Big Data Analysis using MapReduce, Mahout and python
Presupuesto $30-250 USD
Job Description:
given a dataset and using only MapReduce framework and python, find the following:
• The difference between the maximum and the minimum for each day in the month
• The daily minimum
• the daily mean and variance
• the correlation matrix that describes the monthly correlation among set of columns
Using Mahout and python, do the following:
• Implement the K-Means clustering algorithm
• Find the optimum number (K) of clusters for the K-mean clustering
• Plot the elbow graph for K-mean clustering
• Compare the different clusters you obtained with different distance measures
8 freelancers están ofertando un promedio de $165 por este trabajo
Hello, I hope this finds you well. I have just seen your project requiring; Python Hadoop Map Reduce Big Data I believe that my 10-year experience in this field is what you need right away. Avoid the headache of looki Más
Hello I am a professional programmer with rich experiences with hadoop, c/c++/c#,java,python and javascript. I have read your bigdata analysis description. I understand your requirement and am full of confidence since Más
MASTERS IN SOFTWARE DEVELOPMENT AND ARCHITECTURE. EXPERT IN Python Hadoop Map Reduce Big Data Hi there! Thank you for sharing your project requirement, I have carefully read the project description and I would like to Más
Hi I am working as big data developer. with 7 + years of experience at Apple. I have heavily used Map reduce and machine learning in my projects. I have worked on k-mean algorithm in my previous projects. we can discus Más
