ndondji Goto Github PK

12-months-worth-of-sales-data

avocado-prices-prediction

bi-absenteeism-at-work

Calculation of potential absenteeism of workers at work!

car-purchase-amount-predictions-using-anns

You are working as a car salesman and you would like to develop a model to predict the total dollar amount that customers are willing to pay given the following attributes: Customer Name Customer e-mail Country Gender Age Annual Salary Credit Card Debt Net Worth The model should predict: Car Purchase Amount

chicago_crimes_2005_to_2007

The Chicago Crime dataset contains a summary of the reported crimes occurred in the City of Chicago from 2001 to 2017.

cifar-10-images-classification-using-cnns

classification-of-dog-breeds

In this project we're going to be using machine learning to help us identify different breeds of dogs.

computer-vision

Evaluation of pigs sleeping habit (every 100th data point)

crime-prediction-in-chicago

data-science-job-market-analysis

Extracted 1000 recent Data scientist jobs from the job portal using scraping to analyze the current job market trends for Data science.

dg4

fouling-data

Effect of temperature and type of floor on pigs' lying behavior

heart-disease-classification

life-expectancy-engine

Displaying life expectancy comparing different continents

machine-learning-model-building-pipeline-data-analysis

In the following project, I am working on a practical example of each one of the steps in the Machine Learning model building pipeline.---> Predicting Sale Price of Houses

movie-recommender-system

predicting-price

How well can we predict the future sale price of a bulldozer, given its characteristics and previous examples of how much similar bulldozers have been sold for?

repl_it

spam-classifier-using-naive-bayes

The SMS Spam Collection is a set of SMS tagged messages that have been collected for SMS Spam research. It contains one set of SMS messages in English of 5,574 messages, tagged acording being ham (legitimate) or spam. The files contain one message per line. Each line is composed by two columns: v1 contains the label (ham or spam) and v2 contains the raw text.

traffic-sign-classification-using-lenet-network-in-keras

- In this case study, you have been provided with images of traffic signs and the goal is to train a Deep Network to classify them - The dataset contains 43 different classes of images.

wpf_forfun

yelp-reviews-classification