What You'll Learn
Comprehensive curriculum designed by industry experts
SaaS Metrics & Data
- MRR/ARR
- Churn Rate
- CAC vs LTV
- Engagement Metrics
- Time Series Data
- Feature Engineering for SaaS
Classification Models
- Logistic Regression
- Decision Trees
- Random Forests
- XGBoost/LightGBM
- Model Evaluation (ROC-AUC)
- Handling Imbalanced Data
Regression & Time Series
- Linear Regression
- Forecasting MRR
- ARIMA/Prophet
- Survival Analysis
- Customer Value Prediction
- Seasonality
Personalization
- Collaborative Filtering
- Content-based Filtering
- Hybrid Recommenders
- Segmentation (Clustering)
- Next Best Action
- Uplift Modeling
Live Projects
Build real-world applications that look great on your portfolio
Churn Prediction Engine
Build a model to flag high-risk customers before they cancel.
XGBoostPythonFlaskTypescript
Upgrade Recommender
Create a system that suggests the perfect plan upgrade for users.
Scikit-LearnPandasAPIDocker
Prerequisites
- Python skills
- Stats basics
- ML fundamentals
Career Outcomes
- Solve SaaS business problems
- Deploy predictive models
- Analyze customer behavior
- Master XGBoost/sklearn
Tools You'll Master
Scikit-LearnXGBoostProphetJupyterPython
Certification
SaaS ML Specialist Certificate
Performance-based stipend
Apply for This Internship
Start your journey with Predictive Modeling SaaS Internship