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30-days-of-python

Learn Python for the next 30 (or so) Days.

30-seconds-of-code

Short code snippets for all your development needs

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

admission-predictor

An admission prediction tool which helps you know your probabilities of admission into a particular college.

admissions

Implemented a Simple Logistic Regression Using Admission Dataset

ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

aind_nanodegree

Udacity Artificial Intelligence Nanodegree Projects

algorithms-sedgewick-python

Algorithms(4th edition) by Robert Sedgewick and Kevin Wayne exercises in python

algs4-py

A Python library for the textbook Algorithms, 4th edition

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

andrew_ng_deep_learning

Deep Learning Specialization by Andrew Ng on Coursera.

animated-portfolio

arm-env

awesome-free-deep-learning-papers

bigdata

Just some fun with Pyspark and Big Data Technology.

bikesharing

This is a collaborative machine learning project I worked with Shraddah.

breast-cancer

Data Description Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image. n the 3-dimensional space is that described in: [K. P. Bennett and O. L. Mangasarian: "Robust Linear Programming Discrimination of Two Linearly Inseparable Sets", Optimization Methods and Software 1, 1992, 23-34]. This database is also available through the UW CS ftp server: ftp ftp.cs.wisc.edu cd math-prog/cpo-dataset/machine-learn/WDBC/ Also can be found on UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29 Attribute Information: 1) ID number 2) Diagnosis (M = malignant, B = benign) 3-32) Ten real-valued features are computed for each cell nucleus: a) radius (mean of distances from center to points on the perimeter) b) texture (standard deviation of gray-scale values) c) perimeter d) area e) smoothness (local variation in radius lengths) f) compactness (perimeter^2 / area - 1.0) g) concavity (severity of concave portions of the contour) h) concave points (number of concave portions of the contour) i) symmetry j) fractal dimension ("coastline approximation" - 1) The mean, standard error and "worst" or largest (mean of the three largest values) of these features were computed for each image, resulting in 30 features. For instance, field 3 is Mean Radius, field 13 is Radius SE, field 23 is Worst Radius. All feature values are recoded with four significant digits. Missing attribute values: none Class distribution: 357 benign, 212 malignant

chromium

The official GitHub mirror of the Chromium source

coding-interview-university

A complete computer science study plan to become a software engineer.

computer-vision-ai-saturdays

This repository contains classwork and homework for AI-Saturday Nairobi under computer vision. Good luck in finding new bugs 😀.

course-resources-ml-with-experts-budgets

Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.

coursera-test

coursera test repository

covid-19-eda

This is aimed at analyzing the covid 19 disease pandemic using Exploratory Data Analysis.

cryptozoologyapi

cv-pdf

cyrilmichino

Official Profile README

danfojs

Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.

data-science-learning

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

data_structures_and_algorithms_in_python

Find the solutions for problems and code examples of the book "Data Structures and Algorithms in Python" by Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser

dataminingpdf

This project helps understand how to mine PDFs and get organized data for analysis.