We have flexible class sessions to meet your busy schedules and different countries’ time zones, you can select any class session convenient for you.

This class is 100% practical and hands-on training, it’s a live class, just like a normal physical class.

Course Aim:

Practical Hands-On-Tools training for official use, personal and for certification exams preparation meant for beginners to intermediate level of Data Science.

Course Objectives:

• Master basics of Machine Learning with Python
• Many Machine Learning models
• Make accurate predictions
• Make powerful analysis
• Create strong added value to business Projects
• Using Machine Learning for personal purposes
• Know Machine Learning models to choose for a specific type of problem

Course Contents:

• The Basics of Programming
• How to Install Anaconda and Python
• How to Launch a Jupyter Notebook
• Variables and Operators in Python
• Booleans and Comparisons in Python
• Other Useful Python Functions
• Control Flow in Python
• Functions in Python
• Modules in Python
• Strings in Python

Data Preprocessing in Python

• Importing Libraries
• Importing Dataset
• Taking care of missing values
• Categorical variables
• Encoding Categorical variables
• Splitting datasets into training and testing
• Mean Squared Errors
• Feature scaling
• Overfitting and Under-fitting
• Making Predictions

Regression

• Simple Linear Regression
• Multiple Linear Regression  Polynomial Regression
• Support Vector Regression  Decision Tree Regression
• Random Forest Regression
• Evaluating Regression Models performance
• Regression model selection in python

Classification

• Logistic Regression
• K-Nearest Neighbor
• Support Vector Machine
• Kernel SVM

Clustering

 K-Mean Clustering

Model Selection

FINAL PROJECTS.