Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand
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Updated
Jan 24, 2018 - R
Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand
Image processing codes written in python
It is From Analytics Vidhya Hackathons, Sponsored by Club Mahindra. It is based on Regression Problem, Where Accuracy matters the most, It is measured by RMSE Score. Different Techniques such as Stacking, Ensembling, Boosting and Scientific Operations such box-cox Operations to reduce skewness of the data.
Various things, operation related to digital Image Processing
This repository introduces reader to basic concepts of simple linear regression and its application.
Image Processing Algorithms implemented from scratch with in-built concurrency support <3
Image Enhancement( Unsharp masking, Histogram Equalisation)
This repo includes; Image Negative, Logarithmic Transformation, Power-Law (Gamma) Transformation, Averaging Filter, Median Filter, Laplacian Filter, Sobel Gradiant, Histogram Equalization, DFT, Marr and Hildreth, Otsu Thresholding, Global thresholding
Building a prediction model for Salary hike using Years of Experience
Modeling King County Home Prices via Multiple Linear Regression
Simple Linear Regression
Data Set: House Prices: Advanced Regression Techniques Feature Engineering with 80+ Features
Image Processing Algorithms
It is a classification Problem where we are supposed to predict whether a loan would be approved or not.
Predicting Delivery Time Using Sorting Time
Predict the Burned Area of Forest Fire with Neural Networks and Predicting Turbine Energy Yield (TEY) using Ambient Variables as Features.
Jupyter notebook and "Streamlit" python scripts for identifying features that can predict employee turn over rates at 250 senior care centers across the US. Combines multiple repetition of Lasso regression and linear regression. Integrates U.S. census data, employee salary, and employee tenure with data on employee satisfaction and engagement to…
Udacity Data Scientist Nanodegree Project - Employ supervised algorithms to accurately model individuals income
Learn about Simple Linear Regression for Data Science
implement the concepts of Fourier Transformation technique such One-Dimensional Fourier Transform, Two-Dimensional Fourier Transform and Image Enhancement technique such as Image Inverse, Power Law Transformation and Log Transformation.
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