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Machine Learning Project Predict Will it Rain Tomorrow in Australia - Projects Based Learning

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In this project we will be working with a data set, indicating whether it rain the next day in Australia, Yes or No? This column is Yes if the rain for that day was 1mm or more. We will try to create a model that will predict using the available data. Welcome to this project on predict whether it will rain tomorrow in Australia in Apache Spark Machine Learning using Databricks platform community edition server which allows you to execute your spark code, free of cost on their server just by registering through email id. In this project, we explore Apache Spark and Machine Learning on the Databricks platform.


Glass Identification - Projects Based Learning

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From USA Forensic Science Service; 6 types of glass; defined in terms of their oxide content (i.e. The study of the classification of types of glass was motivated by the criminological investigation. At the scene of the crime, the glass left can be used as evidence…if it is correctly identified! Convert String data to Numeric format so we can process the data in Apache Spark ML Library. Welcome to this project on predicting the type of Glass in Apache Spark Machine Learning using Databricks platform community edition server which allows you to execute your spark code, free of cost on their server just by registering through email id.


Predicting the Cellular Localization Sites of Proteins in Yest - Projects Based Learning

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Convert String data to Numeric format so we can process the data in Apache Spark ML Library. Welcome to this project on predicting the Cellular Localization Sites of Proteins in Yest in Apache Spark Machine Learning using Databricks platform community edition server which allows you to execute your spark code, free of cost on their server just by registering through email id. In this project, we explore Apache Spark and Machine Learning on the Databricks platform. I am a firm believer that the best way to learn is by doing. That's why I haven't included any purely theoretical lectures in this tutorial: you will learn everything on the way and be able to put it into practice straight away.


Machine Learning Project on Sales Prediction or Sale Forecast - Projects Based Learning

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It is easier for established companies to predict future sales based on years of past business data. Newly founded companies have to base their forecasts on less-verified information, such as market research and competitive intelligence to forecast their future business. Sales forecasting gives insight into how a company should manage its workforce, cash flow, and resources. In addition to helping a company allocate its internal resources effectively, predictive sales data is important for businesses when looking to acquire investment capital. Sales forecasting allows companies to: Predict achievable sales revenue; Efficiently allocate resources; Plan for future growth. In this project, looking at the various Stores Sales around the world are tasked with predicting their daily sales in advance.


Predicting Breast Cancer Using Apache Spark Machine Learning Logistic Regression

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Let's go through an example of Cancer Tissue Observations: Logistic regression is a popular method to predict a binary response. It is a special case of Generalized Linear models that predicts the probability of the outcome. Logistic regression measures the relationship between the Y "Label" and the X "Features" by estimating probabilities using a logistic function. The model predicts a probability which is used to predict the label class. Our data is from the Wisconsin Diagnostic Breast Cancer (WDBC) Data Set which categorizes breast tumor cases as either benign or malignant based on 9 features to predict the diagnosis.