Develop practical skills in Python programming for machine learning applications using real-world datasets and libraries like scikit-learn and TensorFlow
Implement supervised and unsupervised machine learning algorithms to solve classification, regression, and clustering problems effectively
Apply data preprocessing, feature engineering, and model evaluation techniques to improve machine learning model accuracy and robustness
Design and deploy machine learning models for predictive analytics in various industries such as finance, healthcare, and marketing
Troubleshoot common issues in machine learning workflows, including overfitting, underfitting, and data imbalance challenges
Utilize version control and best coding practices to develop scalable, reproducible machine learning projects in collaborative environments
Machine Learning is making the computer learn from studying data and statistics. Machine Learning is a step into the direction of artificial intelligence .