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‘Machine Learning’ Archives

Loading External Data into Scikit lear AKA SKLEARN

Loading External Data into Scikit lear AKA SKLEARN

Scikit learn comes with some toy datasets such as iris. We can load these with from sklearn import neighbors, datasets iris = datasets.load_iris() print(iris) However if we try to load any other external, for example I downloaded the wines data from we have to We have to import pandas into SKlearn and then use the following [...]

Full Titanic Example with Random Forest

Full Titanic Example with Random Forest

I found this presentation of Random Forest quite well explained and learned the parameters tuning of optimizing the model as well as Reducing dimensions. That is fairly simple example but helpful in directing us to more advancxed features. Enjoy..

Advanced Machine Learning with scikit-learn

Advanced Machine Learning with scikit-learn

An excellent present on some advanced features of Scikit Learn. This video explore an d present the example on Handwritten digit classification using SVM , Find best best parameters using grid search. This Video also explored doing machine learning on computer network. Lastly a great exaple on Text Data. I selected this video based clarity, easy [...]

Excellent presentation on how to perform predictive analytics on text data. It was presented in Pycon 2016. In this video an example on how to identify spam using Naive Base and regression analysis are used. Very clear presentation by Kevin Markham, Enjoy...Although numeric data is easy to work with in Python, most knowledge created by humans is [...]

Can Machine Learning Decode Depression?

Can Machine Learning Decode Depression?

An interesting article published in Huffington post by Arshya Vahabzadeh, M.D. Harvard Trained Subspecialist Psychiatrist. Director & Researcher, Brain Power. Academic Faculty, Massachusetts General Hospital. Chair, Council on Communications, American Psychiatric Association. Machine learning already being utilised in healthcare and have [...]

Machine Learning Algorithm Dev Opportunity in Toronto Canada

Machine Learning Algorithm Dev Opportunity in Toronto Canada

Our client is a well-established leader in online sports gaming with a Technical Centre of Excellence at Yonge and Sheppard. They need an Machine Learning Algorithm Developer. You must be available to spend 1-2 months in Curacao (in the Caribbean) to receive extensive training about sports gaming domain. Of course all your expenses will be paid [...]

Data Munging with Pandas – John Fries, CTO, OpenMail

Data Munging with Pandas – John Fries, CTO, OpenMail

An excellent video on Data munging. The good thing about this video is that it attempted to compare SQL Pandas Python, which is very very helpful for people working in SQL Data Bases. Data munging skills are the keys to the data analysis kingdom. In this talk John Fries covers fundamental data munging techniques using the Pandas library and [...]

A Gentle Introduction To Machine Learning; SciPy 2013 Presentation

A Gentle Introduction To Machine Learning; SciPy 2013 Presentation

This talk will be an introduction to the root concepts of machine learning, starting with simple statistics, then working into parameter estimation, regression, model estimation, and basic classification. These are the underpinnings of many techniques in machine learning, though it is often difficult to find a clear and concise explanation of [...]

Data Engineering

Data Engineering

Data Engineering an essential part of predictive analytics, involves cleaning the data into numerical or categorical features that describe useful attribute of data. Data engineering often involves data operations such as Joins, group by clause, sort or indexing. Modern Machine learning require statistical features for example count of unique [...]

7 Free or Cheap Ways to Learn Data Science

7 Free or Cheap Ways to Learn Data Science

We all know data science is an important (and growing) field, but most of us don’t have the time or money to study it full-time at a university. But take heart: We’ve found seven free or inexpensive options for data science training. Many of these are high-level, theoretical courses, not specific programs to train you on data science tools. [...]

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