Complete Machine Learning & Data Science with Python | A-Z
Use Scikit, learn NumPy, Pandas, Matplotlib, Seaborn and dive into machine learning A-Z with Python and Data Science.
What you’ll learn
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Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and new problems. Whether you’re a marketer, video game designer, or programmer, my course on Udemy will help you apply machine learning to your work.
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Learn Machine Learning with Hands-On Examples
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What is Machine Learning?
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Machine Learning Terminology
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Evaluation Metrics
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What are Classification vs Regression?
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Evaluating Performance-Classification Error Metrics
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Evaluating Performance-Regression Error Metrics
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Supervised Learning
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Cross Validation and Bias Variance Trade-Off
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Use matplotlib and seaborn for data visualizations
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Machine Learning with SciKit Learn
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Linear Regression Algorithm
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Logistic Regresion Algorithm
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K Nearest Neighbors Algorithm
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Decision Trees And Random Forest Algorithm
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Support Vector Machine Algorithm
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Unsupervised Learning
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K Means Clustering Algorithm
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Hierarchical Clustering Algorithm
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Principal Component Analysis (PCA)
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Recommender System Algorithm
Requirements
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Basic knowledge of Python Programming Language
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Be Able To Operate & Install Software On A Computer
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Free software and tools used during the course
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Determination to learn and patience.
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Motivation to learn the the second largest number of job postings relative program language among all others
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Data visualization libraries in python such as seaborn, matplotlib
Who this course is for:
- Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and new problems. It is for everyone
- Anyone who wants to start learning “Machine Learning”
- Anyone who needs a complete guide on how to start and continue their career with machine learning
- Software developer who wants to learn “Machine Learning”
- Students Interested in Beginning Data Science Applications in Python Environment
- People Wanting to Specialize in Anaconda Python Environment for Data Science and Scientific Computing
- Students Wanting to Learn the Application of Supervised Learning (Classification) on Real Data Using Python
