Advanced Machine Learning with Python

The Advanced Machine Learning with Python course offers a thorough understanding of the foundations and uses of Python programming in advanced Machine Learning schemes. This Advanced Machine Learning with Python training program covers topics like how to implement and train Machine Learning models using Python libraries and frameworks like TensorFlow, PyTorch, and sci-kit-learn, as well as how to carry out operations like data preprocessing, feature selection, and model evaluation. Additionally, the course covers more complex subjects like deep learning, reinforcement learning, and Python-based natural language processing.

ELIGIBILITY

The Python for Advance Machine Learning course is the best choice for anyone looking to advance their knowledge and abilities. It is most suitable for people who have a solid background in machine learning and some experience with Python programming.

CAREER OPPORTUNITIES

Market Trends

Machine learning is among the most in-demand skills for the future. According to the World Economic Forum, there will likely be a large increase in job opportunities in this area over the next few years. The employment of data scientists and engineers in machine learning is predicted to increase by 16% between 2020 and 2030, which is faster than the average for all occupations, according to the U.S. Bureau of Labour Statistics.

Salary Trends

Across numerous industries, machine learning is gaining importance. Machine learning engineers and data scientists are in high demand today and earn high salaries. According to information from several sources, the average annual income for a machine learning engineer in Dubai ranges from AED 120,000 to AED 190,000.

Demand And Opportunities

The demand for machine learning experts is anticipated to increase across a variety of sectors, including finance, healthcare, retail, technology, and many more. The Advanced Machine Learning with Python training program guarantees that participants will possess the necessary skills for corresponding roles, making it simpler for them to be filled.

ACCREDITATION

Our Advanced Machine Learning with Python course is accredited by ISO 9001: 2015 and the Knowledge and Human Development Authority (KHDA).

ALUMNI

Our academy graduates of the Advanced Machine Learning with Python course are placed successfully in some top-notch companies in Dubai like Jumeirah, Aramex, Airarabia, Damac, Emaar, etc. They are entrepreneurs, career changers, and lifelong learners.

COURSE OUTLINE:

• Introduction to Machine Learning
• Installing Software and Setting Up
• Understanding NLP
• Touring Powerful NLP Libraries in Python
• Getting the Newsgroups Data
• Thinking about Features
• Visualization
• Data Preprocessing
• Clustering
• Topic Modeling
• Getting Started with Classification
• Exploring Naïve Bayes
• The Mechanics of Naïve Bayes
• The Naïve Bayes Implementation
• Classifier Performance Evaluation
• Model Tuning and cross-validation
• Recap and Inverse Document Frequency
• The Mechanics of SVM
• The Implementations of SVM
• The Kernels of SVM
• Choosing Between the Linear and the RBF Kernel
• News topic Classification with Support Vector Machine
• Fetal State Classification with SVM
• Brief Overview of Advertising Click-Through Prediction
• Decision Tree Classifier
• The Implementations of Decision Tree
• Click-Through Prediction with Decision Tree
• Random Forest - Feature Bagging of Decision Tree
• One-Hot Encoding - Converting Categorical Features to Numerical
• Logistic Regression Classifier
• Click-Through Prediction with Logistic Regression by Gradient Descent
• Feature Selection via Random Forest
• Brief Overview of the Stock Market And Stock Price
• Predicting Stock Price with Regression Algorithms
• Data Acquisition and Feature Generation
• Linear Regression
• Decision Tree Regression
• Support Vector Regression
• Regression Performance Evaluation
• Stock Price Prediction with Regression Algorithms
• Best Practices in the Data Preparation Stage
• Best Practices in the Training Sets Generation Stage
• Best Practices in the Model Training, Evaluation, and Selection Stage
• Best Practices in the Deployment and Monitoring Stage

KEY TAKEAWAYS:

Successful completion of the Advanced Machine Learning with Python course will enable you to:

• Develop a solid grasp of cutting-edge machine learning methods like neural networks, deep learning, and natural language processing
• Utilize Python libraries and frameworks like TensorFlow, PyTorch, and sci-kit-learn to put these strategies into practice
• Recognize cutting-edge methods for model evaluation, feature selection, and data preprocessing
• Learn advanced methods for handling large datasets using libraries such as Pandas, NumPy, and others
• Become familiar with reinforcement learning and its uses

WHY LEARNER’S POINT ACADEMY

Our Advanced Machine Learning with Python course offers the following advantages:

• We consider actual situations that businesses must deal with when developing our Advanced Machine Learning with Python course, taking into account necessary practicalities
• To prepare our Advanced Machine Learning with Python training program, along with theoretical information, we emphasize real-world case studies to help you face reality and understand what will be expected of you as you perform in a demanding role
• Our specialized Advanced Machine Learning with Python course also gives you practical experience by giving you assignments that are relevant to the real workplace
• In addition to setting up group sessions, we also provide a guided learning environment to improve the standard of our Python training program for advanced machine learning.