Elif Tosun's repositories
Movie-Recommend-App
Movie Recommendation System on the Website using Streamlit
Ship-Route-Optimization-with-AWS
Big Data Query with Mongodb, Data Understanding, Data Visualization, Data PreProcessing(Outlier Detection, LOF, Normalization, Label Encoder), Feature Extraction, Train-Test Split, Model Selection, Parameter Optimization(GridSearchCV), Visualization of the Model Result and Making Predictions
Bank-Scrapy
Scrapy, Python'da yazılmış, ücretsiz ve açık kaynaklı bir web tarama çerçevesidir. Orijinal olarak web kazıma için tasarlanmış olup, API'leri kullanarak veya genel amaçlı bir web tarayıcısı olarak veri çıkarmak için de kullanılabilir.
Bert-Bank-Model
It is a Turkish BERT-based model that will analyze people's bank complaints and classify them according to one of eight categories.
Breast-Cancer-Classification
Data Understanding, DataPreProcessing, Data Visualization, Outlier Detection, Feature Scaling and Normalization, Model Selection, PCA, Hyper-parameter Optimization(GridSearchCV), Evaluating the Model(Accuracy Score, F1 Score, R2 Score, Mean Squared Error, Mean Absolute Error), Model Result Visualization
Covid-19
Data Analysis, Data PreProcessing, Separation of Dependent and Independent Variables, Visualization with Plotly, Matplotlib and Seaborn, Model training and predicting with Linear and Polynomial Regression
Customer-Segmentation-with-KMeans
Visualizing data using Matplotlib, Seaborn, Axes3D, Sorting data into subgroups using the KMeans algorithm
Data-Labeling
Bu araç veri kazıma aşamasından sonra verilerin istenilen kategoriye göre etiketlenmesi ve kullanılmayacak olan verilerin database'ten silinmesi ile makine öğrenmesi modellerini kullanmak için etiketleme adımınını otomatikleştirmek amaçlı yapılmıştır.
Iris-Datasets
Loading the modeling, Creating a data frame, Visualization of the model, Separation of Dependent and Independent Variables Feature Scaling and Normalization, Result Visualization, Finding the best algorithm by reducing the number of columns with PCA, Comparison of normal dataset and PCA dataset using KNN,SVC,KMeans and Logistic Regression models
Medical-Cost-Analysis
Exploratory Data Analysis, DataPreProcessing, Data Visualization, Feature Scaling and Normalization, Model Selection, Hyper-parameter Optimization, Evaluating the Model
ML-vs-DL-EDA-Spaceship-Titanic
Data Understanding, Data Visualization, Data PreProcessing, Outlier Detection, Anomaly Detection, One Hot Encoding, Model Selection, GridSearchCV, Deep Learning
Prediction-Of-Diabetes-with-the-KNN-Algorithm
Data Analysis, Statistical Analysis, Correlation Analysis, Data Pre-Processing, Classification, K-Nearest Neighbors, Evaluating the model, roc_curve, GridSearchCV,
RFM-Customers-Analysis
RFM analysis focuses on identifying and segmenting customers based on their purchasing behavior. Analyzed to understand and interact with customers. It can be used together for more effective marketing and customer management strategies.
textDataClean
Kirli veri çekildiğinde ön işleme adımlarına gerek kalmadan model eğitimi için hazır hale getirmek amacıyla yapılan uygulamadır.
Transfer-Learning
Viewing Images with cv2 Library, Separation of data as Train-Test, Training and Visualization of data with Convolutional Neural Networks