ismetgocer1

-Flower-Classification-with-ANN-CNN-Models-and-Deployment-on-Streamlit

In this project, images of 3 flowers were analyzed with dozens of CNN models and the best model with accuracy = 1 was deployed using Streamlit

Adult_Income_Prediction_Using-Machine_Learning_Algorithms

Amazon-Product-Recommendation

In this project, we have attempted to increase sales for customers shopping on Amazon by recommending products that can be purchased together with their chosen item.

CNN_Image_Detection_Analysis_for_Malaria

EmKa-Project-10-Different-Classification-Machine-Learning-Models-Together-

Flowers_Image_Recognation_Using_9_Transfer_Learnig_Methods

3700 images of 5 types of flowers were analyzed with manual CNN and Transfer Learning algorithms VGG16, Resnet152, EfficientNetV2B2, InceprionV3, XCeption, MobilNetV2, DenseNet, NasNet and ConvNeXtTiny.

Image_and_Video_Processing_via_OpenCV

Images and videos were processed using OpenCV Library. BRG to RGB conversions were performed. Face detection, mouth and eye tracking, and emotion detection were performed

Model_Deployment_with_Streamlit

In this project, images of 3 flowers were analyzed with dozens of CNN models and the best model with accuracy = 1 was deployed using Streamlit.

Price_Optimisation_Machine_Learning

Price_Optimisation_Machine_Learning

Time-Spent-Bill-Amount-Analysis-of-Restaurants

In this project, we analysed the time spent and bill amount relationship of customers in the restaurant. We applied 12 ML, and 1 ANN model and deployed them on Streamlit.

ismetgocer1/Price_Optimisation_Machine_Learning

Price_Optimisation_Machine_Learning

ismetgocer1/-Flower-Classification-with-ANN-CNN-Models-and-Deployment-on-Streamlit

In this project, images of 3 flowers were analyzed with dozens of CNN models and the best model with accuracy = 1 was deployed using Streamlit

ismetgocer1/Adult_Income_Prediction_Using-Machine_Learning_Algorithms

ismetgocer1/Amazon-Product-Recommendation

In this project, we have attempted to increase sales for customers shopping on Amazon by recommending products that can be purchased together with their chosen item.

ismetgocer1/Amazon-Topseller-Keepa-Streamlit

In this project, we identified factors affecting sales for 26 top-selling dropshipping companies on Amazon, using Keepa reports. We presented the results to the company executives through a visualization deployed on Streamlit, offering a live demonstration.

ismetgocer1/Car-Speed-Estimation-and-Car-Tracking

ismetgocer1/Computer-Vision-E-Commerge-Product-Recognition-Project

We prepared a Product Recognition project for an Amazon dropshipping company from the US by using MakeSense, Roboflow, YOLOv8, and Google Colab. Our model can recognize goods on images and video with 98% accuracy.

ismetgocer1/Customer_Feedback_Sentiment_Analysis_Using_NLP-Deep_Learning

Customer Feedback Sentiment Analysis for an E-Commerce Company from Turkey - Using NLP & Deep Learning

ismetgocer1/Deep-Learning-Amazon-Product-Recognition-Project

In this project, 10 different Deep Learning algorithms were used to determine the subcategories of products sold on Amazon. The 3 fastest running algorithms were deployed via Streamlit.

ismetgocer1/Flower_Detection_Using_10_Transfer_Learning_Model

Flowers detected using manuel CNN, VGG16, ResNet152, EfficientNetV2S, InceptionV3, XCeption, MobiNet, DenseNet, NsNet and ConvNextTiny from Transfer Learning methods. ConNextTiny was able to recognize flowers with 99% accuracy.

ismetgocer1/Flowers-classification-deployed-on-streamlit

ismetgocer1/Flowers_Image_Recognation_Using_10_Transfer_Learnig_Methods

I applied manuel CNN, VGG16, ResNet152, EfficientNetV2S, InceptionV3, XCeption, MobiNet, DenseNet, NsNet and ConvNextTiny from Transfer Learning methods for Flowers detection among 5 classes. ConNextTiny was able to recognize flowers with 99% accuracy.

ismetgocer1/ismetgocer

ismetgocer1/NLP-Sentiment-Analysis-and-Deployment-on-Streamlit-and-AWS

I applied Sentiment Analysis with NLP - Machine Learning - Deep Learning and BERT Transformers methods and deployed on Streamlit and AWS

ismetgocer1/PowerBI-

In this project, we prepared a PowerBI dashboard using the data of an e-commerce company that does Amazon Dropshipping in the USA. This interactive PowerBI will be very beneficial for anyone who wants to improve themselves in this field.

ismetgocer1/Price-Optimisation-Streamlit-Deployment

I prepared price optimisation Machine Learning model and deployed on Streamlit. Streamlit draws info from this repository.

ismetgocer1/Price-Quanitiy-Relationship-by-Using-Machine-Learning-and-Streamlit

In this project I analsed price-quanitiy relationship by using Machine Learning and Streamlit. I has a good ML algorithm and deployment on Streamlit.

ismetgocer1/streamlit_deneme

ismetgocer1/Tableau_Sales_Forecastings

We conducted sales forecasting for an Amazon dropshipping company operating in the USA on this Tableau dashboard. It became quite an advanced dashboard with interactive charts and links to the product pages.

ismetgocer1/Time-Spent-Bill-Amount-Analysis-of-Restaurants

In this project, we analysed the time spent and bill amount relationship of customers in the restaurant. We applied 12 ML, and 1 ANN model and deployed them on Streamlit.

ismetgocer1/Amazon-Sales-Basket-Analysis

In this part of the project, we advanced the product recommendation system on Amazon a step further. Sellers will be able to choose products with a high likelihood of being sold together and with a high number of orders while preparing their product catalogs. They will also be able to see the potential profit margins in these products.

ismetgocer1/Car_Price_Estimator

Car_Price_Estimator

ismetgocer1/Car_Price_Estimator_DT

Car Price Estimator DT

ismetgocer1/DS_Web_Page

My Data Science Web Page

ismetgocer1/Interactive-Recommendation-Engine-

I create an Interactive Recommendation Engine for Movie Dataset. You can find "Display", "Interact" and other dynamic system in this repo.

ismetgocer1/Penguins

Penguins

ismetgocer1/Price-Optimisation-and-Price-Quanitiy-Relationship-by-Using-Machine-Learning-and-Streamlit

I analysed Price-Optimisation and Price-Quanitiy Relationship by Using Machine Learning and Deployed them on Streamlit

ismetgocer1/Purchase_Prediction-

This is a Purchase Prediction ML Model on Streamlit

ismetgocer1/Purchase_Prediction_Tool

Purchase_Prediction_Too

ismetgocer1/Wine_Price_Estimator