Abdumajidhu
Developer / ML Researcher with great interest in Intelligent Applications.
Toronto, Canada
Pinned Repositories
Career-Cloud
Job search portal for job seekers and recruiters to connect on one common platform.
Channel-Letters
Managing channel letters
Classification-and-Regression-using-sklearn
Regression and Classification task with sklearn.
CustomerCloud
Data-Science-Machine-Learning-and-Python-Basics
Solving problems on probability, machine learning and programming. You will perform computations on the data with in the dataset. We shall perform basic preparation techniques as concerned with storage of data and models. And finally we shall cover some graph problems.
data-structures
Image-Analysis-with-color-maps
I will be analysing images in this tutorial. I will implement color maps, cropping, nagating, thresholding and factoring colors.
Image-Enhancement-using-Image-Processing-Techniques
Image Enhancement describes methods to enhance images for either human consumption or for further automatic operations. Perhaps we need to reduce noise in the image; or, certain image details need to be emphasized or suppressed. Other appropriate terms often used are filter- ing, enhancement, or conditioning. The major notion is that the image contains some signal or structure, which we want to extract, along with uninteresting or unwanted variation, which we want to suppress. If de- cisions are made about the image, they are made at the level of a single pixel or its local neighborhood. We have already seen how we might la- bel an image pixel as object versus background or boundary versus not boundary. Image processing has both theory and methods that can found in sev- eral books. Only a few classical image processing concepts are covered in our class lectures. Most methods presented use the important notion that each pixel of the output image is computed from a local neighbor- hood of the corresponding pixel in the input image. However, a few of the enhancement methods are global in that all of the input image pixels are used in some way in creating the output image.
machinelearning-samples
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
php-mvc
Abdumajidhu's Repositories
Abdumajidhu/Career-Cloud
Job search portal for job seekers and recruiters to connect on one common platform.
Abdumajidhu/Channel-Letters
Managing channel letters
Abdumajidhu/Classification-and-Regression-using-sklearn
Regression and Classification task with sklearn.
Abdumajidhu/CustomerCloud
Abdumajidhu/Data-Science-Machine-Learning-and-Python-Basics
Solving problems on probability, machine learning and programming. You will perform computations on the data with in the dataset. We shall perform basic preparation techniques as concerned with storage of data and models. And finally we shall cover some graph problems.
Abdumajidhu/data-structures
Abdumajidhu/Image-Analysis-with-color-maps
I will be analysing images in this tutorial. I will implement color maps, cropping, nagating, thresholding and factoring colors.
Abdumajidhu/Image-Enhancement-using-Image-Processing-Techniques
Image Enhancement describes methods to enhance images for either human consumption or for further automatic operations. Perhaps we need to reduce noise in the image; or, certain image details need to be emphasized or suppressed. Other appropriate terms often used are filter- ing, enhancement, or conditioning. The major notion is that the image contains some signal or structure, which we want to extract, along with uninteresting or unwanted variation, which we want to suppress. If de- cisions are made about the image, they are made at the level of a single pixel or its local neighborhood. We have already seen how we might la- bel an image pixel as object versus background or boundary versus not boundary. Image processing has both theory and methods that can found in sev- eral books. Only a few classical image processing concepts are covered in our class lectures. Most methods presented use the important notion that each pixel of the output image is computed from a local neighbor- hood of the corresponding pixel in the input image. However, a few of the enhancement methods are global in that all of the input image pixels are used in some way in creating the output image.
Abdumajidhu/machinelearning-samples
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
Abdumajidhu/php-mvc
Abdumajidhu/Sooty-mold-effects-on-cassava-yields
Comparing chlorophyll content and spectral data to measure sooty mold effect in Cassava leaves.
Abdumajidhu/Text-mining-with-regex
Analyzing data, extracting and structuring using regex in python.
Abdumajidhu/Using-a-haar-classifier-cascade-to-identify-blood-cells-and-malaria-parasites
Use a haar classifier cascade to identify matches in a given image.
Abdumajidhu/Working-with-features
This notebook guides through some basic theory of working with features. From raw data to meaningful features.