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best_classifier

Classification models are used on a same data set to check accuracy of different models.

co2-emission-estimator

customer-churn

Here is a historical customer data set of a telecommunication company where each row represents one customer. So the focus of this analysis is to predict the customers who will stay with the company.

datascientist

exploratory-data-analysis

fish_prediction

This dataset is a record of 7 common different fish species in fish market sales. With this dataset, a predictive model can be performed using machine friendly data and species of fish can be predicted.

html5_css

human-cell-category

The dataset consists of several hundred human cell sample records, each of which contains the values of a set of cell characteristics. Data is used here to predict to which category does the cell belong.

human_activity_recognition

Human Activity Recognition database built from the recordings of 30 subjects performing activities of daily living (ADL) while carrying a waist-mounted smartphone with embedded inertial sensors.

image_classification

Here is a Neural Network model to solve a basic image classification problem.

portal

Systers Portal for communities

pydatastructs

A python package for data structures

titanic_exploration

We're using dataset to predict the survival on Titanic.

traffic_sign_classification

In this project, CNN model is build to classify Traffic Sign Images. The dataset contains 43 classes. Images are of 32 x 32 pixels.

tweetemotionrecognition

Created a recurrent neural network and trained it on a tweet emotion dataset to learn to recognize emotions in tweets. The dataset has thousands of tweets each classified in one of 6 emotions. This is a multi class classification problem in the natural language processing domain.