Machine Learning Program

This is an all-inclusive program that will introduce you to the Python development language and expose you to the essentials of object-oriented programming. Python has surpassed Java as the top language used to introduce U.S. students to programming and computer science. This course will give you hands-on development experience and prepare you for a career as a professional Python programmer. 

Course Outline: 

• Creating Your First Program in Python
• Data Types: Classifying Data in Python
• Implementing Input and Output Operations
• Operators: Performing Logical and Mathematical Operations
• Statements: Controlling the Flow of Program
• Strings: A Sequence of Characters
• Arrays: Arranging Similar Objects Systematically
• Implementing Functions in Python
• Lists and Tuples: Managing Data Systematically
• Dictionaries and Other Data Structures
• Recursion and Algorithms in Python

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.

This course is fun and exciting, but at the same time we dive deep into Machine Learning. 

Course Outline: 

• Data Preprocessing
• Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
• Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
• Clustering: K-Means, Hierarchical Clustering
• Association Rule Learning: Apriori, Eclat
• Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
• Natural Language Processing: Bag-of-words model and algorithms for NLP
• Deep Learning: Artificial Neural Networks, Convolutional Neural Networks
• Dimensionality Reduction: PCA, LDA, Kernel PCA
• Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost