Machine Learning with Python

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Data Science, Deep Learning, & Machine Learning with Python
Go hands-on with the latest neural network, artificial intelligence, and data science techniques employers are seeking!

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 ⭐️⭐️⭐️⭐️   4.5 (6,375 ratings)
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⏱⏱⏱⏱ .  12 hours on-demand video
Created by Sundog Education by Frank Kane, Frank Kane
Last updated 9/2017
 English

What Will I Learn?

• Develop using iPython notebooks
• Understand statistical measures such as standard deviation
• Visualize data distributions, probability mass functions, and probability density functions
• Visualize data with matplotlib
• Use covariance and correlation metrics
• Apply conditional probability for finding correlated features
• Use Bayes' Theorem to identify false positives
• Make predictions using linear regression, polynomial regression, and multivariate regression
• Understand complex multi-level models
• Use train/test and K-Fold cross validation to choose the right model
• Build a spam classifier using Naive Bayes
• Use decision trees to predict hiring decisions
• Cluster data using K-Means clustering and Support Vector Machines (SVM)
• Build a movie recommender system using item-based and user-based collaborative filtering
• Predict classifications using K-Nearest-Neighbor (KNN)
• Apply dimensionality reduction with Principal Component Analysis (PCA) to classify flowers
• Understand reinforcement learning - and how to build a Pac-Man bot
• Clean your input data to remove outliers
• Implement machine learning, clustering, and search using TF/IDF at massive scale with Apache Spark's MLLib
• Design and evaluate A/B tests using T-Tests and P-Values

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