Machine learning with Python is one of the hottest new technologies to emerge in the last decade, transforming fields from consumer electronics and healthcare to retail. Python machine learning training dives into the basics of machine learning using an approachable, and well-known programming language, Python. In Machine learning with Python, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms. Machine learning with Python is a type of Artificial Intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of Computer Programs that can change when exposed to new data. Python machine learning training involves computer to get trained using a given data set and use this training to predict the properties of a given new data. Machine Learning demonstrates knowledge relevant to Machine Learning, Data Scientists & Data Analysts positions. Machine Learning is a subset of AI and is based on the idea that machines should be given access to data, and should be left to learn and explore for themselves. It deals with the extraction of patterns from large data sets.
Machine Learning with Python can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning. Python machine learning training course dives into the basics of Machine Learning using Python, an approachable and well-known programming language. You’ll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, & do a comparison of each.
To reduce development time, programmers turn to a number of Python frameworks & libraries. A software library is a pre-written code that developers use to solve common programming tasks. Python, with its rich technology stack, has an extensive set of libraries for artificial intelligence and machine learning.
The reader must have a basic knowledge of artificial intelligence. He/she should also be aware of Python, NumPy, Scikit-learn, Scipy, Matplotlib.
Module 1: Overview of Python Programming Language
Module 2: Regression
Module 3: K-Nearest Neighbors
Module 4: Naïve Bayes
Module 5: Neural Networks
Module 6: Clustering
Module 7: Network Analysis
Module 8: Classification
Module 9: Deep Learning using TensorFlow
Fees & Schedule
|Delivery Mode||Course Duration||Fees|
|Live Virtual Training||5 Days||Ask for Quote|
|Onsite Classroom Training||5 Days||Ask for Quote|
|Customized Training||5 Days||Ask for Quote|