Data science portfolio: Churn Prediction, Insurance Pricing, Sales Forecasting with Logistic Regression & XGBoost
Description
Are you ready to transform your data science skills and tackle real-world challenges? Welcome to “Real World Data Science Projects to Become Data Scientist,” a hands-on course designed to equip you with the knowledge and practical experience needed to excel in the field of data science.
Join our Telegram for instant 100% OFF alerts 👉 t.me/coupontex
In this course, you’ll dive deep into five comprehensive projects, each focusing on a crucial aspect of data science:
Churn Prediction Using Logistic Regression and Decision Trees: Learn to predict customer churn by implementing logistic regression and decision tree models. Understand key concepts like the confusion matrix, ROC-AUC, and the importance of evaluating model performance.
Ensemble Learning for Churn Prediction: Discover the power of ensemble learning techniques. Explore bagging, boosting, Random Forest, AdaBoost, and gradient boosting. Gain hands-on experience with model interpretation using LIME.
Insurance Price Prediction Using XGBoost: Develop and evaluate insurance pricing models. Conduct exploratory data analysis, understand correlations, and build robust models using XGBoost. Learn to interpret the results to make data-driven business decisions.
Bigmart Sales Prediction: Forecast sales for large retail stores using advanced techniques. Gain insights from real-world datasets and apply machine learning models to predict future sales accurately.
Throughout the course, you’ll work with real datasets and industry-standard tools, enhancing your practical skills. You’ll also learn to visualize data, interpret model results, and communicate insights effectively.
Join our Telegram for instant 100% OFF alerts 👉 t.me/coupontex
This course is perfect for aspiring data scientists, current professionals looking to upgrade their skills, and anyone interested in building a strong portfolio of data science projects. Basic knowledge of Python and familiarity with fundamental statistics are recommended.
Enroll now and take the first step towards mastering data science with real-world projects!
| Total Students | 22 |
|---|---|
| Duration | 5.5 hours |
| Language | English (US) |
| Original Price | |
| Sale Price | 0 |
| Number of lectures | 32 |
| Number of quizzes | 0 |
| Total Reviews | 2 |
| Global Rating | 4.75 |
| Instructor Name | Vinay Karode |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
86% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 5.5 hours
- Practical value: 8/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
- Hands On
- Practical
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Practical
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
New learners starting from zero
Reminder – Rate this 100% off Udemy Course on Udemy that you got for FREEE!!
Join our Telegram for instant 100% OFF alerts 👉 t.me/coupontex
