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tohid-yousefi

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Meta-Heuristics

In this section, I share the Meta-Heuristic algorithm codes that I wrote myself

MATLAB

GlobalAIHub

In this section, you can see the projects done on GlobalAIHub

Jupyter Notebook

Predicting_the_Energy_Efficiency_of_Buildings

In this section, predicting the energy efficiency of buildings with machine learning algorithms.

Jupyter Notebook

tohid-yousefi

OpenCV_Library_Overview

In this section, we will learn some functions used in the OpenCV library in Google Colab.

Jupyter Notebook

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.

Jupyter Notebook

Calculation-of-Lead-Generation-with-Rule-Based-Classification

In this section i will talk about Calculation of Lead Generation with Rule Based Classification

Jupyter Notebook

Airline_Passengers_Forecasting_Using_Time_Series_Methods

In this section, we will estimate airline passengers using time series methods.

Jupyter Notebook

Customer_Segmentation_with_Unsupervised_Learning_FLO_Dataset

Bu kısımda denetimsiz öğrenme FLO veri kümesi ile müşteri segmentasyonu yapacağız.

Jupyter Notebook

Machine_Learning_Algorithms_for_Time_Series_Analysis_Demand_Forecasting

In this section, we will use machine learning algorithms to perform time series analysis.

Jupyter Notebook

GUI_Python_Forex_Trading_Project_with_Tkinter

In this part, we developed an interface for Forex Trading using the tkinter library in python.

Python

GUI_Python_Digit_Classification_Project_with_PyQt5

In this part, we developed an interface for Digit Classification using the PyQt5 library in Python.

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.

Jupyter Notebook

Sentiment_Analysis_on_Amazon_Product_Reviews

In this section, we will do a sentiment analysis on amazon product reviews.

Jupyter Notebook

Exponential_Smoothing_Methods_in_Time_Series_Analysis

In this section, we will examine the Exponential Smoothing Methods in time series analysis.

Jupyter Notebook

Association_Rule_Learning-Intro

in this section will be association rule learning on online_retail_ii dataset

Jupyter Notebook

Machine_Learning_in_Big_Data_with_Apache_Spark

In this section, we will predict test customer churn using apache spark machine learning algorithms.

Jupyter Notebook

Prediction_Telco_Customer_Churn_Using_MLA

In this section, we will predict Telco customer churn using machine learning algorithms.

Jupyter Notebook

Predicting_House_Prices_using_pyspark

In this section, we will predict house prices using pyspark.

Jupyter Notebook

Sorting_Reviews_Using_Python

In this section, we will be sorting the reviews with python.

Jupyter Notebook

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.

Jupyter Notebook

Prediction_Diabetes_using_CART

In this section, we will predict diabetes using Classification and Regression Trees

Jupyter Notebook

Scouting_Classification_using_MLA

In this section, we will classification scouting using MLA.

Jupyter Notebook

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.

Python

Predicting_Breast_Cancer_using_PCA_and_PCR_Analysis

In this section, we will predict breast cancer using PCA and PCR analysis.

Jupyter Notebook

AB_Testing_Using_Python

In this section, we will perform AB Testing with python.

Jupyter Notebook

Statistical_Methods_in_Time_Series_ARIMA_SARIMA

In this section, we will examine the Statistical Methods in time series analysis.

Jupyter Notebook

Sentiment_Analysis_on_Movie_Reviews

In this section, we will do a sentiment analysis on movie reviews.

Jupyter Notebook

Credit_Card_Fraud_Detection_Imbalanced_Dataset

In this section, we will credit card fraud detection on an imbalanced dataset.

Jupyter Notebook

Predicting_Bank_Customer_Churn_using_pyspark

In this section, we will predict bank customer churn using pyspark machine learning algorithms.

Jupyter Notebook

Customer_Segmentation_with_pyspark_on_Flo_Dataset

In this section, we will perform customer segmentation using pyspark in the Flo dataset.

Jupyter Notebook

Advertising_Sales_Prediction_using_pyspark_and_mlflow

In this section, we will predict advertising sales using pyspark and mlflow.

