Machine Learning Hot & new
Machine learning (ML) is a branch of artificial intelligence (AI) focused on building systems that can learn from and make decisions based on data.
Machine Learning is an increasingly hot field of data science dedicated to enabling computers to learn from data. From spam filtering in social networks to computer vision for self-driving cars, the potential applications of Machine Learning are vast.
Requirements for this course
- Basic programming proficiency in Python (or willingness to learn).
- Familiarity with fundamental concepts of statistics and linear algebra.
- Access to a computer with an internet connection.
- Eagerness to engage in hands-on coding exercises and projects.
- Openness to learning new concepts and algorithms in the field of machine learning.
1 month training
- to Machine Learning
- Data Preprocessing and Feature Engineering
- Supervised Learning: Regression
2 months training
- Supervised Learning: Classification
- Unsupervised Learning: Clustering
- Dimensionality Reduction and Feature Selection
- Model Evaluation and Hyperparameter Tuning
3 months training
- Introduction to Deep Learning
- Deploying Machine Learning Models
- Ethical and Responsible AI
- Capstone Project
- 1 month : Introduction to Machine Learning
- 2 month : Cleaning and preprocessing raw data for machine learning tasks.
- 3 month : Understanding regression analysis and its applications.
- 3 months + : Please contact us