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advanced-machine-learning-specialization

Advanced Machine Learning Specialization on Coursera

algorithms

Simple algorithms

algorithmsanddatastructure

Algorithms And DataStructure Implemented In Python & CPP, Give a Star 🌟If it helps you

breastcanceranalysis

It creates machine learning model that predict whether the person will suffer from breast cancer or not.

clinical-decision-support-using-machine-learning

Predicting the Stage of Breast Cancer - M (Malignant) and B (Benign) using different Machine learning models and comparing their performance.

clustering-geo-location-dbscan

lustering is one of the major data mining methods for knowledge discovery in large databases. It is the process of grouping large data sets according to their similarity. Cluster analysis is a major tool in many areas of engineering and scientific applications including data segmentation, discretization of continuous attributes, data reduction, outlier detection, noise filtering, pattern recognition and image processing

coursera-applied-data-science-capstone

Peer-Graded Assignment: Capstone Project Notebook | Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.

data-science-analysis

This repo generalizes the projects of our club done in field of data science.

de-biasing-facial-recognition-systems-

Recent research has highlighted the vulnerabilities of modern machine learning based systems to bias, especially towards segments of society that are under-represented in training data. In this project, we develop a novel, tunable algorithm for mitigating the hidden, and potentially unknown, biases within training data. Our algorithm fuses the original learning task with a variational autoencoder to learn the latent structure within the dataset and then adaptively uses the learned latent distributions to re-weight the importance of certain data points while training. While our method is generalizable across various data modalities and learning tasks, in this work we use our algorithm to address the issue of racial and gender bias in facial detection systems. We evaluate our algorithm on the Pilot Parliaments Benchmark (PPB), a dataset specifically designed to evaluate biases in computer vision systems, and demonstrate increased overall performance as well as decreased categorical bias with our debiasing approach.

hacktoberfest2020-contributions

A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨

iris

iris_dataset_analysis

This Dataset has five features which are Petal Length, Petal Width, Sepal Length, Sepal Width and Species Type.And analysis is done on the dataset.

machine-learning-with-python

Python code for common Machine Learning Algorithms

morse-code-encryter-decrypter

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

open-algorithms

rajatpanchotia

snippets

testarraylist1

test ARRAY LIST

the-complete-python-course-learn-python-by-doing

wine_quality_analysis

The following notebook contains the steps enumerated below for analyzing characteristics of red and white variants of the Portuguese "Vinho Verde" wine. Quality is based on sensory scores (median of at least 3 evaluations made by wine experts). Each expert graded the wine quality between 0 (very bad) and 10 (very excellent).