Machine Learning Made Easy : Beginner to Expert using Python, Learn Machine Learning Algorithms using Python from experts with hands on examples, practice sessions and projects.
Created by Statinfer Solutions
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What you'll learn
- Python Programming, Data Handling and Cleaning, Basic Statistics, Classical Machine Learning Algorithms, Model Selection and Validation, Advanced Machine Learning Algorithms, Ensemble Learning.
- Write your own Python scripts and work in Python Environment.
- Import, manipulate, clean up, sanitize and export datasets.
- Understand basic statistics and implement using Python.
- Understand data science life cycle while understanding steps of building, validating, improving and implementing the machine learning models.
- Do powerful analysis on data, find insights and present them in visual manner.
- Learn classical algorithms like Linear Regression, Logistic Regression, Decision Trees and advance machine learning algorithms like SVM, Artificial Neural Networks, Reinforced Learning, Random Forests and Boosting and clustering algorithms like K-means.
- Know how each machine learning algorithm works and which one to choose according to the type of problem.
- Build more than one powerful machine learning model and be able to select the best one and improve it further.