Advanced Deep Learning with Keras
Learn how to develop deep learning models with Keras.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Learn how to develop deep learning models with Keras.
Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.
Learn how to segment customers in Python.
Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.
In this course youll learn how to leverage statistical techniques for working with categorical data.
Learn to create, secure, and manage APIs with Azure API Management through hands-on practice.
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.
Learn efficient techniques in pandas to optimize your Python code.
This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.
In this course youll learn techniques for performing statistical inference on numerical data.
Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.
Learn how to set up and manage your Microsoft Fabric infrastructure.
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.
Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.
Build AI teams that work together, automate workflows, and generate content with CrewAI.
Learn to analyze Airbnb data using SQL in Databricks, create dashboards, and derive actionable insights.
Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.
Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
Learn how to efficiently collect and download data from any website using R.
Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.
Learn the bag of words technique for text mining with R.
Learn how to access financial data from local files as well as from internet sources.
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.
Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.
Learn how to produce interactive web maps with ease using leaflet.
Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.
Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.
Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).