dataaspirant-june2016-newsletter

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    Blog Posts: [1] Top 10 Machine Learning Algorithms [2] Explaining Deep Learning  [3] Wide & Deep Learning: Better Together with TensorFlow [4] Building intelligent applications with deep learning and TensorFlow [5] k-Nearest Neighbors (k-NN) [6] Hierarchical clustering [7] Access your data in Amazon Redshift and PostgreSQL with Python and R [8] Why E-Commerce Can’t Afford to Ignore Machine […]

Scala and Pyspark specialization certification courses started

Posted on Leave a commentPosted in Data Science, DATAMINING, Machine Learning, python

    Data science is a promising field, Where you have to continuously update your skill set by learning the new technique, algorithms, and newly created tools. As the learning journey never ends, we would always seek to find the best resources to start learning these new skill sets. We should be thankful for the great […]

dataaspirant-april2016-newsletter

Posted on Leave a commentPosted in Data Science, DATAMINING, Machine Learning, Newsletter, python

Blog Posts: 1. Step by step kaggle competition tutorial: In this article we are going to see how to go through a Kaggle competition step by step.The contest explored here is the San Francisco Crime Classification contest. The goal is to classify a crime occurrence knowing the time and place it happened. Read Complete Post:  datanice Blog […]

dataaspirant-march2016-newsletter

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Blog Posts: 1. Cricket survial Analysis: Survival Analysis is used in areas where the time duration of a sample of observations is analysed until an event of death occurs. Survival analysis is applied to mechanical engineering to predict systems failures and in medical sciences to predict patient outcomes. In this post I’ll be using Survival Analysis […]

python datamining packages virtual environment setup in ubuntu

Posted on 3 CommentsPosted in Data Science, DATAMINING, Machine Learning, python

virtual Environment: Virtual Environment is to create a python environment which allows using different python modules & versions, without messing up the system. let’s understand virtual environment with its need in the project development. In the world of python projects, it’s obvious to use different python libraries (wrappers) to get our work done, but It won’t […]

dataaspirant-Nov2015-newsLetter

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Blog Posts: 1. Great resources for learning data mining concepts and techniques: With today’s tools, anyone can collect data from almost anywhere, but not everyone can pull the important nuggets out of that data. Whacking your data into Tableau is an OK start, but it’s not going to give you the business critical insights you’re looking […]

DataAspirant Sept-Oct2015 newsletter

Posted on Leave a commentPosted in Big Data, Data Science, DATAMINING, Newsletter, python, R

  Hi dataaspirant lovers we are sorry for not publishing dataaspirant September  newsletter. So for October newsletter we come up with September newsletter ingredients  too. We rounded up the best blogs for anyone interested in learning more about data science. Whatever your experience level in data science or someone who’s just heard of the field,  these blogs […]

Four Coursera data science Specializations starts this month

Posted on Leave a commentPosted in Big Data, Data Science, DATAMINING, Machine Learning

Starting is the biggest step  to achieve dreams.  This is 200% true for the people how want to learn data science. The very first question comes in mind for data science beginners is Where to Start. If you  trying find the answer for this question your on the right track. You can find your answer in […]

DataAspirant August2015 newsletter

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August newsletter, We rounded up the best blogs for anyone interested in learning more about data science. Whatever your experience level in data science or someone who’s just heard of the field,  these blogs provide enough detail and context for you to understand what you’re reading. We also collected some videos too. Hope you  enjoy August dataaspirant […]

DataAspirant July2015 newsletter

Posted on Leave a commentPosted in DATAMINING

Home | About | Data scientists Interviews | For beginners | Join us | Monthly newsletter   This July newsletter our team rounded up the best blogs for anyone interested in learning more about data science. Whatever your experience level in data science or someone who’s just heard of the field  these blogs provide enough detail and context for you to understand […]

collaborative filtering recommendation engine implementation in python

Posted on 14 CommentsPosted in Data Science, DATAMINING, Machine Learning, python, Recommendation_engine

Collaborative Filtering   In the introduction post of recommendation engine, we have seen the need of recommendation engine in real life as well as the importance of recommendation engine in online and finally we have discussed 3 methods of recommendation engine. They are: 1) Collaborative filtering 2) Content-based filtering 3) Hybrid Recommendation Systems So today […]

Interview with Data science expert Kai Xin Thia, Data scientist at Lazada, Co-Founder DataScience SG

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Home | About | Data scientists Interviews | For beginners | Join us Interview with Kai Xin Thia We are excited to interview Kai Xin Thia as the first data scientist for our dataaspirant blog lovers.  He has shared some interesting things about data science. So let us see what he has shared with us. Hi Kai Xin Thia we […]

Five most popular similarity measures implementation in python

Posted on 17 CommentsPosted in DATAMINING, python, Recommendation_engine

The buzz term similarity distance measure has got a wide variety of definitions among the math and data mining practitioners. As a result, those terms, concepts and their usage went way beyond the head for the beginner , Who  started to understand them for the very first time. So today I write this post to […]

Recommendation Engine part-1

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Home | About | Data scientists Interviews | For beginners | Join us Recommendation Engine Introduction          Today we are going to start our exploration of data mining by looking at recommendation engine. People call this mixed words as a single effective word with different names like Recommendation engine, Recommendation system. What we will learn: To […]

Linear Regression Implementation in Python

Posted on 35 CommentsPosted in DATAMINING, python

Home | About | Data scientists Interviews | For beginners | Join us Linear Regression In this post i gonna wet your hands with coding part too, Before we drive further. let me show what type of  examples we gonna solve today. 1) Predicting house price for ZooZoo. ZooZoo gonna buy new house, so we have to find how much […]