-black-friday-dataset

This dataset comprises of sales transactions captured at a retail store. It’s a classic dataset to explore and expand your feature engineering skills and day to day understanding from multiple shopping experiences. This is a regression problem. The dataset has 550,069 rows and 12 columns.

500-person-gender-height-weight-body-mass-index

Gender : Male / Female Height : Number (cm) Weight : Number (Kg) Index : 0 - Extremely Weak 1 - Weak 2 - Normal 3 - Overweight 4 - Obesity 5 - Extreme Obesity

8086-microprocessor

abhiwalia15

access-phone-camera-for-opencv

If you are having problem is using your laptop webcam or you dont have a good webcam for working with OpenCV or related Computer vision projects then, Nothing to worry about because using this project source code and following the readme instructions you can use your phone came to work with OpenCV library in Python.

adaline-vs-mlp-vs-perceptron

A project to implement,analyze and compare linear Perceptron network with Adaline(adaptive Linear neuron) network and MLP(Multi layer perceptron) in R on Iris dataset.

advertising

In this project we will be working with a fake advertising data set, indicating whether or not a particular internet user clicked on an Advertisement. We will try to create a model that will predict whether or not they will click on an ad based off the features of that user.

ai-for-finance-stocks-real-time-analysis-

1. First we fetch data of stocks in realtime from nse India website, perform basis data visualizations using python to analyze the stock. 2. Then we use machine learning LSTM technique to predict the future stock price and at last create an interactive web-app using Streamlit in python.

ailab

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

alepython

Python Accumulated Local Effects package

alien-invasion

My first game written in python language using pygame.

analysis-of-indian-economy-using-shiny

This economics project mainly aims at studying and analyzing the Indian economic conditions over time, using various economic indicators from the data downloaded from World Bank.

analyzing-corona-virus-spread

2019 Novel Coronavirus (COVID-19) is a virus (more specifically, a coronavirus) identified as the cause of an outbreak of respiratory illness first detected in Wuhan, China. Early on, many of the patients in the outbreak in Wuhan, China reportedly had some link to a large seafood and animal market, suggesting animal-to-person spread. However, a growing number of patients reportedly have not had exposure to animal markets, indicating person-to-person spread is occurring. At this time, it’s unclear how easily or sustainably this virus is spreading between people

analyzing-global-seismic-activities

Significant Earthquakes from 1965-2016 and Date, time, and location of all earthquakes with magnitude of 5.5 or higher.

analyzing-global-terrorist-activities

Analyzing the Global Terrorism and all the Terrorist activities that took place in the world from 1970-2015

analyzing-r-users-worldwide-2019

Stackoverflow recently released the anonymized results of their 2019 annual developer survey. The goal of this project is to analyse various trends for R users .

analzying-inflation-rates-worldwide

This project will aim at studying and analyzing the inflation rates of countries globally. The dataset is a public dataset downloaded from International Monetary Fund(IMF) which consists of the inflation rates of countries from 1980 to 2017 and the projected inflation rates of the countries till 2022. Finally I will be producing a dashboard build in R to visualize and analyze the inflation rates.

android-vision

Sample code for the Android Mobile Vision API.

api-demos-python

Python client scripts for Facesoft API

arcade

Easy to use Python library for creating 2D arcade games.

attendance-using-face

Face-recognition using Siamese network

autokeras

accessible AutoML for deep learning.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

bank-authentication

We'll use the Bank Authentication Data Set from the UCI repository. The data consists of 5 columns: variance of Wavelet Transformed image (continuous) skewness of Wavelet Transformed image (continuous) curtosis of Wavelet Transformed image (continuous) entropy of image (continuous) class (integer) Where class indicates whether or not a Bank Note was authentic. This sort of task is perfectly suited for Neural Networks and Deep Learning! Just follow the instructions below to get started!

big-data-analysis-of-job-trends-in-usa

The H-1B is an employment-based, non-immigrant visa category for temporary foreign workers in the United States. For a foreign national to apply for H1-B visa, an US employer must offer a job and petition for H-1B visa with the US immigration department. This is the most common visa status applied for and held by international students once they complete college/ higher education (Masters, PhD) and work in a full-time position.

bodyposeestimationandroid

🙋‍♂️Use Body Pose Estimation to perform pose matching on Android

bokeh

Interactive Web Plotting for Python

breast-cancer-classification-in-tensorflow

build-an-ai-startup-with-pytorch

test

building-a-baseline-convolutional-autoencoder-network-for-image-denoising-on-fashion-mnist-dataset

We will build a simple baseline autoencoder model using TensorFlow and the CNN network. Then we will use this network on the FASHION MNIST dataset to show our results and accuracy. We will evaluate our model using a simple CNN network to show how our autoencoder model performs better than a stand-alone CNN model.