reddyprasade Goto Github PK

2020-py-101

This Python for beginners training course leads the students from the basics of writing and running Python scripts to more advanced features such as file operations, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting.

311-service-requests-from-2010-to-present

IBM-Capstone-Project

a-criterion-for-deciding-the-number-of-clusters-in-a-dataset-based-on-data-depth

This paper proposes a novel idea for ¯nding the correct number of groups in a dataset based on data depth. The idea is to avoid the traditional process of running the clustering algorithm over a dataset for ffiffiffi n p times and further, ¯nding the k value for a dataset without setting any speci¯c search range for k parameter. We experiment with di®erent indices, namely CH, KL, Silhouette, Gap, CSP and the proposed method on di®erent real and synthetic datasets to estimate the correct number of groups in a dataset. The experimental results on real and synthetic datasets indicate good performance of the proposed method.

altoroj_vuln_repo

WARNING: This app contains security vulnerabilities. AltoroJ is a sample banking J2EE web application. It shows what happens when web applications are written with consideration of app functionality but not app security. It's a simple and uncluttered platform for demonstrating and learning more about real-life application security issues.

an-introduction-to-statistical-learning-with-applications-in-r

An Introduction to Statistical Learning (ISL)" by James, Witten, Hastie and Tibshirani is the "how to'' manual for statistical learning. Inspired by "The Elements of Statistical Learning'' (Hastie, Tibshirani and Friedman), this book provides clear and intuitive guidance on how to implement cutting edge statistical and machine learning methods. ISL makes modern methods accessible to a wide audience without requiring a background in Statistics or Computer Science.

api

Our Database

application-vulnerability

Software security deals with securing the foundational programmatic logic of underlying software. Different from application security, software security focuses on the early stages of the software development lifecycle (SDLC) and the underlying code of an application.

appscan-sdk

SDK for interacting with Application Security on Cloud

automate-the-loan-eligibility-process-real-time-based-on-customer

Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have given a problem to identify the customers segments, those are eligible for loan amount so that they can specifically target these customers. Here they have provided a partial data set.

bbc-new-articles-clustering-and-classification

bias-correction-of-numerical-prediction-model-temperature-forecast-data-set

bicycle-sharing-system-in-us

A bicycle-sharing system, public bicycle system, or bike-share scheme, is a service in which bicycles are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" and return it at another dock belonging to the same system. Docks are special bike racks that lock the bike, and only release it by computer control. The user enters payment information, and the computer unlocks a bike. The user returns the bike by placing it in the dock, which locks it in place. Other systems are dockless. For many systems, smartphone mapping apps show nearby available bikes and open docks.

bird-classifications-problem

Birds Classification by using Scikit-learn and Scikit-image

boman_app_cli

breast-cancer-predication

Breast cancer symptoms vary widely — from lumps to swelling to skin changes — and many breast cancers have no obvious symptoms at all. In some cases, a lump may be too small for you to feel or to cause any unusual changes you can notice on your own. Often, an abnormal area turns up on a screening mammogram (X-ray of the breast), which leads to further testing. In other cases, however, the first sign of breast cancer is a new lump or mass in the breast that you or your doctor can feel. A lump that is painless, hard, and has uneven edges is more likely to be cancer. But sometimes cancers can be tender, soft, and rounded.

breast-cancer-wisconsin-by-using-knn-model

Breast cancer wisconsin data set

carbon-dioxide-emissions-predication-of-fuelconsumption-data-sets

which contains model-specific fuel consumption ratings and estimated carbon dioxide emissions for new light-duty vehicles for retail sale in Canada

clientoclarify.github.io

Company Website

codellama

Inference code for CodeLlama models

collection-of-data

computer-vision-with-python

conda

A system-level, binary package and environment manager running on all major operating systems and platforms.

converting-image-to-array-image-processig-by-using-scikit-image-

scikit-image is a Python package dedicated to image processing, and using natively NumPy arrays as image objects. This chapter describes how to use scikit-image on various image processing tasks, and insists on the link with other scientific Python modules such as NumPy and SciPy.

covid-19-chest-x-ray

COVID-19 Chest X-Ray

covid19-ct

## Problem Statement: Coronavirus disease 2019 (COVID-19) has infected more than 1.3 million individuals all over the world and caused more than 106,000 deaths. One major hurdle in controlling the spreading of this disease is the inefficiency and shortage of medical tests. To mitigate the inefficiency and shortage of existing tests for COVID-19, we propose this competition to encourage the development of effective Deep Learning techniques to diagnose COVID-19 based on CT images. The problem in this challenge is to classify each CT image into positive COVID-19 (the image has clinical findings of COVID-19) or negative COVID-19 ( the image does not have clinical findings of COVID-19). It’s a binary classification problem based on CT images.

cv-job-matching-cv-job-matching-with-doc2vec-

cvelist

Pilot program for CVE submission through GitHub

data-analysis-with-python

In the Data Analysis with Python Certification, you'll learn the fundamentals of data analysis with Python. By the end of this certification, you'll know how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.

data-science-with-python

The Data Science with Python course provides a complete overview of Data Science analytics techniques using Python. A data scientist is one of the hottest fields today and Python is a crucial skill for many Data Science roles. Expand your Data Science knowledge with this Python certification course.

data-science-with-r

The goal of “R for Data Science” is to help you learn the most important tools in R that will allow you to do data science.