HR Analytics: Data Cleaning, EDA & Data Visualization
A detailed end-to-end process of Data Cleaning, Exploratory Data Analysis and Data Visualization to glean useful insights to make informed choices within the sphere of HR analytics. Press Ctrl + click on Learn More to open in new tab.
Toolkit: Python, scikit-learn, EDA, numpy, pandas
Predicting Airfoil Sound pressure using TensorFlow
A Multiple Linear Regression model consisting of Data Cleaning, Analysis and Data Visualization using TensorFlow to predict sound pressure in decibels coming from airfoils used in commercial flights. Press Ctrl + click on Learn More to open in new tab.
Toolkit: Python, TensorFlow, EDA, numpy, pandas
Detecting Peanut flowers in a Peanut canopy farm
A Computer Vision project done in colloboration with USDA to detect peanut flowers from images captured in a Peanut farm using Microsoft Kinect mounted on a remote controlled cart. The detection of peanut flowers using Computer Vision models avoids the laborious need for manual counting by farmers. Press Ctrl + click on Learn More to open in new tab.
Toolkit: Python, OpenCV, scikit-learn, numpy
Creating a panorama of Images using OpenCV and Python - Image Stitching
Individual images of peanut farm bushes are captured to idenitfy the growth of the canopy in terms of width. They are then stitched as a long panorama image which is used to study and understand efficient use of fertilizers to boost peanut plant growth. The project was done in colloboration with USDA. Press Ctrl + click on Learn More to open in new tab.
Toolkit: Python, pandas, scikit-learn, numpy
Drug Classification - Data Analysis & Modelling
A Multi Class Classification problem to identify the correct type of Drug to be used based on different health based attributes. Implementation includes the complete Machine Learning pipeline of Exploratory Data Analysis (EDA), visualization. model Fitting and tuning. Press Ctrl + click on Learn More to open in new tab.
Toolkit: Python, pandas, scikit-learn, numpy
Exploratory Data Analysis - To Buy or not to Buy (a Bike!)
An Exploratory Data Analysis project to extract key insights and features based on Bike Buyers dataset. Through this project one can understand what factors drive a person on deciding whether to buy a bike or not. Press Ctrl + click on Learn More to open in new tab.
Toolkit: Python, pandas, scikit-learn, numpy