Python With DataScience and ML
Leverage Python for data science: Pandas, NumPy, Matplotlib, and Scikit-learn. Implement regression, clustering, NLP, and deep learning (TensorFlow/Keras). Covers data cleaning, visualization, model evaluation, and deployment. Projects include predictive analytics, sentiment analysis, and computer vision. Integrates cloud ML services (AWS SageMaker) and big data tools (PySpark). Builds portfolios for data scientist or ML engineer positions.
What Will I Learn?
- Craft a portfolio of websites to apply for junior developer jobs
- Build fully-fledged websites and web apps for your startup or business
- Understand the latest frameworks and technologies
- Learn professional developer best practices
- Work as a freelance web developer
- Be able to build ANY website you want
Course Content
Intro/Installing React
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Welcome
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Installing Swift on React
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Installing React on Linux
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Installing React on Windows
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Future of technology
React Basics
React Package Manager
About the instructor
11 Courses
17 students
Material Includes
- 43 hours on-demand video
- 81 articles
- 19 downloadable resources
- 4 coding exercises
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
Requirements
- Understand the value of building an Email List
- Be interested in Affiliate Marketing
- Have an Email Account
Audience
- Anyone that is looking to make money with Email Marketing
- Anyone that is looking to make money with Affiliate Marketing
- Anyone that is interested in making money online
- Anyone that wants to learn how to build a profitable business
