Introductory Python, to more advanced concepts like Object Oriented Programming, decorators, generators, and even specialized libraries like Numpy & Matplotlib Mastery of the fundamentals of Machine Learning and The Machine Learning Developmment Lifecycle. Linear Regression, Logistic Regression and Neural Networks built from scratch. TensorFlow installation, Basics and training neural networks with TensorFlow 2. Convolutional Neural Networks, Modern ConvNets, training object recognition models with TensorFlow 2. Breast Cancer detection, people counting, object detection with yolo and image segmentation Generative Adversarial neural networks from scratch and image generation Recurrent Neural Networks, Modern RNNs, training sentiment analysis models with TensorFlow 2. Neural Machine Translation, Question Answering, Image Captioning, Sentiment Analysis, Speech recognition Deploying a Deep Learning Model with Google Cloud Function. Linear Regression, Logistic Regression and Neural Networks built from scratch. Convolutional Neural Networks, Modern ConvNets, training object recognition models with TensorFlow 2. In this course, we shall look at core Deep Learning concepts and apply our knowledge to solve real world problems in Computer Vision and Natural Language Processing using the Python Programming Language and TensorFlow 2. We shall explain core Machine Learning topics like Linear Regression, Logistic Regression, Multi-class classification and Neural Networks.

Some programming experience Be comfortable with coding in Python Windows/Linux/MAC machine Desire to learn data science Nothing else! It's just you, your computer and your ambition to get started today Nothing else! It's just you, your computer and your ambition to get started today Are you ready to start your path to becoming a Data Scientist or ML Engineer? This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms! Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems! This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

This course is about artificial neural networks. Artificial intelligence and machine learning are getting more and more popular nowadays. In the beginning, other techniques such as Support Vector Machines outperformed neural networks, but in the 21st century neural networks again gain popularity. In spite of the slow training procedure, neural networks can be very powerful. In the first part of the course you will learn about the theoretical background of neural networks, later you will learn how to implement them in Python from scratch.

You will also learn how to use TensorFlow For NLP and Deep Learning. By end of this course, you will learn how to build a Sentiment Classifier and a program that can write like a real poet! This course is very hands-on and you will be learning everything there is about basic NLP. For those of you who like to dig deep into the theory to understand how things really work, you know this is my specialty and there will be no shortage of that in this course. We'll be covering the state of the art algorithms like word embeddings, tokenization, and deep learning.