50 Concepts, Algorithms in Machine Learning You Should Know. Introduction to 50 Must know Topics of Machine Learning, Data science. Understand machine Learning Syllabus. Introduction to must know concepts in Machine Learning which will help you to prepare for interview. Learn how to Learn Machine Learning. You will get an idea of complete syllabus in Machine Learning. Improve or refresh knowledge in Machine Learning
This course is designed to give you introduction to syllabus of machine learning. If you want to get started with machine learning then this course will help you. It helps you to get ready for an interview with 50 concepts covering varied range of topics. The course is intended not only for candidates with a full understanding of Machine Learning but also for recalling knowledge in data science.
What you'll learn
This Edureka video on 'Python For Data Science - How to use Data Science with Python - Data Science using Python ' will help you understand how we can use python for data science along with various use cases. What is Data Science? Why Python? Python Libraries For Data Science. Roadmap To Data Science With Python. Data Science Jobs and Salary Trends
Python has been the go-to choice for Machine Learning, Data Science and Artificial Intelligence developers for a long time. Python libraries for modern machine learning models & projects: TensorFlow; Numpy; Scipy; Scikit-learn; Theano; Keras; PyTorch; Pandas; Matplotlib; ...
Complete hands-on Machine Learning tutorial with Data Science, Tensorflow, Artificial Intelligence, and Neural Networks. Introducing Tensorflow, Using Tensorflow, Introducing Keras, Using Keras, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Learning Deep Learning, Machine Learning with Neural Networks, Deep Learning Tutorial with Python
What are the best Python libraries for Machine Learning? We’ll show the must know Python libraries for Machine Learning and Data Science. Python and Machine Learning (ML) are the two most in-demand skills for data scientists. You’ll know exactly where to dive deeper into your Python studying for ML.