No Code AI and Machine Learning Specialization

Explore a sales dataset with Amazon SageMaker Canvas, clean and analyze data, apply visualization and statistical techniques, and enhance your analytical skills.

Create a predictive model to forecast TV ad revenue, improving revenue predictions based on promotional spending and optimizing marketing resource allocation for higher returns.

Build an SVM model to predict customer churn for a telecom company, improving retention strategies by analyzing demographics and usage patterns to reduce revenue loss.

Enhance sentiment analysis accuracy on social media data through text preprocessing: normalization, stemming, stop word removal, and tokenization for better insights.

Use Amazon SageMaker Canvas for data analysis and visualization. Create data flows, analyze results, and uncover patterns in machine failure to gain valuable insights.

Use DataRobot to develop and evaluate a linear regression model for predicting car prices. Analyze relationships like model, mileage, and age for accurate price predictions.

Enhance data quality with Amazon SageMaker Canvas: create data flows, filter data, handle missing values, perform feature engineering, manage outliers, and validate quality.

Use DataRobot to detect and resolve anomalies in mall customer data. Load, configure detection, identify, and fix anomalies to enhance data quality for better analysis.