الرئيسية
الدورات التدريبية
تواصل معنا
الرئيسية
الدورات التدريبية
تواصل معنا
تواصل معنا
منهاج
1 Section
21 Lessons
10 Weeks
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Telecom Customer Churn Prediction
21
1.1
Understanding life-cycle of Data Science Project | intro to data Science Course
1.2
Understanding 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 “
1.5
Data Visualization to understand your Dataset | Perform EDA
1.6
” Uncovering Customer Churn Insights and Distribution Patterns “
1.7
All Features Vs Churn | ازاي اعرف السيرفيس اللي مسببة ان عملاء بتمشي
1.8
Ploty (advanced library for data visualization) – أحسن مكتبة في بايثون
1.9
How to use filter and groupby for data analysis مهم جداا
1.10
Train_test_split | how to apply Feature Scaling
1.11
Data Preprocessing | ازاي نظبط الداتا بتاعتنا علشان تكون جاهزة لبناء الموديل
1.12
Boosting Algorithm
1.13
Boosting Algorithm – GBM
1.14
GBM With Code
1.15
logistic regression
1.16
logistic regression With Code
1.17
Balancing Data | using Oversampling , Undersampling, SMOTE , ADASYN ,SMOTEENN
1.18
How to Apply SMOTE with Code
1.19
K-Means Cluster Part 1
1.20
K-Means Cluster Part 2
1.21
k-Means code
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