Applied Data Science with Python Specialization Certificate
This repository contains the most recent versions of all projects and peer assessments for the Applied Data Science with Python Coursera specialization.
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Manipulate data and demonstrate procedure of composit charts.
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Create insightful plots, build complex features using artist layer and add animation and interactivity to visualizations.
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Project stating a research question and visuals addressing it.
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Build and evaluate basic k-nearest neighbours classifier on a breast cancer dataset.
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Supervised Machine Learning, Part 1
Understand the strengths and weaknesses of a particular supervised learning method and apply techniques like regularization, feature scaling and cross validation to avoid common pitfalls.
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Optimize a machine learning algorithm using a specific evaluation metric appropriate for a given task.
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Supervised Machine Learning, Part 2
Projecy to determine whether a given blight ticket (fine) of property maintainance in City of Detroit will be paid on time.
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Perform text cleaning and write regular expressions to find textual patterns
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Basic Natural Language Processing
Build two spelling recommender systems based on jaccard distance and edit distance.
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Explore text message data and create a model to classify message as spam or not.
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Build a Gensim's LDA (Latent Dirichlet Allocation) model to model topics in news data and extract 10 topics.
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Construct and manipulate networks of different types using different network classes and node and edge attributes in NetworkX.
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Process and analyze an internal communication network between employees of mid-sized manufacturing company.
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Influence Measures and Network Centralization
Explore measures of centrality on two networks i.e, friendship and blog network.
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Work with a company email network and predict the probability of node receiving management level salary. Also, use the current network to predict the future connections.