Data Types in Python
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Jason Myers

Analyzing Police Activity with pandas
Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Kevin Markham

Ensemble Methods in Python
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Román de las Heras

Building Recommendation Engines in Python
Learn to build recommendation engines in Python using machine learning techniques.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Robert O'Callaghan

Anomaly Detection in Python
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Bex Tuychiyev

Deep Reinforcement Learning in Python
Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Timothée Carayol

Building Chatbots in Python
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Alan Nichol

Analyzing Financial Statements in Python
Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Rohan Chatterjee

Credit Risk Modeling in Python
Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Michael Crabtree

Intermediate Network Analysis in Python
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Eric Ma

Customer Analytics and A/B Testing in Python
Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Ryan Grossman

Deep Learning for Text with PyTorch
Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Shubham Jain

Feature Engineering for NLP in Python
Learn techniques to extract useful information from text and process them into a format suitable for machine learning.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Rounak Banik