Jupyter Notebook

Clustering_USArrests_Dataset_using_pyspark

In this section, we will cluster the USArrests dataset using pyspark.

Jupyter Notebook

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.

Jupyter Notebook

Sentiment_Analysis_on_Amazon_Kozmos_Reviews

In this section, we will do a sentiment analysis on amazon kozmos product reviews.

Jupyter Notebook

Data_Preprocessing_Operations_in_Python

In this section, you can see a summary of the operations related to data preprocessing in python.

Jupyter Notebook

Statistics_for_Data_Science

Bu kısımda veri biliminde en sık kullanılan istatistiksel yöntemleri ve mtotlarını inceledim.

Jupyter Notebook

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.

Jupyter Notebook

Prediction_with_Linear_Regression_and_Cousines

In this section, we will prediction with Linear Regression and Cousins

Jupyter Notebook

Sorting_Products_Using_Python

In this section, we will be sorting the product with python.

Jupyter Notebook

Rating_Product_and_Sorting_Reviews_in_Amazon

In this section, Product Rating and Reviews will be sorted on Amazon.

Jupyter Notebook

Unsupervised_Learning_in_Machine_Learning_Algorithms

In this section, we will examine unsupervised learning algorithms in machine learning.

Jupyter Notebook

Predicting_House_Price_using_Machine_Learning_Algorithms

In this section, we will perform house price prediction using machine learning algorithms.

Jupyter Notebook

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.

Jupyter Notebook

Content_Based_Recommender_Systems

in this section will be content recommender systems on movies meta dataset

Jupyter Notebook

Data-Analysis-with-Python

In this section you can find some functions to be used in data analysis.

Jupyter Notebook

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 dataset

Jupyter Notebook

Content_Based_Recommender_Movie_Dataset

In this section, I will create a content-based recommender on the movie dataset

Jupyter Notebook

Classification_Algorithms_in_Machine_Learning

In this section, we will examine classification algorithms in machine learning.

Jupyter Notebook

Telco_Customer_Churn_Feature_Engineering

In this section, we will do data preprocessing and feature engineering on the Telco dataset.

Jupyter Notebook

Comparison_of_AB_Testing_and_Conversion_of_Bidding_Methods

In this section, AB Test and Bidding Methods Conversion will be compared

Jupyter Notebook

User_Based_Recommender_Movie_Dataset

In this section, I will create a user-based recommender on the movie dataset

Jupyter Notebook

Armut_Association_Rule_Learning_Recommender_System

In this section i will create a association rule learning recommender on the Armut dataset

Jupyter Notebook

Rating_Products_Using_Python

In this section, we will be rating the product with python.

Jupyter Notebook

Sorting_IMDB_Top_250_Movies_Using_Python

In this section, we will be sorting IMDB 250 top movies using python

Jupyter Notebook

Hybrid_Recommender_System

In this section, I will create a hybrid recommender system on the movie dataset

Jupyter Notebook

Data_Preprocessing_and_Feature_Engineering_on_Diabetes_Dataset

In this section, we will do data preprocessing and feature engineering on the diabetes dataset.

Jupyter Notebook

Prediction_with_NonLinear_Regressions

In this section, we will predict with NonLinear Regressions

Jupyter Notebook

Predicting_Diabetes_with_Logistic_Regression

In this section, we will predict diabetes by logistic regression.

Jupyter Notebook

Patika

In this section, you can see the projects done on Patika.dev

Java

Matrix_Factorization_Movie_Dataset

In this section, I will apply a matrix factorization on the movie dataset

Jupyter Notebook

Item_Based_Recommender_Collaborative_Filtering

in this section will be item based recommender on movies and ratings dataset

Jupyter Notebook

Item_Based_Recommender_Movie_Dataset

In this section, I will create a item-based recommender on the movie dataset

Jupyter Notebook

RFM_Analysis_and_CLTV_Prediction_Online_Retail_ii

In this section, I will perform RFM analysis and CLTV prediction on the online_retail_ii dataset.

Jupyter Notebook

tohid-yousefi/mysite

tohid-yousefi

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