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@article{208408,
        author = {Dr. D. Mabuni},
        title = {Machine Learning Tools Overview: A Survey},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {4},
        pages = {1791-1801},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=208408},
        abstract = {Machine learning systems allow to analyse data, learn relationships among the attributes from data and make effective decisions for improving the business with increased profits.The most important goal of machine learning systems is to develop an automatic tool or set of automatic tools to complete any task or sub task successfully.  Machine learning is an advanced technology consisting of collections of different algorithms, techniques and tools. Machine learning tools are predominantly being used in vast varieties of real applications. Different categories of machine learning tools have been developed for the usage in the real-world different types of applications. All functionalities of many advanced machine learning tools have been automated in more than 90% of situations. Machine learning model and machine learning tool developers must have an idea for selecting the right tool for developing the desired application. The ultimate goal of any machine learning technique is to optimize hyper parameters.Machine learning models are perfectly suitable for automating the decision-making process over the large datasets. Developers should have the knowledgefor selecting the right tool.},
        keywords = {machine learning, machine learning tools, advanced machine learning tools, machine learning models, easy model building, automation capabilities, large quality data, model interpretability, model explainability, deep learning,patterns and trends, IOT, Auto-AI, Doctor-AI, machine learning concept, Pandas, Python, Numpy, Amazon Machine Learning, hyper parameter optimization.},
        month = {September},
        }