Pinned Repositories
AB_Testing
A/B testing is used for which application is effective for target group.
Association-Rule-Learning
Recommendation system is discussed by the help of Association Rule Learning with ARMUT website
Customer-Lifetime-Value-Prediction-
Customer Lifetime Value Prediction
Customer-Segmentation
Diamonds
Diamond_Rihanna
Feature-Examination-What-an-essential-feature--
In ML, feature has an important role in the assessment of your model. It is a critical point that which feature is important for us or how we can vary our modeling based on features . By implementing new ones, new patterns or new variable relations can be provided resulting in boosting machine learning algorithms efficiency.
neyaziyonanacim
Config files for my GitHub profile.
Rating-Product---Sorting-Reviews-in-Amazon
This project is about sorting reviews and rating products in Amazon
Telco_Churn_Analysis
Machine Learning and Churn Prediction. Starting with dataset understanding and exploratory data analysis covering data manipulation , cleaning and creating relevant new features from raw data. Subsequently, examination of model establishment , hyperparameter optimization and model validation. Finally, model comparison and assessment session
User---Item-Based-Recommendation-System
Hybrid Recommendation System
neyaziyonanacim's Repositories
neyaziyonanacim/Diamonds
Diamond_Rihanna
neyaziyonanacim/AB_Testing
A/B testing is used for which application is effective for target group.
neyaziyonanacim/Customer-Lifetime-Value-Prediction-
Customer Lifetime Value Prediction
neyaziyonanacim/Feature-Examination-What-an-essential-feature--
In ML, feature has an important role in the assessment of your model. It is a critical point that which feature is important for us or how we can vary our modeling based on features . By implementing new ones, new patterns or new variable relations can be provided resulting in boosting machine learning algorithms efficiency.
neyaziyonanacim/neyaziyonanacim
Config files for my GitHub profile.
neyaziyonanacim/Rating-Product---Sorting-Reviews-in-Amazon
This project is about sorting reviews and rating products in Amazon
neyaziyonanacim/Telco_Churn_Analysis
Machine Learning and Churn Prediction. Starting with dataset understanding and exploratory data analysis covering data manipulation , cleaning and creating relevant new features from raw data. Subsequently, examination of model establishment , hyperparameter optimization and model validation. Finally, model comparison and assessment session
neyaziyonanacim/User---Item-Based-Recommendation-System
Hybrid Recommendation System
neyaziyonanacim/Association-Rule-Learning
Recommendation system is discussed by the help of Association Rule Learning with ARMUT website
neyaziyonanacim/Customer-Segmentation
neyaziyonanacim/Customer_Churn_ML
Telco Customer Churn Classification
neyaziyonanacim/Predictive-Analysis
neyaziyonanacim/Test