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Meta-Heuristics
In this section, I share the Meta-Heuristic algorithm codes that I wrote myselfGlobalAIHub
In this section, you can see the projects done on GlobalAIHubPredicting_the_Energy_Efficiency_of_Buildings
In this section, predicting the energy efficiency of buildings with machine learning algorithms.tohid-yousefi
OpenCV_Library_Overview
In this section, we will learn some functions used in the OpenCV library in Google Colab.General_Deep_Learning_Methods_ANN_CNN_RNN_LSTM
In this section, we will use general deep learning methods (ANN-CNN-RNN-LSTM) on data sets.Calculation-of-Lead-Generation-with-Rule-Based-Classification
In this section i will talk about Calculation of Lead Generation with Rule Based ClassificationAirline_Passengers_Forecasting_Using_Time_Series_Methods
In this section, we will estimate airline passengers using time series methods.Customer_Segmentation_with_Unsupervised_Learning_FLO_Dataset
Bu kısımda denetimsiz öğrenme FLO veri kümesi ile müşteri segmentasyonu yapacağız.Machine_Learning_Algorithms_for_Time_Series_Analysis_Demand_Forecasting
In this section, we will use machine learning algorithms to perform time series analysis.GUI_Python_Forex_Trading_Project_with_Tkinter
In this part, we developed an interface for Forex Trading using the tkinter library in python.GUI_Python_Digit_Classification_Project_with_PyQt5
In this part, we developed an interface for Digit Classification using the PyQt5 library in Python.Gdz_Elektrik_Datathon_2023_Time_Series
In this section, we will perform time series analysis by participating in the Gdz Elektrik Datathon 2023 competition.Sentiment_Analysis_on_Amazon_Product_Reviews
In this section, we will do a sentiment analysis on amazon product reviews.Exponential_Smoothing_Methods_in_Time_Series_Analysis
In this section, we will examine the Exponential Smoothing Methods in time series analysis.Association_Rule_Learning-Intro
in this section will be association rule learning on online_retail_ii datasetMachine_Learning_in_Big_Data_with_Apache_Spark
In this section, we will predict test customer churn using apache spark machine learning algorithms.Prediction_Telco_Customer_Churn_Using_MLA
In this section, we will predict Telco customer churn using machine learning algorithms.Predicting_House_Prices_using_pyspark
In this section, we will predict house prices using pyspark.Sorting_Reviews_Using_Python
In this section, we will be sorting the reviews with python.RFM_Analysis_and_CLTV_Prediction_FLO
In this section, I will perform RFM analysis and CLTV prediction on the dataset belonging to the FLO store.Prediction_Diabetes_using_CART
In this section, we will predict diabetes using Classification and Regression TreesScouting_Classification_using_MLA
In this section, we will classification scouting using MLA.GUI_Python_Skin_Cancer_Classification_Project_with_Tkinter
In this part, we developed an interface for Skin Cancer Classification using the Tkinter library in Python.Predicting_Breast_Cancer_using_PCA_and_PCR_Analysis
In this section, we will predict breast cancer using PCA and PCR analysis.AB_Testing_Using_Python
In this section, we will perform AB Testing with python.Sentiment_Analysis_on_Movie_Reviews
In this section, we will do a sentiment analysis on movie reviews.Credit_Card_Fraud_Detection_Imbalanced_Dataset
In this section, we will credit card fraud detection on an imbalanced dataset.Predicting_Bank_Customer_Churn_using_pyspark
In this section, we will predict bank customer churn using pyspark machine learning algorithms.Customer_Segmentation_with_pyspark_on_Flo_Dataset
In this section, we will perform customer segmentation using pyspark in the Flo dataset.Advertising_Sales_Prediction_using_pyspark_and_mlflow
In this section, we will predict advertising sales using pyspark and mlflow.Clustering_USArrests_Dataset_using_pyspark
In this section, we will cluster the USArrests dataset using pyspark.Using_Prophet_Method_in_Time_Series_Analysis
