Customer Segmentation in Python
Learn how to segment customers in Python.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn how to segment customers in Python.
In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
Learn how to detect fraud using Python.
Use your knowledge of common spreadsheet functions and techniques to explore Python!
Learn to manipulate and analyze flexibly structured data with MongoDB.
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.
Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!
Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.
Using Python and NumPy, learn the most fundamental financial concepts.
Learn how to explore, visualize, and extract insights from data.
Learn to tune hyperparameters in Python.
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.
Visualize seasonality, trends and other patterns in your time series data.
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.
Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
Learn to build recommendation engines in Python using machine learning techniques.
In this course you'll learn to use and present logistic regression models for making predictions.
Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.
Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.
Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.
Learn to design and run your own Monte Carlo simulations using Python!
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
This course is for R users who want to get up to speed with Python!
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.
Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.
Learn about experimental design, and how to explore your data to ask and answer meaningful questions.
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.