Machine Learning | تعلم الآلة

Service Description

• What you will learn: 1- Learn Object oriented python programming. 2- Learn to use the most popular libraries in machine learning for python like Pandas, Matplotlib, Numpy, SKlearn and more. 3- Deeper dive into Machine learning process from data cleaning, visualization, feature selection, and applying ML algorithms. 4- Learn various supervised and unsupervised machine learning algorithms. 5- Project based cohort focusing on one of the most popular corporate scams in American history. 6- 7 mini projects to cement your understanding of machine learning techniques. 7- A graduation project where you will apply all your Machine learning tools to create a meaningful application of machine learning. • Course content: 1. Object oriented programming in Python. 2. Supervised learning Algorithms: a. Linear/ Logistic regression b. Naïve Bayes c. Support vector Machine (SVM) d. Decision tree e. K Nearest neighbors 3. Gradient decent and Algorithm optimization. 4. Feature Scaling. 5. Feature selection. 6. Methods of Validation and Evaluation. 7. Introduction into Unsupervised learning: a. K – Means clustering b. Spectral clustering c. PCA. 8. Final project. • Course requirements: 1- Students who finished our DA course and are looking to pursue a career in data science. 2- For students who didn’t join our DA course, applicant must pass a 45 minutes exam in Statistics and python language fundamentals. 3- English language knowledge is a must. 4- Good knowledge of Calculus and statistics fundamentals. 5- Working Computer/laptop. In order to join this Course you Have to pass this exam : https://form.jotform.com/232714468138561 Course total hours: 55 hours

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