Sentiment Analysis for Restaurant Reviews

Most of the Restaurants ask reviews to the customers and based on the reviews the restaurant can improve the customer satisfaction. So Reviews plays a vital role for the successful growth of the restaurant. The aim of this project is to predict whether the review is positive or negative. This project implemented by Natural Language Processing and Naive Bayes on Python. The dataset consists of 1000 rows and 2 columns. Review Column consist of customer …

Reinforcement Learning in Marketing Campaign

One company prepared 10 great version of the same Ad. they are not very sure which Ad is suitable to put it on the social network. They want to put the Ad that will get the maximum clicks and lead to the best Conversion Rates. The company would like to hire a data scientist to find the best strategy to find out which version of the Ad is the best for the user and which …

Customer Mall Segmentation

You have a supermarket mall and through membership cards, you have some basic data about your customers like Customer ID, age, gender, annual income and spending score. Spending Score is something you assign to the customer based on your defined parameters like customer behavior and purchasing data. By the end of this case study, you would be able to answer the below questions. 1- How to achieve customer segmentation using Machine Learning algorithm (Hierarchical Clustering) …

Prediction Of Tumor Severity

In this project, we aim to predict whether a tumor is benign or malignant. we implemented KNN on Python. The data contains the following columns: BI_RADS_assessment: Definitely benign(1) to Highly suggestive of malignancy (5) Age: patient’s age in years Shape: mass shape: round=1 oval=2 lobular=3 irregular=4 (nominal) Margin: mass margin: circumscribed=1 microlobulated=2 obscured=3 ill-defined=4 spiculated=5 (nominal) Density: mass density high=1 iso=2 low=3 fat-containing=4 (ordinal) Severity: Predictor Class: benign=0 or malignant=1 . let’s get our environment …

Prediction of Tomorrow Rain in Australia

In this project, we aim to predict whether or not it will rain tomorrow by training a Random Forest classification model on target RainTomorrow. This dataset contains daily weather observations from numerous Australian weather stations. The data contains the following columns: Date: The date of observation Location: The common name of the location of the weather station MinTemp: The minimum temperature in degrees celsius MaxTemp: The maximum temperature in degrees celsius Rainfall: The amount of rainfall recorded …

Gender Recognition By Voice

Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable. In logistic regression, the dependent variable is a binary variable that contains data coded as 1 (yes, success, etc.) or 0 (no, failure, etc.). We use Logistic Regression To predict whether an email is spam (1) or not (0), Whether the tumor is malignant (1) or not (0), To predict whether a voice/face man (1) …

Public Transport Access Points in the ​UK

In this project, we are going to visualise and analyse all the access points of public transport in Manchester. This project is focusing on spatial data using geopandas and shapely in python. we will use the Counties and Unitary Authorities (December 2016) Super Generalised Clipped Boundaries in England and Wales and also national public transport access nodes datasets which they have been provided by the UK government. checkout the below links to download datasets: Dataset1 Dataset2 let’s importing …

Prediction of Pulsar Stars

The HTRU2 dataset describes a sample of pulsar candidates collected during the High Time Resolution Universe Survey. Pulsars are a rare type of Neutron star that produce radio emission detectable here on Earth. They are of considerable scientific interest as probes of space-time, the inter-stellar medium, and states of matter . As pulsars rotate, their emission beam sweeps across the sky, and when this crosses our line of sight, produces a detectable pattern of broadband …