This comprehensive course "Complete Machine Learning Course With Python" equips learners with essential Python programming skills and a solid understanding of linear algebra and statistics. Covering a wide array of topics, participants delve into supervised learning, exploring generative and discriminative approaches, as well as support vector machines. Unsupervised learning techniques like clustering and dimensionality reduction are also thoroughly examined, along with learning theory concepts such as bias/variance tradeoffs and VC theory.
Participants gain proficiency in various regression, classification, and machine learning algorithms, mastering performance metrics like R-squared, MSE, and accuracy. The course "Complete Machine Learning Course With Python" emphasizes practical application by teaching methodologies such as bagging, boosting, and stacking to combine multiple models effectively. Additionally, learners discover the power of unsupervised machine learning algorithms like hierarchical and k-means clustering for insightful data understanding.
Practical exercises are conducted using tools like Spyder and various integrated development environments (IDEs). Visual communication is emphasized through Matplotlib and Seaborn, enabling participants to convey insights effectively. Furthermore, learners in Complete Machine Learning Course With Python acquire skills in feature engineering to enhance algorithm predictions and employ robust validation techniques like train/test, K-fold, and Stratified K-fold to evaluate model performance accurately. Real-world applications, such as handwriting recognition with SVM and staff attrition prediction using decision trees, are explored to contextualize the learned concepts.
Complete Machine Learning Course With Python Table of Contents:
- Explore over 15 machine-learning algorithms with diverse datasets
- Engage in 15+ assignments for hands-on practice
- Dive into both supervised and unsupervised learning models, including Principle Component Analysis (PCA)
- Apply powerful machine learning models to tackle real-world problems in business, job roles, or personal life
- Train algorithms to predict house prices, recognize handwriting, detect cancer cells, and much more
Who is this course for?
- Anyone willing and interested to learn machine learning algorithms with Python
- Anyone who want to choose a career in Data Science, AI, Machine learning, or Data Analytics
- Anyone wishes to move beyond the basics and develop an understanding of the whole range of machine learning algorithms
Click on the links below to Download Complete Machine Learning Course With Python!
You are replying to :