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40-algorithms-every-programmer-should-know

40 Algorithms Every Programmer Should Know, published by Packt

ai-python

Python training

aipnd

Code and associated files for the AI Programming with Python Nanodegree Program

amplifyapp

apartment_rental_value_forecastusing-ai

Apartment rental value forecast using Neural networking and flask api, language python, library tensorflow, keras and scikitlearning.

atlas-server

🗺 A server for the atlas map

auth

A django application that demonstrates user authentication and permissions.

awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers

awesome-blockchain-ai

A curated list of Blockchain projects for Artificial Intelligence and Machine Learning

aws_lambda_function_api_to_s3_python

An AWS Lambda function in Python to get data from API and upload it to an S3 bucket

blockchain

Blockchain application project

computable

Repository implementing the Computable protocol

cookbook-2nd-code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

creditriskmodel

predictive model to calculate the probability of the credit risk and choose cut-off rate for default risk to provide decision support on profit-risk control

cryptobike

Bike-sharing with a side of cryptographical verification.

data-analysis-project-2

Coursera Data Analysis project 2 R scripts and Plots

datasciencecoursera

Assignment 1st week

datasciencecoursera-1

Data Science track

datasharing

The Leek group guide to data sharing

decentraland_graphql

Dashboard for Decentraland using Streamlit Python

dense-pose

Dense Pose Video and Photo

detectron2-bjj

django-api

This is a Django app that uses numerous Google APIs such as reCAPTURE, maps and waypoints

django-rest-loan-calculator

ethical-hacking

This repository contains reference material & links for people willing to learn Ethical Hacking

exploratory-data-analysis

Coursera Data Analysis Project 1

financial-stock-prediction

he project implements time series forecasting of Financial Stock Prediction of SPDR Gold Shares(GLD) from Yahoo Finance using RNN LSTM in Keras.The project is written in Python 3. Packages like tensorflow, keras and scikit-learn were used for implementation. Data visualization and processing were represented through the matplotlib packages.The aim of the project is to analyze the historical data of GLD stocks from year 2004 to year 2020 and predict the values for the next day. Stock predictions give efficient hypotheses to attain great profits.

german-credit-data

Experimental classification algorithms on german credit data implemented using scikit-learn library

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.