Kaggle Courses

Pandas

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Solve short hands-on challenges to perfect your data manipulation skills.You can't work with data if you can't read it. Get started here.Pro data scientists do this dozens of times a day. You can, too!Extract insights from your data.Scale up your level of insight. The more complex the dataset, the more this mattersDeal with the most common progress-blocking problemsData comes in from many sources. Help it all make sense together

Advanced SQL

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Take your SQL skills to the next level.Combine information from multiple tables.Perform complex calculations on groups of rows.Learn to query complex datatypes in BigQuery.Write queries to run faster and use less data.

Intermediate Machine Learning

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Handle missing values, non-numeric values, data leakage, and more.Review what you need for this course.Missing values happen. Be prepared for this common challenge in real datasets.There's a lot of non-numeric data out there. Here's how to use it for machine learning.A critical skill for deploying (and even testing) complex models with pre-processing.A better way to test your models.The most accurate modeling technique for structured data.Find and fix this problem that ruins your model in subtle ways.

Intro to SQL

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Learn SQL for working with databases, using Google BigQuery.Learn the workflow for handling big datasets with BigQuery and SQLThe foundational compontents for all SQL queriesGet more interesting insights directly from your SQL queriesOrder your results to focus on the most important data for your use case.Organize your query for better readability. This becomes especially important for complex queries.Combine data sources. Critical for almost all real-world data problems

Intro to Deep Learning

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Use TensorFlow and Keras to build and train neural networks for structured data.Learn about linear units, the building blocks of deep learning.Add hidden layers to your network to uncover complex relationships.Use Keras and Tensorflow to train your first neural network.Improve performance with extra capacity or early stopping.Add these special layers to prevent overfitting and stabilize training.Apply deep learning to another common task.Get started with Tensor Processing Units (TPUs)!

Geospatial Analysis

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Create interactive maps, and discover patterns in geospatial data.Get started with plotting in GeoPandas.It's pretty amazing that we can represent the Earth's surface in 2 dimensions!Learn how to make interactive heatmaps, choropleth maps, and more!Find locations with just the name of a place. And, learn how to join data based on spatial relationships.Measure distance, and explore neighboring points on a map.Create an interactive COVID-19 vaccine tracker.

Time Series

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Apply machine learning to real-world forecasting tasks.Use two features unique to time series: lags and time steps.Model long-term changes with moving averages and the time dummy.Create indicators and Fourier features to capture periodic change.Predict the future from the past with a lag embedding.Combine the strengths of two forecasters with this powerful technique.Apply ML to any forecasting task with these four strategies.

Python

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Learn the most important language for data science.A quick introduction to Python syntax, variable assignment, and numbersCalling functions and defining our own, and using Python's builtin documentationUsing booleans for branching logicLists and the things you can do with them. Includes indexing, slicing and mutatingFor and while loops, and a much-loved Python feature: list comprehensionsWorking with strings and dictionaries, two fundamental Python data typesImports, operator overloading, and survival tips for venturing into the world of external librariesMake your first submission to a Kaggle competition!

Intro to AI Ethics

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Explore practical tools to guide the moral design of AI systems.Learn what to expect from the course.Design systems that serve people’s needs. Navigate issues in several real-world scenarios.Bias can creep in at any stage in the pipeline. Investigate a simple model that identifies toxic text.Learn about four different types of fairness. Assess a toy model trained to judge credit card applications.Increase transparency by communicating key information about machine learning models.

Feature Engineering

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Better features make better models. Discover how to get the most out of your data.Learn the steps and principles of creating better featuresLocate features with the most potential.Transform features with Pandas to suit your model.Untangle complex spatial relationships with cluster labels.Discover new features by analyzing variation.Boost any categorical feature with this powerful technique.Apply what you've learned, and join the House Prices competition!

Intro to Machine Learning

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Learn the core ideas in machine learning, and build your first models.The first step if you're new to machine learning.Load and understand your data.Building your first model. Hurray!Measure the performance of your model, so you can test and compare alternatives.Fine-tune your model for better performance.Using a more sophisticated machine learning algorithm.Enter the world of machine learning competitions to keep improving and see your progress.

Data Visualization

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Make great data visualizations. A great way to see the power of coding!Your first introduction to coding for data visualizationVisualize trends over timeUse color or length to compare categories in a datasetLeverage the coordinate plane to explore relationships between variablesCreate histograms and density plotsCustomize your charts and make them look snazzyPractice for real-world applicationHow to put your new skills to use for your next personal or work project

Computer Vision

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Build convolutional neural networks with TensorFlow and Keras.Create your first computer vision model with Keras.Discover how convnets create features with convolutional layers.Learn more about feature extraction with maximum pooling.Explore two important parameters: stride and padding.Design your own convnet.Boost performance by creating extra training data.Use Kaggle's free TPUs to make a submission to the Petals to the Metal competition!Use Kaggle's free TPUs to make a submission to the Cassava Leaf Disease Classification competition.