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Sourabh
- Rate RM43
- Response 2h
-
Students1
Number of students accompanied by Sourabh since their arrival at Superprof
Number of students accompanied by Sourabh since their arrival at Superprof

RM43/h
1st lesson belanja
- Computer programming
- Python
- Programming languages
- Artificial Intelligence
Unlock Your Future : Master Data Science And Machine Learning with Sourabh Kumar - Online Classes tailored just for you.
- Computer programming
- Python
- Programming languages
- Artificial Intelligence
Lesson location
About Sourabh
My name is Sourabh Kumar. My technical skills encompass a range of programming languages and tools essential for Data Science. These include Python, Java, SQL, and web development technologies. My expertise extends to Machine Learning, Deep Learning, NLP, and Computer Vision, which I have applied in various projects to solve real-world problems. My experience includes analyzing large datasets to identify trends, patterns, and insights that can drive business growth and improve user experience.
Technical Proficiency:
Data Import and Cleaning: Utilized Pandas and NumPy for efficient data manipulation and cleaning, ensuring high-quality data for analysis and modeling.
Data Visualization: Leveraged Matplotlib and Seaborn to uncover insights and patterns, enabling data-driven decision-making.
Model Building: Developed robust machine learning models using Scikit-Learn, ensuring accurate and reliable predictions.
Model Evaluation: Employed various metrics to thoroughly evaluate models, guaranteeing their reliability and performance.
Deployment: Created an API server with Flask and deployed models on AWS for real-time predictions, demonstrating my ability to bring solutions to production.
Experiment Tracking: Used MLflow for tracking experiments and DVC (Data Version Control) for data versioning within the CI/CD pipeline, ensuring reproducibility and efficiency in model development.
Tools and Technologies:
Python: Main programming language for data processing, modeling, and deployment.
Pandas and NumPy: Essential for data manipulation and numerical computations.
Scikit-Learn: Key for building and evaluating machine learning models.
Matplotlib and Seaborn: Crucial for data visualization.
Flask: Used to create the API server.
Pickle: For model serialization.
DVC (Data Version Control): To track changes in the CI/CD pipeline.
MLflow: To track experiments and model performance.
About the lesson
- Primary
- Secondary
- SPM
- +13
levels :
Primary
Secondary
SPM
Form 6
STPM
Adult education
Bachelor
Masters
Diploma
Doctorate
Other
Beginner
Intermediate
Advanced
Professional
Kids
- English
All languages in which the lesson is available :
English
Unique Expertise:- Learned from the experienced Instructor with a diverse background in coding , machine learning , data science.
Comprehensive Curriculum:- Benefit from a well structured curriculum designed to simplify the complex concepts.
Personalized Learning:- Enjoyed one-on-one online session tailored to your learning pace and style.
Hands on Practical Experience :- Apply your knowledge through real world projects and case studies.
Flexible Scheduling:- Choose from a range of class timings to fit your busy schedule.
Rates
Rate
- RM43
Pack rates
- 5h: RM172
- 10h: RM387
free lessons
This first lesson is free to allow you to get to know your teacher so that they can best meet your needs.
- 1hr
online
- RM43/h
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