Course Features
- Lectures 21
- Quiz 0
- Duration 10 weeks
- Skill level All levels
- Language English
- Students 0
- Assessments Yes
منهاج
- 1 Section
- 21 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Telecom Customer Churn Prediction21
- 1.1Understanding life-cycle of Data Science Project | intro to data Science Course
- 1.2Understanding Dataset and Performing Data Wrangling to be ready for analysis !
- 1.3” Detecting Outliers using Boxplots & IQR and Identifying Duplicates in Data “
- 1.4” Master Feature Engineering: Transform Your Data for Better Insights “
- 1.5Data Visualization to understand your Dataset | Perform EDA
- 1.6” Uncovering Customer Churn Insights and Distribution Patterns “
- 1.7All Features Vs Churn | ازاي اعرف السيرفيس اللي مسببة ان عملاء بتمشي
- 1.8Ploty (advanced library for data visualization) – أحسن مكتبة في بايثون
- 1.9How to use filter and groupby for data analysis مهم جداا
- 1.10Train_test_split | how to apply Feature Scaling
- 1.11Data Preprocessing | ازاي نظبط الداتا بتاعتنا علشان تكون جاهزة لبناء الموديل
- 1.12Boosting Algorithm
- 1.13Boosting Algorithm – GBM
- 1.14GBM With Code
- 1.15logistic regression
- 1.16logistic regression With Code
- 1.17Balancing Data | using Oversampling , Undersampling, SMOTE , ADASYN ,SMOTEENN
- 1.18How to Apply SMOTE with Code
- 1.19K-Means Cluster Part 1
- 1.20K-Means Cluster Part 2
- 1.21k-Means code