In this section, we will examine the use of the prophet method, which is one of the time series analysis methods.Sentiment_Analysis_on_Amazon_Kozmos_Reviews
In this section, we will do a sentiment analysis on amazon kozmos product reviews.Data_Preprocessing_Operations_in_Python
In this section, you can see a summary of the operations related to data preprocessing in python.Statistics_for_Data_Science
Bu kısımda veri biliminde en sık kullanılan istatistiksel yöntemleri ve mtotlarını inceledim.Machine_Learning_Algorithms_for_Time_Series_Analysis_Total_Trading_Volume_Forecasting
In this section, we will use machine learning algorithms to perform time series analysis.Prediction_with_Linear_Regression_and_Cousines
In this section, we will prediction with Linear Regression and CousinsSorting_Products_Using_Python
In this section, we will be sorting the product with python.Rating_Product_and_Sorting_Reviews_in_Amazon
In this section, Product Rating and Reviews will be sorted on Amazon.Unsupervised_Learning_in_Machine_Learning_Algorithms
In this section, we will examine unsupervised learning algorithms in machine learning.Predicting_House_Price_using_Machine_Learning_Algorithms
In this section, we will perform house price prediction using machine learning algorithms.Performing_Salary_Predicting_Using_Machine_Learning_Algorithms_Hitters_Dataset
In this section, we will perform salary prediction on the Hitters dataset using machine learning algorithms.Content_Based_Recommender_Systems
in this section will be content recommender systems on movies meta datasetData-Analysis-with-Python
In this section you can find some functions to be used in data analysis.Robot_Path_Planning_Using_Particle_Swarm_Optimization_Algorithm_Matlab_GUI
In this section, I Developed the Robot Path Planning Program Using the Particle Swarm Optimization Algorithm.Association_Rule_Learning_Recommender_Online_Retail_ii
In this section i will create a association rule learning recommender on the online_retail_ii datasetContent_Based_Recommender_Movie_Dataset
In this section, I will create a content-based recommender on the movie datasetClassification_Algorithms_in_Machine_Learning
In this section, we will examine classification algorithms in machine learning.Telco_Customer_Churn_Feature_Engineering
In this section, we will do data preprocessing and feature engineering on the Telco dataset.Comparison_of_AB_Testing_and_Conversion_of_Bidding_Methods
In this section, AB Test and Bidding Methods Conversion will be comparedUser_Based_Recommender_Movie_Dataset
In this section, I will create a user-based recommender on the movie datasetArmut_Association_Rule_Learning_Recommender_System
In this section i will create a association rule learning recommender on the Armut datasetRating_Products_Using_Python
In this section, we will be rating the product with python.Sorting_IMDB_Top_250_Movies_Using_Python
In this section, we will be sorting IMDB 250 top movies using pythonHybrid_Recommender_System
In this section, I will create a hybrid recommender system on the movie datasetData_Preprocessing_and_Feature_Engineering_on_Diabetes_Dataset
In this section, we will do data preprocessing and feature engineering on the diabetes dataset.Prediction_with_NonLinear_Regressions
In this section, we will predict with NonLinear RegressionsPredicting_Diabetes_with_Logistic_Regression
In this section, we will predict diabetes by logistic regression.Patika
In this section, you can see the projects done on Patika.devMatrix_Factorization_Movie_Dataset
In this section, I will apply a matrix factorization on the movie datasetItem_Based_Recommender_Collaborative_Filtering
in this section will be item based recommender on movies and ratings datasetItem_Based_Recommender_Movie_Dataset
In this section, I will create a item-based recommender on the movie datasetmysite
bu projede kisisel web sitemi yazdimRFM_Analysis_and_CLTV_Prediction_Online_Retail_ii
In this section, I will perform RFM analysis and CLTV prediction on the online_retail_ii dataset.Love Open Source and this site? Check out how you can help us