Benefits that make Python the best fit for machine learning and AI-based projects include simplicity and consistency, access to great libraries and frameworks for AI and machine learning (ML), flexibility, platform independence, and a wide community. These add to the overall popularity of the language.
Did you know?
Machine learning involves a computer to be trained using a given data set, and use this training to predict the properties of a given new data.Then if we show the computer a new image, then from the above training, the computer should be able to tell whether this new image is a cat or not.
Why learn Machine Learning
Machine learning and artificial intelligence-based projects are obviously what the future holds. We want better personalization, smarter recommendations, and improved search functionality. Our apps can see, hear, and respond – that’s what artificial intelligence (AI) has brought, enhancing the user experience and creating value across many industries
Learn how to create custom lists and libraries in SharePoint. Customize the website to provide the feel of the corporate website. Create external lists using BDC.
How will I perform the practical sessions in Online training?
For online training, US GlobalSoft provides the virtual environment that helps in accessing each other’s system. The detailed pdf files, reference material, course code are provided to the trainee. Online sessions can be conducted through any of the available requirements like Skype, WebEx, GoToMeeting, Webinar, etc.
Machine Learning with python
- Statistical Learning
Understand the behavior of data as you build significant models
- Python for Machine Learning
Learn about the various libraries offered by Python to manipulate, preprocess and visualize data
- Fundamentals of Machine Learning
Learn about Supervised and Unsupervised Machine Learning
- Optimization Techniques
Learn to use optimization techniques to find the minimum error in your machine learning model
- Machine Learning Algorithms
Learn various machine learning algorithms like KNN, Decision Trees, SVM, Clustering in detail
- Building models
Build model using algorithms to implement in scenarios using Python libraries such as Scikit learn
- Dimensionality Reduction
Learn the technique to reduce the number of variables using Feature Selection and Feature Extraction
- Neural Networks
Understand Neural Network, apply them to classify image and perform sentiment analysis
- Ensemble Learning
Learn to use multiple learning algorithms to obtain better predictive performance
Prepare for Certification
Our training and certification program gives you a solid understanding of the key topics covered on the Oreilly’s Python Certification. In addition to boosting your income potential, getting certified in Python demonstrates your knowledge of the skills necessary to be a successful Python Developer. The certification validates your ability to produce reliable, high-quality results with increased efficiency and consistency.