Machine Learning with Python and TensorFlow

Deep dive into machine learning algorithms and neural networks using Python and TensorFlow.

Training by Live video

Requires prior Knowledge

Max of 5 Persons

Professional Certification

Machine Learning with Python and TensorFlow

Overview

Comprehensive machine learning course covering supervised and unsupervised learning, deep learning, and neural networks. Build real-world ML models and understand the mathematical foundations behind popular algorithms.

Requirements

Strong Python programming skills
Statistics and linear algebra knowledge
Calculus understanding (basic derivatives)

What Will You Study

Machine Learning Foundations

Types of machine learning

Data preprocessing and feature engineering

Model evaluation and cross-validation

Overfitting and regularization

Supervised Learning Algorithms

Linear and logistic regression

Decision trees and random forests

Support vector machines

Ensemble methods

Deep Learning with TensorFlow

Neural network fundamentals

Convolutional neural networks (CNNs)

Recurrent neural networks (RNNs)

Transfer learning and fine-tuning

Advanced Topics

Natural language processing

Computer vision applications

Generative adversarial networks

Model deployment and serving

Course Features

GPU-enabled cloud environments

Industry-standard datasets

Research paper discussions

Kaggle competition participation

Model deployment workshops

ML engineering best practices

Your Instructor

Nabil Chiheb

Founder of Remote Skills LTD & AI Solutions Architect

Nabil specializes in building AI-powered software solutions at Remote Skills LTD. He has launched successful AI-driven products like GitMatcher and DupeFinder, demonstrating expertise in machine learning applications for real-world problems including recruitment, search, and recommendation systems.

Ready to Master CSS3?

Join our live training sessions and take your CSS skills to the next level. Limited seats available to ensure personalized attention.