Tools like AutoML are making it easier for non-experts to develop machine learning models by automating the process of model selection, hyperparameter tuning, and feature engineering.
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That's my new portfolio then 1'st happy clients by itself
Data manipulating and visualization with machine learning
2
2
2019
2021
2022-2025
My journey started with acquiring a solid foundation in mathematics, statistics, and programming. Courses in linear algebra, calculus, probability, and statistics provided the necessary groundwork. Learning programming languages like Python allowed me to manipulate and analyze data effectively.
Machine learning is the heart of data science. I immersed myself in studying various machine learning algorithms, understanding their theoretical underpinnings, and applying them to real-world problems. From regression and classification to clustering and deep learning, each algorithm opened new doors of possibilities.
Data manipulation and visualization are crucial skills for any data scientist. Tools like Pandas and Numpy enabled me to clean and preprocess data efficiently. Visualization libraries such as Matplotlib and Seaborn helped me communicate insights clearly and effectively.
