tohid-yousefi

tohid-yousefi

Association_Rule_Learning-Intro

in this section will be association rule learning on online_retail_ii dataset

GUI_Python_Forex_Trading_Project_with_Tkinter

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

Machine_Learning_Algorithms_for_Time_Series_Analysis_Demand_Forecasting

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

Sentiment_Analysis_on_Amazon_Product_Reviews

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

Data_Preprocessing_Operations_in_Python

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

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.

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.

Sentiment_Analysis_on_Amazon_Kozmos_Reviews

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

Sentiment_Analysis_on_Movie_Reviews

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

Classification_Algorithms_in_Machine_Learning

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

Content_Based_Recommender_Systems

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

Item_Based_Recommender_Collaborative_Filtering

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

Prediction_with_Linear_Regression_and_Cousines

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

Prediction_with_NonLinear_Regressions

In this section, we will predict with NonLinear Regressions

tohid-yousefi.github.io

Personal Web Site

Unsupervised_Learning_in_Machine_Learning_Algorithms

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

Basic_Filter_Based_Feature_Selection_Methods

Basic Filter Based Feature Selection Methods

Breast-Cancer-Prediction-with-Hybrid-Filter-Wrapper-Feature-Selection

Breast Cancer Prediction with Hybrid Filter-Wrapper Feature Selection

Categorical_Feature_Selection

in this section will be categorical feature selection on breast cancer dataset

Model_Based_Matrix_Factorization_Recommender_Systems

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

Numerical_Feature_Selection

in this section will be numerical feature selection on diabetes dataset

Predicting-Customer-Satisfaction-with-Hybrid-Basic-Filter-Based-Feature-Selection

Predicting Customer Satisfaction with Hybrid Basic Filter-Based Feature Selection

Predicting_Body_Fat_Using_Regression_MLA

In this section we will be predicting body fat using regression machine learning algorithms

Prediction_Diabetes_Dataset_Using_Feature_Engineering_and_Data_Preprocessing

Prediction Diabetes Dataset Using Feature Engineering and Data Preprocessing

Prediction_Diabetes_Using_Classification_Machine_Learning_Algorithms

In this section we will be predicting diabetes using classification machine-learning algorithms

pyallffs

PYALLFFS: An open-source library for all filter feature selection methods

User_Based_Recommender_Collaborative_Filtering

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

Wrapper_Feature_Selection

in this section, we will be wrapper feature selection on the diabetes dataset