Pinned Repositories
Adopted-user-detection-Classification
We define "adopted user" as a user who has logged into the product on three separate days in at least one seven-day period
Bass-Model-Forecasting-Primary-Demand
# Bass-Model - Forecasting Primary Demand evolution. Includes simple Bass Model and Continuous Bass Model
chatbot
CompensatoryModel_with_Affinity_Customer_Segmentation
Compensatory_Model - Individuals' choice probabilities by logit rule
COVID-19-Project-Data-Cleaning-Process
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Decision-Tree-Random-Forest-regression
In this repository I will post the cases that I did for fun.
DNN_Denoise_image_with_Autoencoder
Image Restoration using Denoising Autoencoders
Examine-the-Performance-of-each-Kernel-in-SVM-Classification
In this practice I will examine the Performance of each Kernel in SVM
Fraud_detection
The primary objective of this project is to develop a robust fraud detection system that effectively predicts fraudulent activities while minimizing the occurrence of false positives. The aim is to strike a balance between fraud detection accuracy and ensuring a seamless customer experience.
Person-Detection-using-CNN
In this Project, I will be working on an image classification task using the transfer learning technique. The task objective is to determine whether an image contains a person -- a binary classification task.
FHFelix's Repositories
FHFelix/Adopted-user-detection-Classification
We define "adopted user" as a user who has logged into the product on three separate days in at least one seven-day period
FHFelix/Bass-Model-Forecasting-Primary-Demand
# Bass-Model - Forecasting Primary Demand evolution. Includes simple Bass Model and Continuous Bass Model
FHFelix/chatbot
FHFelix/CompensatoryModel_with_Affinity_Customer_Segmentation
Compensatory_Model - Individuals' choice probabilities by logit rule
FHFelix/COVID-19-Project-Data-Cleaning-Process
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
FHFelix/Decision-Tree-Random-Forest-regression
In this repository I will post the cases that I did for fun.
FHFelix/DNN_Denoise_image_with_Autoencoder
Image Restoration using Denoising Autoencoders
FHFelix/Examine-the-Performance-of-each-Kernel-in-SVM-Classification
In this practice I will examine the Performance of each Kernel in SVM
FHFelix/Fraud_detection
The primary objective of this project is to develop a robust fraud detection system that effectively predicts fraudulent activities while minimizing the occurrence of false positives. The aim is to strike a balance between fraud detection accuracy and ensuring a seamless customer experience.
FHFelix/Person-Detection-using-CNN
In this Project, I will be working on an image classification task using the transfer learning technique. The task objective is to determine whether an image contains a person -- a binary classification task.
FHFelix/FHFelix
FHFelix/G2M-insight-for-Cab-Investment-firm
FHFelix/Hitsongs-Genre-Prediction
Here I will try to preidct the genre of a song from the Top Hits Spotify from 2000-2019 datasets
FHFelix/llm-bootcamp-build-2023
FHFelix/Past-Case-1-ABTest
Using A/B test to see wheather a new strategy can achieve a higher click rate than the existing strategy.
FHFelix/Randon-Forest-Practice
Random Forest Practice
FHFelix/Ratio-Bias-Detection-in-Medical-Insurance
FHFelix/RFC-SVM-XGBoost-Classification-Accuracy-comparison
RFC, SVM and XGBoost accuracy comparison
FHFelix/SVM-Practice
FHFelix/Traffic-Analysis-LivingSpace-interiors
FHFelix/User-Segmentation-RFM_model-with-K-means
Using K-means along with RFM model to achieve user clusting based on user's Monetary,Frequency,Recency Values.
FHFelix/VC