taimourmasood | 33 points | Oct 23 2017 16:51:52

Data science and machine learning are some of the top buzzwords in the technical world today. The resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This video is your entry point to machine learning. It starts with an introduction to machine learning and the Python language and shows you how to complete the necessary setup. Moving ahead, you will learn all the important concepts such as exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression, and model performance evaluation. With the help of the various projects included, you will acquire the mechanics of several important machine learning algorithms, which will no longer seem obscure. Also, you will be guided by step-by-step to build your own models from scratch. Toward the end, you will gather a broad picture of the machine learning ecosystem and master best practices for applying machine learning techniques. Throughout this course, you will learn how to handle data-driven problems and implement your solutions with the powerful yet simple Python language. Interesting and easy-to-follow examples-including news topic classification, spam email detection, online ad click-through prediction, and stock price forecasts-will keep you glued to the screen until you reach your goal. you will learn to deal with data-driven problems and implement your solutions with the powerful yet simple Python language. Interesting and easy-to-follow examples-including news topic classification, spam email detection, online ad click-through prediction, and stock price forecasts-will keep you glued to the screen until you reach your goal. you will learn to deal with data-driven problems and implement your solutions with the powerful yet simple Python language. Interesting and easy-to-follow examples-including news topic classification, spam email detection, online ad click-through prediction, and stock price forecasts-will keep you glued to the screen until you reach your goal.

Table of Contents:

• Getting Started with Python and Machine Learning

• Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms

• Spam Email Detection with Naïve Bayes

• News Topic Classification with the Support Vector Machine

• Click-Through Prediction with Tree-Based Algorithms

• Click- Through Prediction with Logistic Regression

• Stock Price Prediction with Regression Algorithms

• Best Practices

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PS: If you like that Tutorial, Make sure that you buy it on Lynda.com to support the original creator!

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