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Pradeepta Mishra is a data scientist, predictive modeling expert, deep learning and machine learning practitioner, and econometrician.

He currently leads the data science and machine learning practice for Ma Foi Analytics, Bangalore, India. Ma Foi Analytics is an advanced analytics provider for Tomorrow's Cognitive Insights Ecology, using a combination of cutting-edge artificial intelligence, a proprietary big data platform, and data science expertise.

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He holds a patent for enhancing the planogram design for the retail industry. He is a visiting faculty member at various leading B-schools and regularly gives talks on data science and machine learning. Pradeepta has spent more than 10 years solving various projects relating to classification, regression, pattern recognition, time series forecasting, and unstructured data analysis using text mining procedures, spanning across domains such as healthcare, insurance, retail and e-commerce, manufacturing, and so on.

A test will be conducted at the end of the course. Basic knowledge of data analysitcs and basic programming background with Math or Statistics background. This course comes as an ideal choice for Data Science professionals involved in complex data analytics and data mining techniques. Professionals working on Data Mining Projects can also pursue this course to help them gain an extra edge over sophisticated data mining algorithms development using R Language. Password should have length of min 8 and max 30 characters. Please follow the process to recieve password link on your Mobile Number.

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Hi User Name. Information technology R Data Mining Projects. Info Session. R Data Mining Projects This fast-paced video tutorial will help you solve predictive modeling problems using the most popular data mining algorithms through simple, practical cases. Comprehensive training through 31 video sessions. Make use of statistics and programming to understand data mining concepts and their application Use R programming to apply statistical models to data Get to know various data visualization libraries available in R to represent data.

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I have my Student ID but forgot my password. I have my Student ID but do not have password Please follow the process to recieve password link on your Mobile Number. Code loan status as a binary outcome 0 for current loans, 1 for late or default loans. Display the column names from the loan data set.

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Fit the loan data set using random forest function. Copy the trained random forest model and the confusion matrix from R and paste it below.

R Data Science Project – Uber Data Analysis

Randomly select out of loans as your training sample. Use the remaining loans as your test set. Train the 2 nd random forest model using the training set. Apply the 2 nd model to the test set to predict loan status. Compare your predictions to the true loan statuses using table function. Share this link with a friend: Copied!

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