AI & ML
Machine Learning with Python
Machine Learning with python course delves deeper into the Machine Learning fundamental concepts further explaining Machine Learning algorithms and their implementation. Equip your team with the necessary skills to develop AI based intelligent applications for your organization with hands-on training in Machine Learning with Python.
Python Machine Learning Training about?
This Python Machine Learning Training equips you with practical skills to build, deploy, and optimize machine learning models. It covers the three major types of ML algorithms—Supervised, Unsupervised, and Reinforcement Learning—using Python.
Gain expertise in classification models, NLP, neural networks, and data pre-processing techniques while working on real-world use cases.
Gain expertise in classification models, NLP, neural networks, and data pre-processing techniques while working on real-world use cases.
What are the objectives of Machine Learning with Python Training ?
By the end of this training, you will be able to:
- Understand real-world ML applications and business use cases
- Perform data wrangling & preprocessing (handling missing values, outliers, etc.)
- Implement regression models (Linear, Polynomial, Ridge, Lasso)
- Build classification models (SVM, Naïve Bayes, Decision Tree, Random Forest)
- Apply clustering algorithms for unsupervised learning
- Optimize ML solutions (Bias-variance tradeoff, Overfitting avoidance, Minibatch, Shuffling)
- Work with Neural Networks (Perceptron, MLP)
- Build and deploy real-world machine learning solutions
Who should take this Machine Learning with Python Training?
This training program is ideal for:
- Data Analysts looking to gain expertise in Predictive Analytics
- Developers interested in Machine Learning
- Data Architects designing ML-driven systems
- Tech Leads managing ML teams
What are the prerequisites for Machine Learning with Python Training?
- Basic Python programming knowledge and fundamentals of data analysis required
- Basic knowledge of statistics and mathematics is good to have
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