Data Science and Machine Learning with Python
Subir Chakraborty
6 modules
Lifetime access
Master data science and machine learning with Python
Overview
This course covers the fundamentals of data science and machine learning using Python. Students will learn how to process and analyze data, build predictive models, and interpret the results. The course also includes hands-on projects and case studies to enhance practical skills.
Key Highlights
Python programming for data science
Machine learning algorithms
Data preprocessing and analysis
What you will learn
Gain Python programming skills
Learn to code in Python for data science applications
Understand machine learning concepts
Explore various machine learning algorithms and techniques
Hands-on data analysis projects
Apply your knowledge through real-world data science projects
Modules
Introduction to Data Science
3 attachments
Overview of Data Science
Coming Soon
Data Science Workflow
Coming Soon
Python Basics for Data Science
Coming Soon
Data Preprocessing
3 attachments
Data Cleaning
Coming Soon
Data Transformation
Coming Soon
Feature Engineering
Coming Soon
Exploratory Data Analysis
3 attachments
Data Visualization
Coming Soon
Statistical Analysis
Coming Soon
Correlation Analysis
Coming Soon
Machine Learning Algorithms
3 attachments
Supervised Learning
Coming Soon
Unsupervised Learning
Coming Soon
Evaluation Metrics
Coming Soon
Introduction to Machine Learning with Python
3 attachments
Scikit-learn Library
Coming Soon
Model Training and Evaluation
Coming Soon
Hyperparameter Tuning
Coming Soon
Advanced Topics in Machine Learning
3 attachments
Ensemble Learning
Coming Soon
Feature Selection
Coming Soon
Model Deployment
Coming Soon
FAQs
How can I enrol in a course?
Enrolling in a course is simple! Just browse through our website, select the course you're interested in, and click on the "Enrol Now" button. Follow the prompts to complete the enrolment process, and you'll gain immediate access to the course materials.
Can I access the course materials on any device?
Yes, our platform is designed to be accessible on various devices, including computers, laptops, tablets, and smartphones. You can access the course materials anytime, anywhere, as long as you have an internet connection.
How can I access the course materials?
Once you enrol in a course, you will gain access to a dedicated online learning platform. All course materials, including video lessons, lecture notes, and supplementary resources, can be accessed conveniently through the platform at any time.
Can I interact with the instructor during the course?
Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.
About the creator
Subir Chakraborty
- Subir Chakraborty holds an MCA and M.Tech, backed by over 22 years of teaching experience.
- Proficient in both Hindi and English, he ensures effective communication with students.
- Subir specializes in programming languages, Data Structures and Algorithms (DSA), and web architecture.
- His expertise extends to a wide range of programming languages, including Python, Java, and C++.
- With a deep understanding of DSA, Subir simplifies complex concepts for easy comprehension.
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