GitHub topics: log-transformation
lk-0410/bike-rental-regression
A regression analysis project predicting bike rentals using weather and seasonal data.
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sushant1827/Creating-Customer-Segments
Machine Learning Nano-degree Project : To identify customer segments hidden in product spending data collected for customers of a wholesale distributor
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Edanur-Y/Variable-Analysis-of-Banks-Ratio-Data
Testing variables for multicollinearity, multivariate normality and analyzing outliers and missing values. ⭕SPSS 🔵R
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AbdullahELyamany/Image-Processing
Image-Processing.exe App to choose an image and apply functions and filters to the image Functions (decrease_brightness, increase_brightness, negative, power_law, log_transformation, histogram_equalization) Filters (average, max, min, median, sobel, prewitt)
Language: Python - Size: 13.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
adityashrm21/Bike-Sharing-Demand-Kaggle
Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand
Language: R - Size: 6.84 KB - Last synced at: 12 days ago - Pushed at: over 7 years ago - Stars: 31 - Forks: 40
gaaniruddha/FIT5196-A3
This repository contains assignments #3 that was completed as a part of "FIT5196 Data Wrangling", taught at Monash Uni in S2 2020.
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aneeshmurali-n/ML_Bangalore_House_Price_Analysis
This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.
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AriyanMLZM/matlab-image-processing
🖼️ Image processing project with implementing different transforms using Matlab power.
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mananpatel06/Digital-Image-Processing
Image Processing Algorithms
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Fay-Balhareth/Lab-4
This lab focuses on image transformation techniques in OpenCV with Python. Tasks include creating mirror images using both Affine and Projective transformations, applying a Log Transformer for contrast adjustment, and implementing a Power-Law Transformer for gamma correction.
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DaGocodes/Financial-Data
Analysis of Skewness and Kurtosis in Stock Return data and their Transformations
Size: 408 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
ShaikRiyazSandy/Simple-Linear-Regression
Simple Linear Regression
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saikrishnabudi/Simple-Linear-Regression
Data Science - Simple Linear Regression Work
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beravoone/IntensityTransformation
This is a repository of my solution to my Image processing class.
Language: Python - Size: 148 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
sharmaroshan/Predicting_Money_Spent_at_Resort
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.
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emrecanduran/RFM-Analysis-Wonderful-Wines-Of-The-World
In this project, I utilized the RFM Model on the WonderfulWines dataset. As a noteworthy enhancement, I employed a log transformation to achieve greater data symmetry, which ultimately resulted in more accurate outcomes.
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AjmalSarwary/Preprocessing
Data prepration and preprocessing for predictive modeling with SAS and Python
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abalmumcu/.pgm-file-read-manipulation-write
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
Language: C++ - Size: 9.17 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1
shanuhalli/Assignment-Simple-Linear-Regression
Predict delivery time using sorting time and Build a prediction model for salary hike.
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shanuhalli/Assignment-Logistic-Regression
Predicting Customer Response to Telemarketing Campaigns for Term Deposit. Output variable Whether the client has subscribed a term deposit or not.
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shanuhalli/Assignment-Neural-Networks
Predict the Burned Area of Forest Fire with Neural Networks and Predicting Turbine Energy Yield (TEY) using Ambient Variables as Features.
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Shahir-Abdullah/Digital-Image-Processing
Image processing codes written in python
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susantabiswas/Digital-Image-Processing
Various things, operation related to digital Image Processing
Language: Python - Size: 8.79 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 6 - Forks: 5
MoinDalvs/Simple_Linear_regression_2
Building a prediction model for Salary hike using Years of Experience
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ntdoris/home-price-prediction Fork of learn-co-curriculum/dsc-phase-2-project-v2-3
Modeling King County Home Prices via Multiple Linear Regression
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MoinDalvs/Simple_Linear_Regression_1
Predicting Delivery Time Using Sorting Time
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MoinDalvs/Learn_Simple_Linear_Regression
Learn about Simple Linear Regression for Data Science
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MoinDalvs/Learn_Feature_Engineering
Data Set: House Prices: Advanced Regression Techniques Feature Engineering with 80+ Features
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Pradnya1208/Loan-approval-prediction
It is a classification Problem where we are supposed to predict whether a loan would be approved or not.
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itzmeanjan/filterIt
Image Processing Algorithms implemented from scratch with in-built concurrency support <3
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MamiyaA/FeatureFinder
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 improve the prediction accuracy and stability of the model.
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Towhid1/Feature-Engineering-Basics
Feature engineering is the process of transforming raw data into features. Here are some basic ideas about feature engineering.
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