Pinned Repositories
AB-Testing
⚖️. A/B Testing comparing conversion rates between the new and old design web
Ads_CTR_Optimisation
🖱 Figure out which ad has the highest click rate
Cat_or_Dog_Prediction
🐶🐱 Build CNN to classify photos given as either containing a dog or a cat
Customer-Churn-in-Telecom
☎️ Identify customer behavior who likely to churn and make a predictive model that will classify if customer will churn or not
Customer_Churn_ANN
💸 Build a predictive model that will classify if a bank customer will churn or not
Employee_Attrition
🏢 Use machine learning to predict which employees may quit the company
graciangelica
Mall_Customers_Segmentation
🛍 The goal of this project is simply to understand customers and separate them into different groups according to their preferences
Market_Basket_Optimisation
🧺 Use apriori to predict what product the customer is going to buy next by looking at what he is buying
Restaurant_Reviews_NLP
🍝 Train machine to understand the text reviews and can predict whether it's a positive or negative review for the restaurant.
graciangelica's Repositories
graciangelica/AB-Testing
⚖️. A/B Testing comparing conversion rates between the new and old design web
graciangelica/Ads_CTR_Optimisation
🖱 Figure out which ad has the highest click rate
graciangelica/Cat_or_Dog_Prediction
🐶🐱 Build CNN to classify photos given as either containing a dog or a cat
graciangelica/Customer-Churn-in-Telecom
☎️ Identify customer behavior who likely to churn and make a predictive model that will classify if customer will churn or not
graciangelica/Customer_Churn_ANN
💸 Build a predictive model that will classify if a bank customer will churn or not
graciangelica/Employee_Attrition
🏢 Use machine learning to predict which employees may quit the company
graciangelica/graciangelica
graciangelica/Mall_Customers_Segmentation
🛍 The goal of this project is simply to understand customers and separate them into different groups according to their preferences
graciangelica/Market_Basket_Optimisation
🧺 Use apriori to predict what product the customer is going to buy next by looking at what he is buying
graciangelica/Restaurant_Reviews_NLP
🍝 Train machine to understand the text reviews and can predict whether it's a positive or negative review for the restaurant.
graciangelica/Salary_Prediction
📈. Build a regression model that will train to understand the correlation between the numbers of experience and the salary