Introduction– This machine learning certification course dives into the fundamentals of machine learning using Python, an approachable and well-known programming language. you will find out about supervised vs. unsupervised learning, look into however statistical modeling relates to machine learning, and do a comparison of every.
About Machine Learning with Python certification– Xcelit Pro's Machine Learning Certification training with Python can assist you gain experience in varied machine learning algorithms like regression, clustering, decision trees, random forest, Naïve bayes, and Q-Learning. This Machine Learning training also will assist you perceive the ideas of Statistics, time series, and completely different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms.Once you complete the Machine Learning with Python course, Xcelit Pro will provide you Data Scientist with Python certificate which has lifelong validity. –
- Automate data analysis using python
- Describe Machine Learning
- Work with real-time data
- Learn tools and techniques for predictive modeling
- Discuss Machine Learning algorithms and their implementation
- Validate Machine Learning algorithms
- Explain Time Series and it’s related concepts
- Basics of Python
- You must be comfortable with variables, linear equations, graphs of functions, histograms.
- You should be a good programmer.
Machine Learning with Python Course Syllabus
Understand the behavior of data as you build significant models
Learn about the various libraries offered by Python to manipulate, preprocess and visualize data
Learn about Supervised and Unsupervised Machine Learning
Learn to use optimization techniques to find the minimum error in your machine learning model
Learn various machine learning algorithms like KNN, Decision Trees, SVM, Clustering in detail
Build model using algorithms to implement in scenarios using Python libraries such as Scikit learn
Learn the technique to reduce the number of variables using Feature Selection and Feature Extraction
Understand Neural Network, apply them to classify image and perform sentiment analysis
Learn to use multiple learning algorithms to obtain better predictive performance