Master Python for Machine Learning & Data Science. Build AI apps, Ace Interviews & Land Your Dream Job.
Sub Category
- Data Science
{inAds}
Objectives
- Fundamentals of Data Science: Grasp the core concepts and principles underlying data science.
- Data Analysis with Python: Utilize Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualization.
- Machine Learning Algorithms: Understand and implement regression, classification, and clustering algorithms using Scikit-learn.
- Model Building and Evaluation: Learn to build predictive models and assess their accuracy with real-world datasets.
- Data Preprocessing Techniques: Master essential data cleaning, transformation, and feature engineering methods.
- Practical Applications: Apply data science skills to real-world projects and case studies.
- Model Deployment: Gain insights into deploying machine learning models in production environments.
- Career Preparation: Receive guidance on preparing for technical interviews and building a data science portfolio.
- Python Programming for Data Science: Solidify your Python skills for data science tasks.
- Data Visualization: Create informative and visually appealing data visualizations to communicate insights.
Pre Requisites
- Basic Python programming knowledge is recommended, but not strictly required. The course will cover essential Python concepts for data science.
- A willingness to learn and experiment with data is essential.
- Access to a computer with an internet connection to install necessary software and libraries.
- No prior experience in data science or machine learning is required.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
{inAds}
Coupon Code(s)