ahmadbinsadiq
AI learner, proficient in Python, ML, Streamlit, R, Power BI, SQL, and NLP. Experienced in data analysis, project management, and process optimization.
Pinned Repositories
ahmadbinsadiq
My Personal Repository
ahmadbinsadiq.github.io
Data_analysis_and_ml_toolkit
The General Data Analysis and ML Toolkit is a Streamlit app designed for comprehensive data analysis and machine learning. Developed by Ahmad Bin Sadiq and Muhammad Bin Sadiq, the app allows users to visualize data, implement various ML models, and gain insights using both example and user-uploaded datasets. For more details, visit the repository.
Data_Analytics
Deep-Learning-Models-and-Case-Studies
A collection of deep learning models and case studies showcasing machine learning techniques like CNNs, RNNs, and more. Each case study includes data preprocessing, model implementation, hyperparameter tuning, and performance evaluation.
Machine_Learning_Models-and-Case-Studies
This repository features implementations of machine learning algorithms: Linear Regression, Logistic Regression, Decision Trees, Random Forest, SVM, KNN, K-Means, and PCA. It includes data preprocessing, model training, and evaluation scripts. Detailed README with usage instructions and future work suggestions included. Contributions welcome.
Statistics-Utilities
A repository containing various utilities for statistical analysis, including tools for handling missing values, analyzing Likert scale-based questionnaires, and other statistical functions. Designed to help streamline data preprocessing and analysis tasks in statistical studies.
Streamlit-Apps
Streamlit Apps Repository: A curated collection of sophisticated Streamlit applications for advanced data analysis, interactive visualizations, and comprehensive insights. Designed for data science professionals seeking practical tools and innovative solutions.
ahmadbinsadiq's Repositories
ahmadbinsadiq/ahmadbinsadiq.github.io
ahmadbinsadiq/Deep-Learning-Models-and-Case-Studies
A collection of deep learning models and case studies showcasing machine learning techniques like CNNs, RNNs, and more. Each case study includes data preprocessing, model implementation, hyperparameter tuning, and performance evaluation.
ahmadbinsadiq/Machine_Learning_Models-and-Case-Studies
This repository features implementations of machine learning algorithms: Linear Regression, Logistic Regression, Decision Trees, Random Forest, SVM, KNN, K-Means, and PCA. It includes data preprocessing, model training, and evaluation scripts. Detailed README with usage instructions and future work suggestions included. Contributions welcome.
ahmadbinsadiq/Statistics-Utilities
A repository containing various utilities for statistical analysis, including tools for handling missing values, analyzing Likert scale-based questionnaires, and other statistical functions. Designed to help streamline data preprocessing and analysis tasks in statistical studies.
ahmadbinsadiq/ahmadbinsadiq
My Personal Repository
ahmadbinsadiq/Data_analysis_and_ml_toolkit
The General Data Analysis and ML Toolkit is a Streamlit app designed for comprehensive data analysis and machine learning. Developed by Ahmad Bin Sadiq and Muhammad Bin Sadiq, the app allows users to visualize data, implement various ML models, and gain insights using both example and user-uploaded datasets. For more details, visit the repository.
ahmadbinsadiq/Streamlit-Apps
Streamlit Apps Repository: A curated collection of sophisticated Streamlit applications for advanced data analysis, interactive visualizations, and comprehensive insights. Designed for data science professionals seeking practical tools and innovative solutions.
ahmadbinsadiq/Data_Analytics