Kujifunza kwa Mashine & Sayansi ya Data : Python Vitendo Mikono juu

Bei: $19.99

Interested in the field of Machine Learning? Kisha kozi hii ni kwa ajili yako!

Designed & Crafted by AI Solution Expert with 15 + years of relevant and hands on experience into Training , Coaching and Development.

Complete Hands-on AI Model Development with Python.
Course Contents are:
1. Fundamentals of Machine Learning
2. Machine learning project Life Cycle
3. Supervised & Unsupervised Learning
4. Data Pre-Processing
5. Algorithm Selection
6. Data Sampling and Cross Validation
7. Feature Engineering
8. Model Training and Validation
9. K -Nearest Neighbor Algorithm
10. K- Means Algorithm
11. Accuracy Determination
12. Visualization using Seaborn
You will be trained to develop various algorithms for supervised & unsupervised methods such as KNN , K-Means , Random Forest, XGBoost model development.
Understanding the fundamentals and core concepts of machine learning model building process with validation and accuracy metric calculation. Determining the optimum model and algorithm.
Cross validation and sampling methods would be understood.
Data processing concepts with practical guidance and code examples provided through the course.
Feature Engineering as critical machine learning process would be explained in easy to understand and yet effective manner.
We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
Aidha, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.

Mwandishi