to class of their K nearest neighbour points .

Quantifiable Result: We Can Identify symptoms of orthopedic patients as normal or abnormal with 82.8% accuracy