abdumajidhu Goto Github PK

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.

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

sooty-mold-effects-on-cassava-yields

Comparing chlorophyll content and spectral data to measure sooty mold effect in Cassava leaves.

text-mining-with-regex

Analyzing data, extracting and structuring using regex in python.

using-a-haar-classifier-cascade-to-identify-blood-cells-and-malaria-parasites

Use a haar classifier cascade to identify matches in a given image.

working-with-features

This notebook guides through some basic theory of working with features. From raw data to meaningful features.