Image Modeling with Keras
Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Ariel Rokem

Hyperparameter Tuning in Python
Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Alex Scriven

Analyzing Social Media Data in Python
In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Alex Hanna

Intermediate Object-Oriented Programming in Python
Build your OOP skills with denoscriptors, multilevel inheritance, and abstract base classes!
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Jake Roach

A/B Testing in Python
Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Moe Lotfy, PhD

Feature Engineering for Machine Learning in Python
Create new features to improve the performance of your Machine Learning models.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Robert O'Callaghan

Cleaning Data with PySpark
Learn how to clean data with Apache Spark in Python.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Mike Metzger

HR Analytics: Predicting Employee Churn in Python
In this course you'll learn how to apply machine learning in the HR domain.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Hrant Davtyan

Analyzing Marketing Campaigns with pandas
Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!
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🕔 4 Hour(s)

🎓 Beginner

👨‍🏫 Jay Rosok

Improving Your Data Visualizations in Python
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Nicholas Strayer

Bayesian Data Analysis in Python
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Michał Oleszak

Foundations of Probability in Python
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.
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🕔 5 Hour(s)

🎓 Intermediate

👨‍🏫 Alexander A. Ramírez M.

Analyzing Survey Data in Python
Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are denoscriptive and inferential in nature.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 EbunOluwa Andrew

Deploying AI into Production with FastAPI
Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Matt Eckerle

Discrete Event Simulation in Python
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Python's SimPy package.
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🕔 4 Hour(s)

🎓 Advanced

👨‍🏫 Diogo Costa (PhD, MSc)

Intermediate Data Visualization with Seaborn
Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Chris Moffitt

Fraud Detection in Python
Learn how to detect fraud using Python.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Charlotte Werger

Intermediate Python for Finance
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Kennedy Behrman

Intermediate Python for Developers
Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!
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🕔 2 Hour(s)

🎓 Beginner

👨‍🏫 George Boorman

Intermediate Deep Learning with PyTorch
Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Michał Oleszak

Dealing with Missing Data in Python
Learn how to identify, analyze, remove and impute missing data in Python.
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🕔 4 Hour(s)

🎓 Intermediate

👨‍🏫 Suraj Donthi