ML for Analytics
Apply ML to business analytics — predictive models, A/B testing, churn prediction.
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After this skill you can…
- Build a churn prediction model
- Design and analyse an A/B test correctly
- Explain LTV and attribution models
Prerequisites
Watch (10 videos)
Forecasting with the FB Prophet Model
→ Build time series forecasting models with Prophet→ Use Python for data analytics
Analytics in 15: Building the World's Largest Games with AWS Data Streaming- AWS Analytics in 15
→ Build analytics applications using AWS Data Streaming→ Collect and utilize streaming data for gaming industry
AI/BI Driving Speed to Value in Supply Chain
→ Build AI-powered supply chain analytics solutions→ Integrate machine learning models into business intelligence platforms
Build Predictive Analytics in Tableau Using Machine Learning Models Deployed on Amazon SageMaker
→ Deploy ML models on Amazon SageMaker→ Integrate ML models with Tableau
Stock Prediction Web App In Python In 60 Seconds! #Shorts
→ Build a stock prediction model using FBProphet→ Create a web app with Streamlit
R Tutorial: Fitting and interpreting a choice model
→ Fit a choice model in R→ Interpret choice model results
Machine Learning Tutorial Python - 13: K Means Clustering Algorithm
→ Cluster data points using K-Means→ Determine optimal number of clusters
Sentiment Analysis in Python with TextBlob and VADER Sentiment (also Dash p.6)
→ Analyze sentiment with TextBlob→ Use VADER Sentiment for text analysis
Analytics in 15: Event Detection with Amazon MSK and Kinesis Data Analytics- AWS Analytics in 15
→ Build a stream processing application→ Detect events in real-time
R Tutorial : Displaying results with ggplot
→ Visualize topic modeling results with ggplot→ Apply topic modeling techniques in R
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