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알라여러브바허디르
My name is Bakhodir, and I have extensive experience in programming languages such as Python, Packet Tracer, DevNet, and SQL. I am proficient in various Python libraries, including Numpy, Pandas,
工作经历
- Obtained several ways to present the project, ideas in visualizing the data - Developed LinkedIn profile by supporting each other in group(it was one of the tasks of the intern) - Worked on a Machine Learning project for the company on various domains (eligibility for credit or debt) of tasks such as Collaborative Filtering Algorithms, Sparx Metrix Classification models, Data Manipulation, Neural Network techniques like CNN Layer, Model Training, and Deployment - Technologies: Numpy, Pandas, Matplotlib, Seaborn, Sklearn, Tensorflow, Data Leakage , Pipelines, XGBoost, Unsupervised/Supervised learning
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-Using a turtle robot to learn the self-driving process -Connecting the master(computer) to its slave(robot) and draw insights. -Learning noetic generation of ROS -Improving experience in robotics, working in ubuntu, understanding the are also parts of the project
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In this internship my job was to create two models. Especially, I had to clear a data and prepare to machine learnig part. We did everything with the group, and everyone tried to do the same task but we chose only one and best model to present. -Trained prediction and classification models for the investors and mobile applications with different ML and DL algorithms. -Technologies: Numpy, Pandas, Matplotlib, Seaborn, Sklearn, Tensorflow - Did Exploratory Data Analysis (EDA), understood the data by uncovering patterns, distributions, and relationships, which informs the selection and implementation of appropriate algorithms for the task, •Project Link: https://github.com/BahodirML/ML_Projects/blob/main/Customer_churn.ipynb
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学历
活动
最近活动
资格证书 2
项目 3
新闻/媒体 1
자격증
Invitation for internship
2023년 12월
- Obtained several ways to present the project, ideas in visualizing the data - Developed LinkedIn profile by supporting each other in group(it was one of the tasks of the intern) - Worked on a Machine Learning project for the company on various domains (eligibility for credit or debt) of tasks such as Collaborative Filtering Algorithms, Sparx Metrix Classification models, Data Manipulation, Neural Network techniques like CNN Layer, Model Training, and Deployment - Technologies: Numpy, Pandas, Matplotlib, Seaborn, Sklearn, Tensorflow, Data Leakage , Pipelines, XGBoost, Unsupervised/Supervised learning
자격증
Invitation for internship
2023년 9월
n this internship my job was to create two models. Especially, I had to clear a data and prepare to machine learnig part. We did everything with the group, and everyone tried to do the same task but we chose only one and best model to present. -Trained prediction and classification models for the investors and mobile applications with different ML and DL algorithms. -Technologies: Numpy, Pandas, Matplotlib, Seaborn, Sklearn, Tensorflow - Did Exploratory Data Analysis (EDA), understood the data by uncovering patterns, distributions, and relationships, which informs the selection and implementation of appropriate algorithms for the task, •Project Link: https://github.com/BahodirML/ML_Projects/blob/main/Customer_churn.ipynb
프로젝트
Diabet diagnosis
2023년 6월 - 2023년 6월 · 1개월
Diabet classification •Used Convolutional layers for classification of big amount of data and deployed the trained model t •Used a data from KAGGLE about people who got a diagnosis on diabetes •Project Link: https://github.com/BahodirML/ML_Projects/blob /main/Diabet_diagnose.ipynb
프로젝트
Diabet diagnosis
2023년 6월 - 2023년 6월 · 1개월
Diabet classification •Used Convolutional layers for classification of big amount of data and deployed the trained model t •Used a data from KAGGLE about people who got a diagnosis on diabetes •Project Link: https://github.com/BahodirML/ML_Projects/blob /main/Diabet_diagnose.ipynb
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Picture detection
2019년 5월 - 2023년 5월 · 4년 1개월
Picture classification •Trained picture classification model based on leaning tons of pictures in deep learning •Annotated images with python code and could achieve accuracy over 95%. •Project Link: https://github.com/BahodirML/ML_Projects/blob/main/Salary_classification.ipynb
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